--- title: Anaconda Core Reviews meta_title: 'Anaconda Core Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 241 reviews by the users' company size, role or industry to find out how Anaconda Core works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 241 scale: '5' date_modified: '2026-08-12' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Anaconda Core Reviews **Vendor:** Anaconda, Inc. **Category:** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) **Average Rating:** 4.5/5.0 **Total Reviews:** 241 ## About Anaconda Core Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is available across hybrid AI environments and cloud platforms such as AWS, Microsoft Azure, Databricks, Snowflake and more with backing from world-class investors including Insight Partners. Learn more at https://www.anaconda.com. ## Anaconda Core Pros & Cons **What users like:** - Users appreciate the **ease of use** of Anaconda Core, facilitating efficient management of packages and dependencies. (74 reviews) - Users praise the **easy installation process** of Anaconda Core, facilitating efficient setup for data science projects. (39 reviews) - Users value the **efficiency** of Anaconda Core, which streamlines setup and enhances productivity in development workflows. (27 reviews) - Users appreciate the **intuitive interface** of Anaconda Core, making data science project management easy and efficient. (25 reviews) - Users value the **coding ease** of Anaconda Core, enjoying seamless package management and streamlined environments for data science. (23 reviews) - User Interface (15 reviews) - Users value the **variety of tools** in Anaconda AI Platform, facilitating effortless coding and project management. (14 reviews) - Integrated Platform (13 reviews) - Data Management (12 reviews) - Users admire the **easy integrations** of Anaconda AI Platform, enhancing their productivity in managing data science projects. (11 reviews) **What users dislike:** - Users face **data management issues** with Anaconda Core, including conflicts, integration challenges, and lack of automatic backups. (11 reviews) - Users experience **slow performance** with Anaconda Core, especially during package installations and on older hardware. (11 reviews) - Users find Anaconda Core's **limited features** frustrating, especially regarding insights and accessibility of new tools. (10 reviews) - Users find the **limited features** of Anaconda Core restrictive, especially lacking real-time code viewing and version control. (9 reviews) - Users frequently mention **limited storage** issues due to Anaconda Core's heavy installation size, complicating usage for many. (9 reviews) - Users experience **slow loading times** on Anaconda Platform, impacting the overall efficiency and user experience. (9 reviews) - Users find the **complexity of access** to the Anaconda AI Platform overwhelming, especially beginners navigating various options. (8 reviews) - Lagging Performance (6 reviews) - Limited Resources (6 reviews) - Users find the **slow startup** of Anaconda AI Platform frustrating, as it significantly delays their workflow and consumes CPU resources. (6 reviews) ## Anaconda Core Reviews ### 1. All-in-One Toolkit for Data Science Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Melissa F. | Senior Director of Data Science, Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2026 **What do you like best about Anaconda Core?** I am a data scientist and use Anaconda Platform for all my work on my local machine. It's a great all-in-one location where I can use Spyder, Jupyter notebooks, and more—all in the same place. I love that everything is downloaded together at once; I don't need to download and maintain separate versions of Python, Spyder, etc. It's easy to set up, with steps to guide you through. Overall, it's a great tool for data science and analytics. **What do you dislike about Anaconda Core?** I'm not sure if it exists, but there should be cloud compute support for Anaconda. I choose to do my work in the cloud so that I can deploy a GPU if needed, since my local doesn't have that. That would really make Anaconda more powerful and more useful. **What problems is Anaconda Core solving and how is that benefiting you?** I find Anaconda Platform is a great all-in-one location for data science work, letting me use Spyder and Jupyter notebooks in the same place without the need to download separate versions. ### 2. A Time-Saving Platform for Data Science and AI **Rating:** 5.0/5.0 stars **Reviewed by:** pravallika . | Analyst, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** January 24, 2026 **What do you like best about Anaconda Core?** Anaconda has been very useful in resolving some of the current issues that were accruing in the environment setup, dependency management, and other tool-related issues. Previously, setting up the environment has been tedious; however, with Anaconda, this has been made very easy, allowing me to concentrate on data analysis rather than constantly fighting with setup issues. **What do you dislike about Anaconda Core?** There is something that I dislike about Anaconda, however. One feature that I dislike is that sometimes the site can be a bit heavy, especially at times of startup or updating. Conflicts in packages still occur, albeit rarely. At times, resolving these could take extra time. The variety of features could be overwhelming to new users. **What problems is Anaconda Core solving and how is that benefiting you?** Anaconda AI Platform helps with various challenges like dependency conflicts, environmental issues, or dealing with several Python libraries. Prior to the usage of Anaconda AI Platform, a great deal of effort went into resolving environmental issues or having to re-install various packages. At the moment, the experience is much neater and conducive, which is helpful because it saves me time and helps me focus on data analyses. ### 3. Anaconda: A reliable and secure platform used for AI workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Vivek D. | Software Developer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** December 25, 2025 **What do you like best about Anaconda Core?** As a AI developer I have used Anaconda for some of my projects and the feature I most like about it are:- 1) Good for projects with shared environment 2) Bundled important python libraries for AI development and Data science which really makes it easy to use 3)Strong open source community to clear doubts 4) Interactive platform for user support and new updates along with the forum 5) Integration with jupyter lab makes it more useful for AI developers **What do you dislike about Anaconda Core?** The features I dislike are:- 1) It uses too much resources for some project which makes it hard to use on local machine 2) Bundled package are not latest sometimes. which makes it difficult to use new features **What problems is Anaconda Core solving and how is that benefiting you?** The problem Anaconda AI platform is solving for me is 1) It helps in package managment in team projects. 2) Its secure and scalable. 3) Covinent for installing dependency with out worrying about version mismatch in project are mutually dependent packages ### 4. All-in-One Data Science Toolkit with Seamless Environment Management **Rating:** 4.5/5.0 stars **Reviewed by:** Gianetan S. | Assistant Professor in Computer Applications, Small-Business (50 or fewer emp.) **Reviewed Date:** December 02, 2025 **What do you like best about Anaconda Core?** The batteries included approach is the biggest advantage. I find it very hepful that it pre-installs the most critical data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib) without needing to fight with dependency conflicts manually. The Anaconda Navigator is great for managing separate environment, Eg- I can keep my deep learning environment separate from my standard stock analysis environment. **What do you dislike about Anaconda Core?** It can be quite heavy on system resources. The base installation consumes a significant amount of disk space. Also the Navigator GUI can sometimes feel sluggish to load on older hardware. The 'Solver' (used for resolving package dependencies) can occasionally be slow when installing new packages. **What problems is Anaconda Core solving and how is that benefiting you?** I use it primarily for financial data analysis and predictive modeling for the stock market. It solves the problem of 'Environment Hell' by allowing me to quickly spin up isolated Python environments for different projects (e.g., one for Kaggle competitions, one for analyzing NSE stock data). It simplifies the workflow so I can focus on the algorithms rather than the setup. ### 5. Streamlined Data Science Made Easy **Rating:** 4.5/5.0 stars **Reviewed by:** Bavly P. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** 1) Anaconda gives immediate access to a large, vetted collection of open source packages commonly used in data analysis, machine learning, data science and AI. That means you don’t have to manually install, and configure everything. 2) Through its package/environment manager (Conda), Anaconda makes it easy to create isolated environments per project, control package versions, avoid dependency conflicts, and ensure reproducibility across machines. 3) Because many data-science and ML libraries come pre-packaged or easily installable, you can start coding, data-analysis, or model prototyping almost immediately without spending a lot of time on installation and setup. This is especially useful when dealing with data preprocessing, exploratory analysis, or quick experiments. 4) Ease of Use is generally strong: I find Anaconda easy to use and its interface intuitive, especially for data-science work. 5) Ease of Implementation is good: It bundles many common libraries and tools, so setup is quick and you can start working quickly (no need to install everything manually). 6) Customer Support is OK but not exceptional: Support and documentation exist; community support and docs are often used. 7) Frequency of Use is high: I use Anaconda daily for data analysis, ML, or research work especially because of convenience of environments, libraries, and notebooks. 8) Number of Features is very good: It offers a wide set of pre-installed libraries, supports multiple languages, IDEs/notebooks, environment management, covering most data-science needs. 9) Ease of Integration is solid: I see that Anaconda integrates well with data-science tools, notebooks, and other workflows, allowing smooth setup of environments and dependencies. **What do you dislike about Anaconda Core?** 1) Not always the most up-to-date or flexible package versions. Because Anaconda uses curated repositories, sometimes the “latest” packages are not immediately available which might matter if you rely on the newest features or fixes. 2)Large installation size. Anaconda tends to install a big bundle of packages by default. That consumes a lot of disk space and can lead to heavy RAM/CPU usage, sometimes noticeably slowing down even light tasks. **What problems is Anaconda Core solving and how is that benefiting you?** Dependency hell & complex package setup With many data-science/ML libraries, installing and ensuring compatibility manually is error-prone. Conda via Anaconda gives you pre-built binary packages and handles all dependencies making setup much simpler and safer. ### 6. From Instagram inspiration to my first successful code: Anaconda makes Python feel like home **Rating:** 4.5/5.0 stars **Reviewed by:** Anton M. | Structural Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 27, 2025 **What do you like best about Anaconda Core?** My journey with Anaconda started in a very unusual way — through a recommendation from an Instagram influencer who promoted it as the best entry point for beginners. I was skeptical, but I decided to give it a try. What I truly love is that Anaconda bridges the gap between a complete novice and the complex world of programming. I remember my first experience: unlike other tools where I got stuck on installation errors, Anaconda worked perfectly on the first try. That feeling of immediate success was incredibly empowering. Even though my job isn't 100% coding-related, I recently received a newsletter from Anaconda that actually worked — it brought back those warm memories of my first steps. It motivated me to return to "vibecoding" using their platform because it feels safe, inclusive, and hassle-free. **What do you dislike about Anaconda Core?** or a "vibecoder" or a hobbyist like me, it is hard to find real flaws. However, if I must be objective, the Anaconda Navigator can sometimes be a bit heavy and slow to launch on older machines compared to lightweight code editors. But considering it carries the entire ecosystem inside, I accept this trade-off for the convenience it provides. **What problems is Anaconda Core solving and how is that benefiting you?** Anaconda solves the "Fear of Starting." I use it to create a stress-free environment for learning and experimenting with Python without the headache of managing libraries manually. It allows me to focus on the creative side of coding rather than the technical maintenance. It keeps my motivation alive. When I tried other tools, I cooled off quickly because they felt too strict or complex. Anaconda brings back the joy and ease of use, making me feel like a developer even without a heavy technical background. ### 7. Effortless Environment Swapping with Anaconda AI **Rating:** 5.0/5.0 stars **Reviewed by:** Louis Y. **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I love how the Anaconda AI Platform allows me to seamlessly swap between different runtimes that involve multiple packages, which would typically conflict with each other. This is incredibly valuable for my AI projects, such as when I need to work with object detection and large language model packages simultaneously. I appreciate the ability to save my project runtimes and run them on any device, which provides unparalleled flexibility and ease of access. Swapping between projects with just a single click is a feature that enhances my workflow significantly. Furthermore, I find assembling environments without running into package compatibility issues to be a significant advantage that simplifies project setup and execution. The initial setup of Anaconda AI Platform was pretty easy, which made it hassle-free to start my projects. Overall, these features collectively enhance my productivity and streamline complex AI project workflows. **What do you dislike about Anaconda Core?** I sometimes find that the Navigator UI doesn't work as intended, which forces me to access features through other means. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to avoid package clashes by swapping between runtimes, saving my environments for easy transfer, and creating environments without compatibility issues. ### 8. Empowers Team Collaboration with Robust Data Tools and AI Assistance **Rating:** 4.5/5.0 stars **Reviewed by:** Konjengbam M. | BDR, Financial Services, Mid-Market (51-1000 emp.) **Reviewed Date:** December 02, 2025 **What do you like best about Anaconda Core?** I love this platform for its powerful and robust tools to synthesize data to a more reasonable output that supports active decision making. Its interface allows co-ordination and co-operation of teams to efficiently collaborate on projects. Though there are lots to say about this platform, I feel that it is worth mentioning about the Anaconda AI Assistant that allows us to create a basic template from where we can customize further to make a complete program is really commendable. I really love its capability to export and run the chat in notebooks. **What do you dislike about Anaconda Core?** I love most part of this platform but the price of purchasing separate packages can be high. I also would say that lots of earing is really necessary to fully explore its capacity. **What problems is Anaconda Core solving and how is that benefiting you?** This platform greatly assist in improving efficiency of projects. Its ability to solve critical issues in testing phase is really outstanding. ### 9. Seamless Interface, Perfect for Beginners **Rating:** 5.0/5.0 stars **Reviewed by:** Ashaolu t. **Reviewed Date:** January 02, 2026 **What do you like best about Anaconda Core?** I love that Anaconda AI Platform makes the user interface seamless and legible, especially for new users like me. It's a great platform for following what I'm being taught in data analysis courses on LinkedIn Learning. I find the visual clarity it provides invaluable as a beginner, helping me follow through and learn each step. The setup is amazing with a step-by-step guide and lots of materials available on the platform to help with any issues. I also appreciate the seamless user journey without any problems. **What do you dislike about Anaconda Core?** I don't know if I'm saying the right thing, but there could be the option for different language functionality. For someone like me who speaks other languages, and other people in places like Africa, I believe that with other indigenous languages available, it would help people who don't understand English because obviously the default language is English. **What problems is Anaconda Core solving and how is that benefiting you?** I find Anaconda AI Platform simple and seamless, with a user-friendly interface that provides visual clarity. It's been the best for learning data analysis, allowing me to follow lessons easily and learn each step as a beginner. ### 10. Great for Beginners, Needs Better Optimization **Rating:** 4.5/5.0 stars **Reviewed by:** Deepesh U. **Reviewed Date:** December 24, 2025 **What do you like best about Anaconda Core?** I find Anaconda AI Platform really helpful for machine learning and deep learning projects because it has a built-in interpreter with most useful packages like numpy, pandas, scikit-learn, PyTorch, and TensorFlow, so I don't have to manually install them. It also has all the IDEs accessible from its platform, making it easier to access, manage, and use. Installing new Python packages in the interpreter is easy through the Anaconda terminal. I like how the user interface is easy to navigate, which is very convenient for a beginner coder like me. This helps me as a beginner in the machine learning and deep learning domain to use different Python packages and access a variety of different IDEs. The initial setup was also very easy. **What do you dislike about Anaconda Core?** I don't like that it takes too long to load sometimes, and installing new packages in Anaconda terminal may need different input commands than regular Python, which can be confusing for some. **What problems is Anaconda Core solving and how is that benefiting you?** Anaconda AI Platform simplifies my work by having essential packages like NumPy and TensorFlow pre-installed, making IDEs easily accessible, and offering a user-friendly interface that's convenient for beginners. ### 11. Effortless Dependency Management and Quick Setup **Rating:** 4.5/5.0 stars **Reviewed by:** Ananthakrishnan B. **Reviewed Date:** December 19, 2025 **What do you like best about Anaconda Core?** I use Anaconda AI Platform for a research project to manage packages with dependency conflicts. I find that conda, in particular, helps me isolate certain packages in their compatible Python versions, which makes it extremely easy and reproducible. I also appreciate using Anaconda environments on Lightning AI because the ease of use and compatibility with GPUs out of the box stand out to me. It saves me a lot of time, especially on cloud environments where I would have to recompile CPython every time I use a new VM. Switching from CPython to Anaconda was a great upgrade, and I found that setting up Anaconda AI Platform was seamless, much easier than compiling my own Python. **What do you dislike about Anaconda Core?** I haven't explored it too much so I don't think I can answer that properly, but here's something that was a pain point: Wouldn't it be better if pip packages were somehow integrated into conda? **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to manage package dependency conflicts, making package management easy and reproducible. It saves me time by avoiding manual compilation of Python versions and is seamless in setup. I appreciate the GPU compatibility and ease of use in cloud environments. ### 12. Streamlined Environment Management and Robust Support **Rating:** 5.0/5.0 stars **Reviewed by:** Anoop S. **Reviewed Date:** December 18, 2025 **What do you like best about Anaconda Core?** I primarily use the Anaconda AI Platform for data analysis, machine learning experimentation, and Python environment management. I really appreciate how it helps create and manage isolated environments for different projects, ensuring consistent package versions and reducing dependency conflicts. I like its simplicity and reliability in managing Python environments and packages, making it straightforward to create isolated environments and significantly reducing dependency conflicts. The overall stability and maturity of the platform are impressive, and it feels well-maintained and reliable, especially for long-running projects where environment consistency matters. I also find the documentation and community support very helpful as they usually provide clear guidance or solutions when issues arise, reducing downtime. The initial setup was straightforward and smooth, with simple installation and minimal configuration required. **What do you dislike about Anaconda Core?** The platform can feel resource-heavy, especially on systems with limited hardware. Also, conda's dependency resolution can sometimes be slow for large environments. Improving performance and speeding up environment setup would make the experience even better. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform for data analysis and machine learning. It resolves environment management issues, reduces dependency conflicts, enables isolated project environments, and simplifies package management. It saves setup time and ensures development consistency across projects. ### 13. User-Friendly Interface, Needs Faster Loading **Rating:** 5.0/5.0 stars **Reviewed by:** Tapiwa Andrew S. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I appreciate the Anaconda AI Platform's easy-to-use interface, which significantly enhances my data analytics work. The integration of its AI system within Jupyter Notebooks is particularly useful and makes my tasks more efficient. Additionally, the initial setup of the Anaconda AI Platform was very easy, which made transitioning to this platform smooth and hassle-free. The overall user experience is positive enough that I would highly recommend Anaconda AI Platform to friends or colleagues, as reflected in my high recommendation score of 10. **What do you dislike about Anaconda Core?** I dislike the loading time of the main page for the software application, which can be inconvenient. **What problems is Anaconda Core solving and how is that benefiting you?** I find the Anaconda AI Platform easy to use with a user-friendly interface, particularly beneficial with Jupyter Notebooks, enhancing my data analytics tasks. ### 14. Reliable, Secure, and User-Friendly Data Science Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Harikrishna Rao M. | Enterprise (> 1000 emp.) **Reviewed Date:** December 16, 2025 **What do you like best about Anaconda Core?** I really like the reliability and simplicity of Anaconda AI Platform in managing complex data science projects. The ability to create, isolate, and reproduce environments has significantly reduced bottlenecks for me. I also appreciate the curated package ecosystem and the built-in security scanning, which provide confidence when using open-source libraries. The platform's reliability ensures environments behave consistently across various phases, and its simplicity lowers the barrier for onboarding and accelerates project startups. The security feature reduces the risk associated with using open-source packages, giving visibility into known vulnerabilities and ensuring that libraries come from trusted, vetted sources. Additionally, the initial setup was really straightforward. **What do you dislike about Anaconda Core?** Environment resolution and package installation can occasionally be slow, particularly for complex environments with many dependencies. Clear documentation and guided workflows for deployment integrations would help reduce start/set-up time and improve discoverability. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to manage data science workflows, handling environment management and dependency conflicts. It simplifies onboarding, speeds up project startups, and reduces risks with open-source packages through built-in security. Reliability and a curated package ecosystem help maintain consistent environments. ### 15. Anaconda AI: A Game-Changer for Data Projects **Rating:** 5.0/5.0 stars **Reviewed by:** Sai . | Software Developer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** September 25, 2025 **What do you like best about Anaconda Core?** The Anaconda AI Platform enables AI development that is both effective and convenient. It can seamlessly integrate with machine learning frameworks that are popular with data scientists and enables streamlined setting-up and managing of complex data science projects, allowing users to focus more on developing models, rather than managing the underlying system configuration. **What do you dislike about Anaconda Core?** I don't like that the Anaconda AI Platform can be overwhelming sometimes, especially to people who haven't used the software before. There is a lot of content to learn, and not everything feels very "intuitive." When working with large datasets, I find using the platform can be slower than I prefer, which can impact productivity. **What problems is Anaconda Core solving and how is that benefiting you?** The Anaconda AI Platform addresses the challenge of managing dependencies and complex environments in data science and AI work. It integrates the different components I need in one platform to save me time and the hassle of getting everything set up. The software has been great when handling large datasets or training machine learning models since I do not have to think about the configuration of my system. It has helped me get my work in data science and AI arranged better to allow me to think more about building and testing models and less about managing technology. ### 16. A powerful and reliable platform for data science and AI development **Rating:** 4.5/5.0 stars **Reviewed by:** Sidath P. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 24, 2025 **What do you like best about Anaconda Core?** Anaconda AI Platform provides a complete environment for managing data science and AI workflows. Its package management and environment handling are seamless, making it easy to install, update, and manage libraries without dependency conflicts. I especially value the large ecosystem of pre-built packages, Jupyter integration, and the ability to quickly prototype, test, and deploy models. It saves a lot of setup time and improves productivity, particularly for Python-based AI development. **What do you dislike about Anaconda Core?** While Anaconda is excellent, it can sometimes feel heavy—especially in terms of storage space and environment size. Package downloads can be slow, and certain updates may break compatibility with older environments. The enterprise edition could also benefit from more streamlined integration with cloud platforms and better optimization for large-scale distributed workloads. **What problems is Anaconda Core solving and how is that benefiting you?** Anaconda AI Platform solves the problem of environment and package management in AI and data science projects. It eliminates dependency conflicts and ensures that different projects can run in isolated environments without breaking each other. It also centralizes the toolchain for data science, allowing me to work with Jupyter notebooks, machine learning libraries, and visualization tools in one place. This has significantly improved productivity, reduced time spent on setup, and allowed me to focus on model development and analysis rather than troubleshooting environment issues. ### 17. Anaconda: Empowering Analysts with Real-Time Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Aditya C. | Management Information System Analyst **Reviewed Date:** December 04, 2025 **What do you like best about Anaconda Core?** I use the Anaconda AI Platform for learning and testing purposes, and it helps me create KPI dashboards and reports. I'm really happy and grateful for how it supports me in making charts and analyzing data, especially for LinkedIn. It's very useful for creating dashboard charts and handling heavy Excel sheets without hanging, showing real-time results without needing extra software. I also appreciate that I can connect easily with most databases. The platform's easy setup, without blocking services on Windows, is a major plus. Using Anaconda is a game-changer for learning new things and exploring opportunities. It's very easy to install, and I'm happy with the platform overall. **What do you dislike about Anaconda Core?** No **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to handle heavy data without hanging, create KPIs easily, and explore new learning opportunities. It provides real-time results and connects with databases like SQL, making it easier for me as an analyst and aspiring data scientist. ### 18. Convenient cloud solution for Python development **Rating:** 5.0/5.0 stars **Reviewed by:** Valentin S. | Enterprise Product Management - Senior Product Manager HCP SAFe **Reviewed Date:** December 03, 2025 **What do you like best about Anaconda Core?** I like the Anaconda AI Platform for its excellent support and the ability to connect to Anaconda Cloud from any device. I also appreciate the ability to easily transfer files to and from the cloud from any device. The paid version of Anaconda AI allows me to work with data sources on the internet without restrictions, which is extremely important to me. I also find that Anaconda's cloud solution is much more convenient than using a local Python development environment. The initial setup was straightforward, and I handled it easily. Moreover, I am so satisfied with the user experience that I rated the likelihood of recommending the Anaconda AI Platform to a friend or colleague as 10 out of 10. **What do you dislike about Anaconda Core?** It might be cool to automatically suggest the user restart the kernel when updating/replacing files related to the codebase of the current project. **What problems is Anaconda Core solving and how is that benefiting you?** I use the Anaconda AI Platform for developing analytical applications in Python and debugging them, solving the problem of code deployment and working with internet sources without restrictions. The platform offers good support and the ability to work with Anaconda Cloud from any device. ### 19. I have used Anaconda for 10+ years **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** November 30, 2025 **What do you like best about Anaconda Core?** Honestly, what I find most brilliant about the Anaconda AI Platform is that it just eliminates the "dependency hell" that usually plagues Python development. If you’ve ever tried to manually install a dozen machine learning libraries only to have them all break because one version of NumPy didn’t agree with another, you’ll know exactly why Anaconda is such a relief. It handles all that messy wiring for you. Here is a breakdown of what makes it stand out, from a "day-to-day use" (I use at work every week) perspective: 1. The "Batteries Included" Philosophy The best bit is definitely the convenience of implementation. You download one installer, and suddenly you have everything you need: Python, Jupyter Notebooks, pandas, scikit-learn and hundreds of other data science packages. You don't have to spend your first afternoon hunting down libraries; you can just open a notebook and start coding immediately. It feels like moving into a furnished flat rather than an empty house. 2. Lifesaver While pip is great, the conda package manager is the real hero here. Safe Experimentation: It lets you create isolated "environments" for every project. You can have one environment with an old version of TensorFlow for a legacy project and another with the cutting-edge PyTorch version for something new, and they won't interfere with each other. Non-Python Libraries: Unlike standard Python tools, Conda can install non-Python dependencies (like C libraries) that data science packages often rely on. It saves you from having to compile things from source, which can be a nightmare on Windows. 3. Running AI Locally (Cool Stuff) Recently, they’ve added features like the AI Navigator, which allows you to download and run Large Language Models (LLMs) directly on your own laptop. This is massive for privacy. You can experiment with AI assistants without sending your data to the cloud. It turns your local machine into a private AI lab, which is incredibly empowering. 4. Agnostic and Stable It works almost exactly the same whether you are on Windows, macOS, or Linux. This consistency is underrated but vital if you are working in a team where everyone uses different operating systems. You know that if it runs in your Anaconda environment, it’s likely to run in theirs too. In short, I like it because it lets you focus on the maths and the code rather than the configuration. It removes the friction between having an idea and testing it out. Note: For customer support, I have yet to experience any of it, thus I cannot comment much about it. **What do you dislike about Anaconda Core?** Disclaimer: This is not anything about "dislike". It's just an experience/observation over the years. Hope it helps. The full Anaconda installer is huge (gigabytes). It installs hundreds of packages you will likely never use. It feels a bit like buying a whole supermarket just because you wanted a pint of milk. Perhaps this is why many of us switch to Miniconda (the stripped-down version) eventually. **What problems is Anaconda Core solving and how is that benefiting you?** It solves the configuration headache. Instead of spending three days figuring out why your C++ compilers aren't talking to your Python installation, Anaconda gives you a pre-built binary that just works. It lowers the barrier to entry for maths and science enormously. ### 20. Fast, Accessible, But Needs UI Improvements **Rating:** 4.5/5.0 stars **Reviewed by:** Yusuf L. **Reviewed Date:** November 28, 2025 **What do you like best about Anaconda Core?** I find Anaconda AI Platform incredibly impactful and accessible, making it suitable for both beginners and those seeking to further their knowledge. Its speed availability is one of the standout features, as it allows me to run scripts efficiently and tackle a variety of projects without system restrictions. The backend support is another aspect I appreciate, as it provides the necessary power and flexibility for my project needs. Additionally, the initial setup of Anaconda AI Platform was easy, which is a significant advantage, allowing me to get started quickly without encountering hurdles. **What do you dislike about Anaconda Core?** I dislike the current user interface of the Anaconda AI Platform. It lacks the functionality to view code in action in real-time, a feature that is more streamlined and user-friendly in platforms like Streamlit or Replit. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to run scripts and learn with ease, benefiting from its speed and backend features. It allows me to tackle various projects seamlessly, without restrictions, providing an impactful and accessible platform for both beginners and advanced users. ### 21. Powerful for Data Analysis, but Demanding on Resources **Rating:** 4.5/5.0 stars **Reviewed by:** José Napoleón Z. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I love using Anaconda AI Platform both for my office work and my personal projects, as it allows me to perform data analysis and reporting efficiently. One of the features I appreciate the most is the ease it offers for the development and training of all kinds of models, which is crucial for my work, especially in the analysis of banking clients and scoring calculation. The platform helps me extract valuable information from clients and generate credit analyses with a confidence level close to 80%, which really adds value to my work. Additionally, I like the capability of Anaconda AI Platform to facilitate the cleaning, organization, and merging of many files, as well as the automations regarding BSC calculations and product comparisons. **What do you dislike about Anaconda Core?** I don't like that the use of resources by Anaconda AI Platform is heavy, especially for modest machines like the ones I use at work. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform for data cleaning and organization, automation of calculations, and credit analysis. It facilitates the development of models and the extraction of valuable information, improving my efficiency in banking analysis. ### 22. Simplifies Package Management for Machine Learning **Rating:** 4.5/5.0 stars **Reviewed by:** Zoya H. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I really appreciate the package management features of Anaconda AI Platform, as they significantly enhance my workflow. Previously, I had to create a virtual environment for each project while using PIP, which was quite cumbersome. With Anaconda, I have managed to streamline this process by creating a large repository across my computer and conveniently downloading necessary packages using Conda and Anaconda itself. This has been incredibly efficient for handling machine learning tasks and hosting Jupyter Notebooks. Additionally, Conda outperforms Homebrew, especially on Mac, when dealing with machine learning and data science tasks. The intuitive UI of Anaconda Navigator is also a great asset, offering an additional layer of interface that simplifies navigating the numerous packages I use, particularly within the virtual environments I create. It's a powerful tool that has consistently provided a seamless and efficient experience. **What do you dislike about Anaconda Core?** I am frustrated that the Python versions are sometimes delayed in the Anaconda AI Platform and Conda package manager. This delay can be inconvenient, especially when newer versions of Python are needed for projects. Additionally, I feel the user interface of the Anaconda Navigator could be improved as it currently lacks some user-friendly features, making navigation less intuitive than it could be. **What problems is Anaconda Core solving and how is that benefiting you?** I use the Anaconda AI Platform for efficient package management, simplifying machine learning tasks and data science by handling virtual environments with ease. ### 23. Comprehensive and Easy-to-Use Tool for Data Science **Rating:** 4.5/5.0 stars **Reviewed by:** Celso M. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I really like the Anaconda AI Platform due to its ability to integrate artificial intelligence into various aspects, providing a comprehensive experience in data science. The platform is an open-source distribution of Python and R, specially designed for data science, making it easy to set up development environments without the need to install each library individually. I value the inclusion of hundreds of pre-installed packages and tools like Anaconda Navigator and the conda package manager, which simplify the installation and updating of libraries and the management of virtual environments. It offers great development tools like Anaconda Navigator, Spyder, and Jupyter Notebook/Lab, which facilitate the creation and execution of code. The initial installation was easy and quick, providing a ready-to-use development environment instantly. The platform is widely used for predictive analysis tasks, time series modeling, and the development of artificial intelligence applications at production scale, which is extremely advantageous for my continuous learning and progress in the field. Additionally, the flexibility to choose between free and paid versions depending on corporate needs is a significant positive point. **What do you dislike about Anaconda Core?** The ability to use **What problems is Anaconda Core solving and how is that benefiting you?** I use the Anaconda AI Platform to simplify the setup of development environments and focus on data analysis, avoiding manual installation and allowing easy access to various scientific tools and libraries. ### 24. All-in-One Python Environment with Seamless Experience **Rating:** 4.5/5.0 stars **Reviewed by:** Alexandra P. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I really appreciate that the Anaconda AI Platform comes prepackaged, making it straightforward and convenient to use right from installation. It includes everything I need to work efficiently, especially useful applications for coding like Jupyter Notebook and Spyder, which I find indispensable. The platform features Conda, which allows me to easily update packages without hassle. Its graphical interface enhances my user experience by simplifying navigation, allowing even those not comfortable with command-line interfaces to work smoothly. Anaconda AI Platform's all-in-one environment consolidates various tools and utilities, making my development tasks more streamlined and less fragmented. **What do you dislike about Anaconda Core?** I sometimes need admin rights to update, which is an inconvenience although not required for everything. I still find myself using the command prompt for updating packages. It would be more convenient if updating libraries could be done through the graphical interface, which would also make changing environments easier. Additionally, I'm missing a feature to set up a root directory for Jupyter Notebook within the platform. **What problems is Anaconda Core solving and how is that benefiting you?** I find the Anaconda AI Platform provides a complete coding environment with Python setup, offering ease with prepackaged tools and a graphical interface, though it could improve on admin rights requirement and graphical updates. ### 25. Robust Features, A Must-Have for ML Projects **Rating:** 5.0/5.0 stars **Reviewed by:** Ayush S. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I love the ready-to-use secure Python ecosystem provided by the Anaconda AI Platform. It offers a curated, secure, and stable environment, which saves me a lot of time as I don't have to waste effort fixing Python versions, libraries, dependencies, or environment conflicts, making it perfect for my machine learning and data work. I also enjoy the environments that work seamlessly for AI and ML, complete with GPU support and reproducible setup, which allow me to quickly spin up isolated environments with necessary tools like TensorFlow and PyTorch. The Anaconda Navigator and its smooth cloud workflow, along with the built-in graphical user interface and pre-built tools, make it beginner-friendly while still powerful for professionals, enabling me to manage projects, environments, and packages without needing to use the command line if I choose not to. I highly appreciate the enterprise-grade security offered by the AI platform, which scans packages to ensure there is no malicious code and provides compliance, a crucial feature for companies and a great talking point in interviews. The easy deployment options to package models, notebooks, and workflows into reproducible, shareable environments are especially useful for collaboration or preparing projects for production. Additionally, the massive ecosystem and community support with a huge library, quick fixes, documentation, and stable updates have been a lifesaver for my work in ML research and AI systems. **What do you dislike about Anaconda Core?** Anaconda AI Platform is quite resource-intensive and has a bulky installation process. This can be problematic as the base distribution and navigator consume a significant amount of space, causing the system to feel slow, especially on mid-range machines. Solving environments can be time-consuming, with dependency issues arising frequently, particularly when dealing with complex machine learning packages. This can slow down workflows and cause frustration compared to using other tools such as Drift + venv or Mamba. Additionally, updates may occasionally break existing setups, leading to conflicts and requiring careful version synchronization. This has at times disrupted ongoing projects. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform for a secure Python ecosystem, easing dependencies, environment management, and seamless integration with ML frameworks, boosting productivity in ML projects and ensuring secure, compliant environments. ### 26. Effortless Python Management with Powerful Features **Rating:** 4.5/5.0 stars **Reviewed by:** Jan D. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I find the Anaconda AI Platform exceptionally valuable for managing Python environments easily, especially when dealing with specific Python versions and pip packages. It is highly convenient because it operates smoothly on both Windows and Linux. I particularly love how it addresses the common issue of package version compatibility, which makes it straightforward to run projects directly from GitHub by ensuring the correct versions of Python and pip packages are accessible. The familiar notebook features combined with additional functionalities such as the Anaconda AI assistant significantly enhance the experience. I also appreciate the AI-powered autocomplete, contextual hints, and smart recommendations, along with the enhanced notebook features, for providing a seamless coding experience. The initial setup was remarkably easy, which contributed to a great overall user experience. **What do you dislike about Anaconda Core?** I find the integration with other tools like VS Code or NeoVim or the terminal lacking. Additionally, I believe the platform could improve its collaboration features, striving to offer something akin to Google Colab. **What problems is Anaconda Core solving and how is that benefiting you?** I use the Anaconda AI Platform for managing Python environments with specific versions and pip packages. It solves compatibility issues and includes features like AI-powered autocomplete and enhanced notebooks, boosting productivity and ease of use. ### 27. Beginner-Friendly, Powerful UI for AI Projects **Rating:** 4.5/5.0 stars **Reviewed by:** Haofei L. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I really appreciate how the UI of the Anaconda AI Platform is exactly my type, making it effortless to get started, especially as a beginner. It is very convenient to find what I want and easy to switch between environments, which significantly enhances the usability and efficiency of the platform for me. The availability of tutorials also eases the learning curve and supports a smoother experience as I study and explore new features. Overall, these attributes contribute to a very beginner-friendly and advantageous platform that aligns with my needs. **What do you dislike about Anaconda Core?** I find the initial setup challenging if you’re unfamiliar with the environment, especially in terms of deploying the path. Although tutorials are available to assist, the setup isn't intuitive for beginners. Additionally, the lack of multi-language support, particularly the absence of a Chinese language option, is a limitation. **What problems is Anaconda Core solving and how is that benefiting you?** I find Anaconda AI Platform simplifies environment deployment and function search, making it easy for beginners like me to get started and switch environments conveniently. ### 28. Streamlined Python Projects with GPU Speed Boost **Rating:** 5.0/5.0 stars **Reviewed by:** Hoàng T. **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I really appreciate the Anaconda AI Platform for its simplified package and environment management, which streamlines the process significantly for me. Access to a secure open-source ecosystem is another aspect I find incredibly valuable, making it easier to leverage a wide range of resources confidently. The enterprise-grade governance controls ensure that my work remains compliant with necessary standards, which is reassuring. What I like most about the platform is how it has enhanced the speed of my project execution by supporting GPU capabilities and efficient environment management. The platform's compatibility with CUDA is particularly beneficial, as it ensures smooth and seamless project operations, which I find crucial for my workflows. Additionally, the initial setup of the Anaconda AI Platform was very easy, further enhancing its user-friendliness and making the overall experience delightful. Given these positive experiences, I'm highly likely to recommend Anaconda AI Platform to my friends and colleagues. **What do you dislike about Anaconda Core?** None **What problems is Anaconda Core solving and how is that benefiting you?** I find that Anaconda AI Platform simplifies package and environment management, provides access to a secure open-source ecosystem, and offers enterprise-grade governance controls. It also speeds up my project performance thanks to its compatibility with CUDA. ### 29. Flexible and Easy, Needs Speed Improvement **Rating:** 4.5/5.0 stars **Reviewed by:** Rafif R. **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I really like how the Anaconda AI Platform manages library packages securely, preventing conflicts between one environment and another. This package management system is more directed according to the needs I require and makes it easier for me when learning and building AI models independently. I also find the initial setup for running local AI models on the computer very easy, providing the freedom to choose existing models more efficiently. Overall, the experience with this platform makes me very satisfied to the point that I don't switch to other products, because I already like what this platform offers too much. **What do you dislike about Anaconda Core?** I feel bothered by the long time it takes to download several libraries at once using 'conda install'. This process can take up to an hour because it has to ensure version compatibility for each library, making the usage less efficient. Additionally, the interface on the desktop version of the Anaconda AI Platform is not very pleasant to look at and seems cluttered, which confuses me when I want to check the version while using the application. **What problems is Anaconda Core solving and how is that benefiting you?** I feel that the Anaconda AI Platform facilitates the packaging of library packages so that there are no conflicts between environments and makes it easier to set up and self-learn AI models, although downloading several libraries at once can take time. ### 30. Effortless Model Deployment, Perfect for Developers **Rating:** 5.0/5.0 stars **Reviewed by:** Brandon R. **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I appreciate how accessible the Anaconda AI Platform is to all users, making it remarkably easy to use and straightforward, without any unnecessary bloat. It mostly offers the tools that devs require, ensuring a distraction-free environment, as there are no ads. The platform is ideally suited for developers and excels in every way. One of the standout features is the ability to readily use a wide variety of models through simple setup and preparation, which is virtually seamless when it comes to deploying these models. The initial setup process is also very straightforward; I just had to download it, set it up, and my models were ready to use. This simplicity ensures that I can focus on developing personal applications for my job efficiently. The platform's intuitive design and efficient model management make it a perfect tool for any developer. **What do you dislike about Anaconda Core?** Sometimes, I am unaware of the new features available, which can be a setback. The information about the new tools isn't always straightforward or easily accessible for developers. There could be improvements in providing courses or certifications for new users, which would greatly assist in understanding and utilizing the new features efficiently. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to manage and deploy different models seamlessly for business apps, enhancing productivity and ease of use with synchronized and ready-to-deploy tools. ### 31. Effortless Environment Setup with Visual Appeal **Rating:** 5.0/5.0 stars **Reviewed by:** Tommaso M. **Reviewed Date:** November 30, 2025 **What do you like best about Anaconda Core?** I like using the Anaconda AI Platform to easily open VSCode and Spyder applications, which enhances my development workflow significantly. The seamless integration of these IDEs through Anaconda makes it incredibly convenient. I find the platform's ease of use particularly valuable; it simplifies my tasks and allows me to focus more on the actual work rather than technical hurdles. The graphical features provided by Anaconda AI Platform are impressive, making data visualization and manipulation tasks straightforward and aesthetically pleasing. Additionally, I appreciate how smooth the terminal output appears when using Anaconda, which suggests a well-designed interface and efficient performance. Overall, I have no complaints about Anaconda AI Platform and find every aspect of it to be satisfactory. **What do you dislike about Anaconda Core?** Nothing really **What problems is Anaconda Core solving and how is that benefiting you?** I find Anaconda AI Platform convenient for launching VSCode and Spyder with ease of use and effective graphics, simplifying my environment setup and workflow. ### 32. Effortless Python Coding with Comprehensive Toolset **Rating:** 5.0/5.0 stars **Reviewed by:** Pedro M. **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I love the comprehensive and intuitive disposition of tools that the Anaconda AI Platform offers. The user experience (UX) is exceptionally easy to navigate and clearly displays every tool available, providing a full environment for developing software. This makes managing dependencies and environments seamless, as I can efficiently create them using Conda instead of manually configuring environments like I used to. I particularly find the Anaconda Prompt incredibly useful for coding in Python, as it simplifies the process significantly. The initial setup was very easy, which made transitioning to the platform effortless. Overall, my experience with Anaconda AI Platform has been highly positive, and I would confidently recommend it to others. **What do you dislike about Anaconda Core?** Not having installed it before **What problems is Anaconda Core solving and how is that benefiting you?** I use the Anaconda AI Platform to manage dependencies and environments efficiently, benefiting from its easy UX and comprehensive tool availability, which creates a full software development environment. ### 33. Seamless Python Coding with AI Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Ahmed S. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I appreciate the Anaconda AI Platform for its seamless integration with Jupyter Notebook. It reads my Python code directly without needing me to explain, which makes my coding process much more efficient. The platform effectively solves issues in my code, helping me create the perfect program. I also find the initial setup to be pretty easy, which is a relief compared to other platforms. Overall, these features make using Anaconda AI Platform a delightful experience. **What do you dislike about Anaconda Core?** Sometimes, albeit rarely, the Anaconda AI Platform struggles to understand the goal of my program, especially when dealing with complex codes. In such instances, it doesn't always grasp the nuances, which can be frustrating. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to easily integrate and run Python code within Jupyter, solving code issues efficiently without switching environments. It enhances my productivity by reading and understanding my code seamlessly. ### 34. Simple and Versatile Platform with Jupyter **Rating:** 4.5/5.0 stars **Reviewed by:** Carlos F G. **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I love the simplicity with which I can use Anaconda AI Platform. I really appreciate that the interface allows coding without many problems, which is essential for me. Additionally, I find the use of Jupyter Notebooks very valuable, as it is extremely simple and well-supported. I also value being able to use Anaconda anywhere, on all my devices, which provides great flexibility. The initial setup of the Anaconda AI Platform was very easy and didn't take me much time. I am so satisfied with the platform that I would recommend it with a rating of 9 out of 10. **What do you dislike about Anaconda Core?** Perhaps it would be good to improve ecosystem management, sometimes it gets a bit complicated for me. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to learn coding in Python and R, solving coding problems with its simple interface and access on multiple devices. ### 35. All-in-One Python Solution, But Heavy on Storage and Updates **Rating:** 5.0/5.0 stars **Reviewed by:** Sergio P. | Analytical Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** October 30, 2025 **What do you like best about Anaconda Core?** Anaconda offers a comprehensive environment that greatly simplifies working with Python and various data science tools. I appreciate that it comes pre-installed with many of the key libraries I rely on for my academic and research projects, such as NumPy, Pandas, Matplotlib, and Jupyter Notebook. Managing multiple environments for different projects—like thesis work, school assignments, or data analysis—is also very convenient. The installation process is simple, and I rarely have to deal with package compatibility problems. We (at the university) have used it everyday since I started my masters degree. It was really easy to integrate with my environment. **What do you dislike about Anaconda Core?** The primary drawback of Anaconda is that it tends to consume a significant amount of storage and memory. On older computers, it can take a noticeable amount of time to load, and it occupies more disk space than simply installing Python and the required packages individually. Occasionally, updating or switching between environments leads to minor dependency conflicts that I have to resolve manually. Additionally, having to download or update the entire distribution seems excessive when I only need a handful of specific libraries. Sometimes Customer Support could take long to respond a ticket, but they resolve your doubts. **What problems is Anaconda Core solving and how is that benefiting you?** Anaconda helps me manage all my Python environments and dependencies in one place, which used to be a major headache when switching between academic and personal projects. For my thesis and data analysis work, it provides a consistent setup with libraries like NumPy, pandas, and scikit-learn ready to use without version conflicts. It also simplifies working with machine learning and AI frameworks by offering easy installation and integration. This has saved me a lot of setup time, reduced technical errors, and allowed me to focus more on coding, analysis, and model development instead of troubleshooting environments. ### 36. Fast and User-Friendly with Powerful Assistance **Rating:** 5.0/5.0 stars **Reviewed by:** Sara M. **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I appreciate that the Anaconda AI Platform is very fast, which enhances my coding and programming experience by reducing wait times and increasing efficiency. I find it particularly valuable that whenever I have questions or encounter challenges in programming, I can easily ask the platform, and it provides me with solutions. This capability makes my interaction with the platform both straightforward and productive. Additionally, the initial setup of the Anaconda AI Platform was easy, which saved me time and allowed me to start working with it without much hassle. Overall, I like how it supports me in programming and problem-solving, making it an essential tool for my tasks. **What do you dislike about Anaconda Core?** I do not know **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform for fast assistance in coding and programming, where I can ask questions and get solutions easily. ### 37. One of the most famous and all in one starting kit for Data Science and AI Development **Rating:** 5.0/5.0 stars **Reviewed by:** Arka S. | Systems Integration Senior Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** July 29, 2025 **What do you like best about Anaconda Core?** Anaconda offers an all-in-one environment that simplifies data science development and the experiment process. Dependency management with conda is usually great. The way it comes pre-installed with the most essential data science package makes it a go-to choice for any work or project to start with. Also, its integration with Jupyter Notebooks and Jupyter Lab is one of the best things that really makes Anaconda a powerful IDE that provides a smooth experience for code execution, visualization, and iterative development. **What do you dislike about Anaconda Core?** It's resource hungry to boot Anaconda Navigator, the start page of the Anaconda platform. So, it takes some time with a little weaker machines. And thus, a little not-so-good experience. The initial installation size is large. If using both conda and pip, it becomes a little troublesome and often causes issues. Also, conda is difficult to recreate. There is no easy way to recreate all dependencies the way we can do with poetry. Thus not preferable if working with containers. **What problems is Anaconda Core solving and how is that benefiting you?** It streamlines the setup and management of complex Python environments, solving the headache of dependency conflicts and package installation. Thus, it's really great for beginners in data science so that they can spend more time learning and working on data science rather than scratching their heads trying to install basic dependencies correctly. By providing an isolated, well-documented ecosystem with access to trusted packages, it minimizes time spent troubleshooting and maximizes productivity. Features like easy environment creation, GUI-based package installation, Jupyter Lab, and notebook really make the overall data science work fun and boost confidence. Overall, it brings structure, reliability, and efficiency to the entire lifecycle of analytical tasks. ### 38. Effortless Model Design with Extensive Library Support **Rating:** 5.0/5.0 stars **Reviewed by:** Hope M. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I love how the Anaconda AI Platform is incredibly easy to use, which is crucial for my work at the varsity level in model design and coding. Its compatibility with a wide range of open-source data science libraries and popular Integrated Development Environments (IDEs) such as PyCharm, as well as specialized MLOps tools, enhances my productivity significantly. The platform's simplicity in the initial setup, especially with guidance from someone experienced, further underscores its user-friendliness. Its efficiency in solving intricate chemical engineering modeling problems and calculations stands out, making it an invaluable tool in my workflow. **What do you dislike about Anaconda Core?** Nothing really **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to address chemical engineering modeling problems, benefiting from its ease of use and compatibility with various data science libraries, IDEs, and MLOps tools. ### 39. Intuitive and Welcoming for Python Learners **Rating:** 4.5/5.0 stars **Reviewed by:** Michael B. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I use Anaconda AI Platform mainly to learn Python, and it effectively addresses the complexity of access. What I appreciate most is how it makes learning easier and more welcoming, which is invaluable for anyone new to programming. The inviting UI/UX contributes significantly to this positive experience, with its warm bright colors and easy-to-read format that isn't bogged down with jargon or unnecessary design features. I also find the initial setup process to be very easy, which adds to the overall positive user experience. **What do you dislike about Anaconda Core?** The complexity of access to the Anaconda AI Platform was a concern for me. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform to learn Python, making it easier and more welcoming through its inviting UI/UX and warm colors, reducing complexity of access. ### 40. Diverse and Easy to Use, Despite Initial Obstacles **Rating:** 5.0/5.0 stars **Reviewed by:** Esma D. **Reviewed Date:** December 15, 2025 **What do you like best about Anaconda Core?** I find the Anaconda AI Platform very versatile, and I appreciate that you can use many different tools. I particularly like using Jupyter Notebook or Spyder, as errors are displayed and explained. Additionally, I find the usage quite straightforward and easy. **What do you dislike about Anaconda Core?** At the beginning, the download was a bit confusing, and I didn't really understand which tool I should use in Anaconda. It could be clearer and usable for more things. **What problems is Anaconda Core solving and how is that benefiting you?** I use the Anaconda AI Platform in lectures to solve programming tasks and build programs. The errors are explained, which makes the usage simple and manageable, and I appreciate the variety of tools, especially Jupyter Notebook and Spyder. ### 41. Highly Efficient for Data Analysis, Setup Could Improve **Rating:** 5.0/5.0 stars **Reviewed by:** Azaré M. | Customer Satisfaction Analyst II **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I appreciate the Anaconda AI Platform for its ability to automate data analysis tasks, especially when it comes to data cleaning, charting, graphing, and reporting. I enjoy coding in Python with Anaconda AI Platform, which makes my work tasks significantly easier and more efficient. The platform helps streamline my workflow by automating repetitive tasks, which contributes to a more efficient data analysis process. These capabilities are incredibly valuable as they save time and allow me to focus on interpreting data rather than getting bogged down with repetitive technical tasks. **What do you dislike about Anaconda Core?** It should be easier to set up. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform for automating data cleaning, creating charts and graphs, and reporting, making my data analysis tasks more efficient. ### 42. Excellent Learning Modules for Python Beginners **Rating:** 4.5/5.0 stars **Reviewed by:** Steven D. | Principal Owner, Small-Business (50 or fewer emp.) **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** For me because I am a beginner when it comes to the use of AI technologies I appreciate the learning modules that anaconda offers. Especially in regards to the python programming language. **What do you dislike about Anaconda Core?** At the moment the only thing I dislike is that there aren't any free options in regards to the learning. **What problems is Anaconda Core solving and how is that benefiting you?** I am able to use the notebooks provided by anaconda to play around and learn about machine learning and A.I. workflows and data sets. ### 43. Streamlined Python Environment Management **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I love using the Anaconda AI Platform for my Python projects because it provides instant access to popular Python packages like NumPy, Matplotlib, and Pandas, which simplifies my workflow significantly. The code generation features are incredibly helpful in quickly developing scripts, and the debugging assistance helps me fix errors efficiently. Anaconda AI Platform also excels at suggesting suitable libraries tailored to my project's needs, which enhances my development process. The cross-platform consistency is a major advantage, ensuring that my projects run smoothly on different operating systems without compatibility issues. I appreciate the seamless integration with Jupyter Notebook, as it allows me to conduct data analysis and visualization effectively within Anaconda. Transitioning to Anaconda from a basic Python setup with pip and virtual environments was a game-changer for my team, as we no longer face the dependency issues we used to with our previous setup, thanks to the smoother environment management provided by Conda. Additionally, setting up the platform was straightforward, and getting the base environment up and running did not take long at all. Overall, the platform's comprehensive features and ease of use make it an invaluable tool in my development toolkit. **What do you dislike about Anaconda Core?** I dislike the limited features available in the Free Tier of Anaconda AI Platform. It doesn't offer enough depth in terms of insights, AI tokens, and agentic AI modes. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform for instant access to popular Python packages, code generation, debugging, and library suggestions. It offers cross-platform consistency and smooth environment management with Conda, improving dependency handling over basic setups. ### 44. Effortless Python Environment Management **Rating:** 4.5/5.0 stars **Reviewed by:** Aditya V. | Associate Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** December 27, 2025 **What do you like best about Anaconda Core?** I find it very approachable, which is its greatest advantage. I use it to install packages like Pandas, Numpy, and Scikit-Learn for my Python projects. It helps me maintain a good and organized work environment. **What do you dislike about Anaconda Core?** The installation process takes up more time and requires more space on your system. The interface also appears quite outdated when compared to others, and at times, the software can be slow. **What problems is Anaconda Core solving and how is that benefiting you?** I use this tool for data analysis and building machine learning models in the field of education management. I work in this environment every day. ### 45. Anaconda AI Platform: Effortlessly Launch, Easy to Use **Rating:** 5.0/5.0 stars **Reviewed by:** DHANYATHA V P. **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I find the Anaconda AI Platform very helpful and easy to use. It simplifies tasks by avoiding the need to rely on the command prompt and resolves other intricate issues, which makes launching products effortlessly smooth. I appreciate its intuitive nature as it streamlines my workflow efficiently. The platform's capability to seamlessly integrate with Jupyter Notebooks enhances my productivity and allows for a more fluid work process, making it a vital tool in my daily tasks. **What do you dislike about Anaconda Core?** It is just that it takes a lot of little too long to launch **What problems is Anaconda Core solving and how is that benefiting you?** Anaconda AI Platform helps me launch products easily, eliminating the need to use the command prompt and tackling other issues effectively. ### 46. Effortlessly Converts Text to CSV, Highly Recommended **Rating:** 5.0/5.0 stars **Reviewed by:** Charl B. **Reviewed Date:** November 25, 2025 **What do you like best about Anaconda Core?** I find the Anaconda AI Platform incredibly easy to use, which is a significant advantage for both work and personal projects. The platform effectively handles tasks like text to CSV file conversion, which simplifies data manipulation processes for me. The initial setup was also straightforward, reflecting the platform’s user-friendly nature. Based on my experience, I am highly satisfied and would wholeheartedly recommend the Anaconda AI Platform to others, as evidenced by my willingness to rate my likelihood to recommend it a 10 out of 10. **What do you dislike about Anaconda Core?** None. **What problems is Anaconda Core solving and how is that benefiting you?** I use Anaconda AI Platform for easy text to CSV file conversion, simplifying data management. ### 47. Effortless Setup, Perfect for Machine Learning **Rating:** 5.0/5.0 stars **Reviewed by:** Chigozie U. | Independent Travel Agent **Reviewed Date:** December 09, 2025 **What do you like best about Anaconda Core?** I really appreciate how Anaconda AI Platform is very good at setting up the environments for you. Also, the UX is very nice, making it a pleasant experience to use. The initial setup was very easy, so much that if you just see someone do it, you could do it yourself. **What do you dislike about Anaconda Core?** I don't like it not connecting to my localhost.but I think that was a me problem **What problems is Anaconda Core solving and how is that benefiting you?** I use the Anaconda AI Platform to practice Python for machine learning, and it simplifies environment setup with a very nice UX. ### 48. Effortless Environment Management and Seamless Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** I like that the Anaconda AI Platform makes it easy to manage environments and dependencies, ensuring reproducible workflows. I also appreciate its smooth integration with popular data science tools, which speeds up experimentation. **What do you dislike about Anaconda Core?** I dislike that the Anaconda AI Platform can feel heavy and slow at times, especially when managing large environments. It also has occasional compatibility issues that require manual fixes. **What problems is Anaconda Core solving and how is that benefiting you?** It solves the challenge of managing complex Python environments and dependencies, making my workflows consistent and reproducible. This helps me focus more on experimentation and development instead of setup and maintenance. ### 49. A must-have tool for a engineering student **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Mechanical or Industrial Engineering | Small-Business (50 or fewer emp.) **Reviewed Date:** December 01, 2025 **What do you like best about Anaconda Core?** I really appreciate the Anaconda Navigator interface. It makes it extremely easy to launch applications like Jupyter Notebook and VS Code without using the command line. As a student it is perfect for managing libraries and environments visually. I have used it for all my engineering studies. **What do you dislike about Anaconda Core?** Sometimes the software can be a bit heavy and slow to start up. **What problems is Anaconda Core solving and how is that benefiting you?** It simplifies the management of Python packages and dependencies. It allows me to create isolated environments for different projects, avoiding conflicts between different versions of libraries. ### 50. Great platform having multiple applications **Rating:** 4.5/5.0 stars **Reviewed by:** Muhammad S. | Data Scientist Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** November 26, 2025 **What do you like best about Anaconda Core?** Anaconda provides a multi-software options such as Python/R environment for data scientists. It offers easy package management, many libraries (NumPy, Pandas, scikit-learn), Jupyter integration, etc. **What do you dislike about Anaconda Core?** It has some challenges such as large installation size, high memory usage, occasional package version conflicts, and slower updates for some libraries compared to direct pip installs. This may complicate lightweight or production deployments. **What problems is Anaconda Core solving and how is that benefiting you?** Tt helps to develop the ML/AI features by providing preinstalled ML/AI libraries (TensorFlow, PyTorch, scikit-learn). Tools like Jupyter enables reproducible workflows, easy experimentation, and efficient AI model development. ## Anaconda Core Discussions - [Is Anaconda free for companies?](https://www.g2.com/discussions/anaconda-is-anaconda-free-for-companies) - 2 comments, 1 upvote - [Is Anaconda free for companies?](https://www.g2.com/discussions/is-anaconda-free-for-companies) - 1 comment, 1 upvote - [Is Anaconda good for machine learning?](https://www.g2.com/discussions/anaconda-is-anaconda-good-for-machine-learning) - 1 comment, 1 upvote - [Which platform is better to do python coding ?](https://www.g2.com/discussions/which-platform-is-better-to-do-python-coding) - 1 comment, 1 upvote - [How to create the private environment in the anaconda?](https://www.g2.com/discussions/39307-how-to-create-the-private-environment-in-the-anaconda) - 1 comment, 1 upvote - [View Anaconda Core pricing details and edition comparison](https://www.g2.com/products/anaconda-core/reviews?filters%5Bnps_score%5D%5B%5D=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-13+11%3A33%3A30+-0500&secure%5Bsession_id%5D=72196f6f-07c7-4cff-aabc-841df92bf895&secure%5Btoken%5D=7480eafd1ca3e4c5c3b2adace10434d720a51718919bb0df4a4279f0a5325a00&format=llm_user) ## Anaconda Core Integrations - [AWS and Cloud Services](https://www.g2.com/products/aws-and-cloud-services/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [ChatGPT](https://www.g2.com/products/chatgpt/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Git](https://www.g2.com/products/git/reviews) - [Microsoft Azure Services](https://www.g2.com/products/microsoft-azure-services/reviews) - [PyCharm](https://www.g2.com/products/pycharm/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) ## Anaconda Core Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **System** - Data Ingestion & Wrangling - Real-Time Data **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training - Database Support - Multi-Language **Model Development** - Feature Engineering **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - Managed Service - Application - Scalability **Additional Functionality** - Customizable Reports - Collaboration Tools - Data Extraction - Semantic Search - Data Storage Management - Ad hoc Reporting - Reporting/Analytics - Predictive Analytics - Activity Dashboard - Access Controls/Permissions - Visual Analytics - Data Mapping - Data Synchronization - Statistical Analysis - Categorization/Grouping - Trend Analysis - Data Profiling - Linked Data Management - Data Visualization - API - Multiple Data Sources - Sentiment Analysis - Search/Filter - Data Import/Export - Data Capture and Transfer - AI Copilot - Monitoring - Data Connectors - Ad hoc Analysis - Text Mining - Reporting & Statistics - Predictive Modeling - Real-Time Analytics - Configurable Workflow - Tagging - Endpoint Management - No-Code - Data Preparation - Auditing - Big Data Analytics - ML Algorithm Library - Data Management - Activity Tracking - Data Security - Workflow Management **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image - Generative AI **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations ## Top Anaconda Core Alternatives - [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) - 4.3/5.0 (54 reviews) - [TensorFlow](https://www.g2.com/products/tensorflow/reviews) - 4.5/5.0 (135 reviews) - [Posit Team](https://www.g2.com/products/posit-team/reviews) - 4.5/5.0 (568 reviews)