# The Jupyter Notebook Reviews **Vendor:** Jupyter Open Source **Category:** [Python Integrated Development Environments (IDE)](https://www.g2.com/categories/python-integrated-development-environments-ide) **Average Rating:** 4.6/5.0 **Total Reviews:** 254 ## About The Jupyter Notebook Jupyter Notebook is an open-source, web-based interactive computing environment that enables users to create and share documents containing live code, equations, visualizations, and narrative text. It supports over 40 programming languages, including Python, R, Julia, and Scala, making it a versatile tool for data science, scientific computing, and machine learning. Key Features: - Interactive Computing: Allows real-time code execution and immediate feedback, facilitating an interactive development process. - Multi-Language Support: Supports numerous programming languages, enabling flexibility in project development. - Rich Text Integration: Incorporates Markdown for formatting text, creating headings, lists, and embedding links alongside code. - Data Visualization: Integrates seamlessly with libraries like Matplotlib and Seaborn to produce dynamic, inline visualizations. - Notebook Sharing: Enables easy sharing of notebooks via email, GitHub, or conversion to formats like HTML and PDF. - Extensible Architecture: Supports extensions and plugins, allowing for customization and additional functionality. - Kernel Flexibility: Allows switching between different programming languages within the same notebook. Primary Value and User Solutions: Jupyter Notebook streamlines the process of developing, documenting, and sharing computational workflows. Its interactive environment promotes reproducibility and transparency in research, making it an invaluable tool for data scientists, educators, and researchers. By combining code execution, rich text, and visualizations in a single document, it enhances collaboration and simplifies the communication of complex ideas. ## The Jupyter Notebook Pros & Cons **What users like:** - Users appreciate the **interactive data visualization** capabilities of Jupyter Notebook, enhancing analysis with various libraries like Matplotlib. (6 reviews) - Users love the **ease of use** of Jupyter Notebook, appreciating its intuitive interface and straightforward coding structure. (6 reviews) - Users find **Jupyter Notebook incredibly useful** for its simplicity, interactivity, and support for multiple programming languages. (5 reviews) - Users praise the **unmatched interactive prototyping** capabilities of Jupyter Notebook for enhancing data analysis workflows. (4 reviews) - Users appreciate the **unmatched interactive prototyping** and flexibility of Jupyter Notebook for efficient data analysis workflows. (4 reviews) - Code Editing (3 reviews) - Users appreciate the **easy data management capabilities** of Jupyter Notebook, enhancing their project organization and execution. (3 reviews) - Feature Variety (3 reviews) - Python Support (3 reviews) - Users appreciate the **user-friendly interface** of Jupyter Notebook, making data analysis easy and efficient. (2 reviews) **What users dislike:** - Users find the **complex setup** of Jupyter Notebook intimidating, requiring significant time to understand dependencies and environments. (2 reviews) - Users find **difficult management** in Jupyter Notebook, especially with setup, execution delays, and version control challenges. (2 reviews) - Users find the **file management cumbersome** , as it hinders productivity with large projects and multiple notebooks. (2 reviews) - Users experience **performance bottlenecks** with large datasets, leading to slow processing and potential crashes. (2 reviews) - Users find the **steep learning curve** of Jupyter Notebook daunting, requiring significant time for setup and understanding. (2 reviews) - Users find Jupyter Notebook has **limited features** , making it less efficient compared to other IDEs like VS Code. (2 reviews) - Poor Customer Support (2 reviews) - Users face challenges with **code errors** , struggling to understand complex messages and manage version control effectively. (1 reviews) - Users find **complex coding** in Jupyter Notebook challenging, especially with error messages and version control difficulties. (1 reviews) - Connection Issues (1 reviews) ## The Jupyter Notebook Reviews ### 1. Everything I Need for Data Science in One Place **Rating:** 5.0/5.0 stars **Reviewed by:** Furkan A. | Data scientist , Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** April 13, 2026 **What do you like best about The Jupyter Notebook?** The thing I like most about Jupyter Notebook is that it is very beginner-friendly and has a simple, easy-to-understand interface. As someone who is learning data science, I found it easy to get started without needing a lot of technical knowledge. The layout is clean and organized, which makes it comfortable to work with even for beginners. One of the biggest advantages is that I can perform multiple tasks in one place. I can write and run Python code, clean and analyze data, create visualizations, and document my work all within the same notebook. This eliminates the need to switch between different applications and tools, making my workflow much smoother and more efficient. I also like that I can see the output of my code immediately, which helps me learn faster and understand concepts more clearly. Whether I am experimenting with new ideas, practicing coding skills, working on assignments, or building data science projects, Jupyter Notebook makes the process easier and more organized. As a data science student, it has become one of my most useful tools because it helps me focus on learning, exploring data, and improving my skills rather than spending time managing multiple software programs. Overall, Jupyter Notebook provides a simple and effective environment for learning, experimenting, and developing data science projects. **What do you dislike about The Jupyter Notebook?** One thing I dislike about Jupyter Notebook is that it can become slow when working with very large datasets or running heavy computations. As the amount of data increases, the notebook may start lagging, take longer to execute code, or become less responsive. This can sometimes interrupt the workflow and make it harder to work efficiently on complex projects. There have been situations where I had to wait longer for code to run or restart the notebook to improve performance. While this is not a major issue for smaller projects and learning tasks, it can be noticeable when handling larger datasets or resource-intensive operations. Apart from this limitation, Jupyter Notebook works very well for most of my data analysis, visualization, and learning activities. Its ease of use, flexibility, and beginner-friendly interface make it a valuable tool for students and professionals alike. **What problems is The Jupyter Notebook solving and how is that benefiting you?** One of the biggest benefits of Jupyter Notebook is that it allows me to perform many different tasks in a single environment. I can clean and prepare data, perform data analysis, create visualizations, and even build and train machine learning models without needing to switch between multiple applications or tools. Having everything in one place makes the entire process much more convenient and efficient. This saves me a lot of time because I do not have to move data between different software programs or manage multiple workspaces. It also helps keep my projects organized since the code, outputs, charts, and notes are all stored together in one notebook. This makes it easier to track my work, review previous steps, and share projects with others. Another benefit is that Jupyter Notebook encourages experimentation and learning. I can run code in small sections, see the results immediately, and make changes whenever needed. This interactive approach helps me understand concepts more clearly and learn from my mistakes. As a data science student, Jupyter Notebook is especially valuable because it provides a practical environment for practicing skills, exploring datasets, and building projects. It helps me test ideas quickly, improve my understanding of data science concepts, and complete assignments and personal projects more efficiently. Overall, it makes learning and working on data science tasks much easier and more enjoyable. ### 2. Perfect for Prototyping and EDA, but a Headache for Version Control **Rating:** 5.0/5.0 stars **Reviewed by:** Lokesh S. | Senior Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** June 07, 2026 **What do you like best about The Jupyter Notebook?** Rapid prototyping, exploratory data analysis (EDA), and creation of fast machine learning models to check basic business assumptions before investing the time and resources needed to develop a full data pipeline.To summarise the above, Jupyter Notebook is nothing but my canvas to explore data sets and rapid prototype. It's awesome that it's cell-based and there's immediate feedback loop. It's really very useful to be able to write out a block of code, then run it, and immediately see the black and yellow graphic below that shows an intricate plot. It helps me keep a flow state in my mind while in the midst of cleaning up messy dataset or tuning hyperparameters for a machine learning model. Other types of support include markdown — because it allows me to write our thought process, assumptions, and initial findings along with the live code, and that's a lot more user-friendly when passing prototypes along to our data engineering team. **What do you dislike about The Jupyter Notebook?** This is a fantastic idea for solo work, but not so SoS in the ordinary software development process. Version control is by far the biggest pain. Taking advantage of the fact that notebooks are saved as huge JSON files with various parts of the output and metadata, change-tracking via Git just becomes pain in the ass. One of the least favorite tasks for me in Jupyter is resolving merge conflicts. In addition, it does not possess the solid syntactic support of a complete IDE such as PyCharm or VS Code—feats such as sophisticated linting, in-depth debugging or refactoring need jumping through hoops with extensions. This makes it easy to run cells out of order so as to add hidden states, and can cause the very common "it works on my machine" bug when another user tries to run the notebook in sequence. **What problems is The Jupyter Notebook solving and how is that benefiting you?** As a mid-sized team, we often have to jump quickly to the end of the problem solving sprint, refute business hypotheses and stay away from building full software projects.We, as a mid-sized team, have a need to validate business hypotheses in a timely fashion before investing our resources into building full software projects. Recently, our product team wanted to identify churn trends of a new feature that was introduced into our product. I did not have to create a big pipeline, but set up my Jupyter Notebook directly to our warehouse and created a quick random forest classifier. In one afternoon I was now able to see these main churn drivers through interactive visualizations. I got to present this notebook directly to stakeholders because it's so easy to lay out that it's easily read by a non-technical person. In doing so, it can save us days of overhead because we can test and prove a concept works first in the sandbox, and then write production ready code. ### 3. Jupyter Notebook Makes Experimentation and Learning Fast and Clear **Rating:** 5.0/5.0 stars **Reviewed by:** Anas Z. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** May 28, 2026 **What do you like best about The Jupyter Notebook?** What I like best about Jupyter Notebook is how it combines code, visualizations, and documentation in one place, making experimentation and learning very efficient. It allows quick testing of ideas, easy debugging, and clear presentation of results, which is especially useful for data science and machine learning projects. **What do you dislike about The Jupyter Notebook?** What I dislike about Jupyter Notebook is that notebooks can become difficult to manage and reproduce in larger projects, especially when cells are run out of order. This can lead to hidden state issues, messy workflows, and challenges when moving code into production environments. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter Notebook solves the problem of inefficient experimentation and fragmented workflows in programming and data analysis by combining code execution, visualization, and documentation in a single environment. This benefits me by allowing faster prototyping, easier debugging, clearer presentation of results, and more efficient development of machine learning and data science projects. ### 4. Seamlessly Combines Live Code, Narrative, and Interactive Visualizations **Rating:** 5.0/5.0 stars **Reviewed by:** Asma B. | Data Annotator, Small-Business (50 or fewer emp.) **Reviewed Date:** June 06, 2026 **What do you like best about The Jupyter Notebook?** What stands out most about Jupyter Notebook is how seamlessly it brings together live code, narrative text, and interactive visualizations in a single, shareable document. **What do you dislike about The Jupyter Notebook?** It’s notorious for encouraging poor software engineering habits, leading to messy state management and problematic version control. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter Notebook addresses the problem of disconnected coding and data analysis by bringing live code, equations, text, and visualizations together in a single interactive document. It helps users work through prototypes step by step, get immediate visual feedback as they iterate, and share reproducible research and workflows more seamlessly. ### 5. Interactive Cell-by-Cell Execution Makes Prototyping Fast and Easy **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Renewables & Environment | Small-Business (50 or fewer emp.) **Reviewed Date:** April 18, 2026 **What do you like best about The Jupyter Notebook?** It offers interactive, cell-by-cell execution, which is great for rapid prototyping and getting immediate feedback without having to re-run the entire script each time. **What do you dislike about The Jupyter Notebook?** It can create reproducibility and version-control issues. Because cells can be executed out of order, the kernel’s current state may not reflect the code’s intended linear flow. This often leads to situations where results can’t be reproduced, since variables may have been defined in cells that were later deleted, moved, or re-ordered. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter lets me run code in chunks, which makes it easy to work iteratively. I can load your data once and then try out different analysis techniques without having to reload the dataset each time. ### 6. Jupyter Notebook Review: The Gold Standard for Interactive Data Exploration **Rating:** 4.0/5.0 stars **Reviewed by:** Ajay M. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2025 **What do you like best about The Jupyter Notebook?** Pros: Unmatched Interactive Prototyping: Combines code execution, visualizations (Matplotlib/Plotly), and Markdown documentation in a single notebook. Ideal for iterative workflows like model tuning or data cleaning, where immediate feedback accelerates experimentation Language Flexibility: Supports 40+ languages (Python, R, Julia) via kernels, making it indispensable for cross-functional teams. Python integration is seamless, especially for libraries like Pandas and TensorFlow Zero-Cost & Open Source: Free accessibility lowers barriers for students and startups. Active community support ensures continuous updates (e.g., JupyterLab improvements) Educational Powerhouse: Step-by-step code execution and inline visualizations (e.g., heatmaps, graphs) simplify complex concepts—perfect for teaching statistics or sharing reproducible analyses Integration Ecosystem: Works natively with big-data tools (Apache Spark, Hadoop) and exports to PDF/HTML for reports. Integrates with VS Code for hybrid IDE workfllow **What do you dislike about The Jupyter Notebook?** Collaboration Challenges: Lacks real-time co-editing (unlike Google Colab). Merging changes from multiple users often causes version conflicts, requiring manual reconciliation Debugging Limitations: Weak error tracing in notebook cells complicates large-scale debugging. Users frequently switch to PyCharm/VSCode for complex projects Performance Bottlenecks: Struggles with memory-intensive operations (e.g., processing 10GB+ datasets). Kernel crashes force workarounds like batch processing Steep Learning Curve: Magic commands (%%time, !pip install), kernel management, and environment setup overwhelm beginners **What problems is The Jupyter Notebook solving and how is that benefiting you?** At GeoIQ, we use Jupyter for rapid influencer ROI analysis. We scrape social data, visualize engagement trends, and share notebooks with marketing teams—cutting report time by 65%. But we avoid it for pipeline deployment. ### 7. Jupyter Notebook: The Ultimate Tool for Interactive Data Science **Rating:** 4.0/5.0 stars **Reviewed by:** Priyanshu D. | Jr. Executive Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 12, 2025 **What do you like best about The Jupyter Notebook?** Being a Data Scientist and Proactively working in the field of Data Analysis, Jupyter have become a essential tool in my daily task, due to its easy-to-use structure, as we can write code in a very simple way ie in small chunks running them independently making the debugging and iteration easier.Coming to the Visualization part, It is very useful in creating interactive graphs and plots, thanks to diffrent libraries it support (ex- Matplot, plotly, seaborn). **What do you dislike about The Jupyter Notebook?** Handling large Dataset is bit slow and sometime involves server/browser crash. Not very well suited for large dataset. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Its helps me in EDA and Visualizaing My data in most efficient way possible. ### 8. Clean Interface That Enhances Productivity **Rating:** 5.0/5.0 stars **Reviewed by:** Gaurav G. | Application Developer II, Small-Business (50 or fewer emp.) **Reviewed Date:** December 19, 2025 **What do you like best about The Jupyter Notebook?** it has a clean interface and good for python use and machine learning work **What do you dislike about The Jupyter Notebook?** it does not have autocomplete feature of certain code snippet and sometimes does not give warning on wrong syntax **What problems is The Jupyter Notebook solving and how is that benefiting you?** it is helping me with the IDE of python, i can perform various machine learning tasks in it without any hassle ### 9. Excellent Editing Tools and Undo Feature **Rating:** 5.0/5.0 stars **Reviewed by:** Vijay S. | LLM Trainer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 02, 2025 **What do you like best about The Jupyter Notebook?** The tools for editing each cell and the undo feature **What do you dislike about The Jupyter Notebook?** Double-click to edit a cell. Sometimes it goes away while mistakenly clicked. **What problems is The Jupyter Notebook solving and how is that benefiting you?** We personally used it to resolve issues in our labeling conversation, and it is very useful in training models ### 10. Best tool for Python coding in parts/modules **Rating:** 5.0/5.0 stars **Reviewed by:** Shantanu R. | GDSC Core Team, Small-Business (50 or fewer emp.) **Reviewed Date:** December 26, 2024 **What do you like best about The Jupyter Notebook?** It has the most easy and understanable UI. A beginner would find easy to use all the tools, how to make paths for the files and to make projects. Also the code runs in cells making it easier to debug and to remove any error or issue in the program as soon as it gets detected. It provide the feature to decorate your texts in code like comments or a simple line by changing the size, boldness and font of the text. It supports various languages like Python, R, Ruby, etc which also makes it to have better cross language support in the program. Use of data visualisation modules like Matplotlip and Seaborn is quite efficient on this platform. I use this often to make my python projects and ML projects. **What do you dislike about The Jupyter Notebook?** Sometimes if the code is big and has too many cells, it takes too much time to execute. It runs on the browser of your choice but it aslo depends on the version of the browser thus it is very important to maintain the version of the browser updated. And it is difficult to make any version control changes like Git or to upload it to Github. **What problems is The Jupyter Notebook solving and how is that benefiting you?** As the code runs in seperate cells it solves the problem of real time data visualisation and representation on a map, bar graph, pie chart, etc. thus it is faster to view and make analysis of the information of a scattered data. This platform provides the ease of learning by giving free tutorials to the users and documentations. The UI is suitable for new users to make used to the platform. ### 11. Everything flows with The Jupyter Notebook, I transform data and visualize results **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) **Reviewed Date:** January 02, 2025 **What do you like best about The Jupyter Notebook?** I like the remarkable versatility with which I can run and test my code directly in the The Jupyter Notebook environment even when working with remote servers; The Jupyter Notebook not only has the ability to visualize and organize my scripts and output in a browser page, but also allows me to work in multiple formats such as Markdown or even SQL saving me time and reducing potential errors in the final analysis. **What do you dislike about The Jupyter Notebook?** You've to spend a few hours understanding how to set up virtual environments and resolve specific dependencies, so initially configuring and learning the tool can be somewhat intimidating. **What problems is The Jupyter Notebook solving and how is that benefiting you?** The Jupyter Notebook gives me the confidence to verify the correct execution of each block of code step by step ensuring that my conditions and algorithms work as I expect. The ability to visualize data in an agile manner has saved me a considerable amount of time in the process of preparing my reports. ### 12. Good for python coding **Rating:** 5.0/5.0 stars **Reviewed by:** Pawan Y. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 09, 2025 **What do you like best about The Jupyter Notebook?** It's features of given output of each cell **What do you dislike about The Jupyter Notebook?** Update version not show documents of each topic **What problems is The Jupyter Notebook solving and how is that benefiting you?** Helps in complete machine learning project ### 13. My First Choice For Data Science And Model Training **Rating:** 4.5/5.0 stars **Reviewed by:** Alok y. | Mysql Database Administrator, Small-Business (50 or fewer emp.) **Reviewed Date:** July 20, 2024 **What do you like best about The Jupyter Notebook?** Jupyter Notebook is an open source web based application that provide flexibility to users to create documents with markdown and heading live code and charts and data visualizations. I am using Jupyter Notebook for my data science projects such as data exploration data visualization data analysis and model training. user friendly application that makess it easy to import libraries **What do you dislike about The Jupyter Notebook?** Error message :- that is very difficult to understand errors by reading error message specially for the beginner the error message too complex to understand Limited customizing for layout and appearance . In Jupyter Notebook is difficult to track updates or changes and version control. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am using Jupyter Notebook for Data Exploration ,Data Analysis , Data preprocessing and model training ### 14. All time favourite product for Python tasks **Rating:** 5.0/5.0 stars **Reviewed by:** Sandeep K. | senior software engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 17, 2025 **What do you like best about The Jupyter Notebook?** Easy to implement Python code and machine learning models.it helps a lot for data visualizations. **What do you dislike about The Jupyter Notebook?** The GUI is outdated and lacks an integrated development environment; we need to return to the home page each time to manage files. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It helped us visualize the data and implement code for machine learning models. ### 15. My Jupyter Notebook Review **Rating:** 5.0/5.0 stars **Reviewed by:** Md K. | Cloud Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** August 12, 2024 **What do you like best about The Jupyter Notebook?** The best feature I like about it is that you can create documentation along with your codes which improves the readability of my work. **What do you dislike about The Jupyter Notebook?** It is slow when it comes to loading modules and does not provide as many features as other IDEs like VS Code, Spyder, etc. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter Notebook enhances my workflow with its ability to integrate code, equations, visualizations, and narrative text in a single document improves the process of my data analysis and data science projects. ### 16. features **Rating:** 4.0/5.0 stars **Reviewed by:** Rabbia K. | Business Development Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** April 17, 2024 **What do you like best about The Jupyter Notebook?** you can write your code in cells to make it more organized and easy to understand code. rather than commenting down you can write the highlited comment which can be the title of the specific cell to understand the code. **What do you dislike about The Jupyter Notebook?** debugging code is challenging with jupyter notebook other than that I dont face anything to be worth dislike as I am using it from past four years. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I have been using jupyter notebook since my university time projects (machine learning) but it help me alot in my data analysis projects now as data visualization, data preprocessing. it gives immediately results. ### 17. Best for Data Science **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 20, 2024 **What do you like best about The Jupyter Notebook?** The User Interface that allows flexibility of Data Analysis **What do you dislike about The Jupyter Notebook?** File loading issues of the file's size is too large **What problems is The Jupyter Notebook solving and how is that benefiting you?** It helps solving any complex problems which are data centric ### 18. Best IDE hands down **Rating:** 4.5/5.0 stars **Reviewed by:** Cyril N. O. O. | Credit Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 13, 2024 **What do you like best about The Jupyter Notebook?** Daily go to for python use. This online IDE requires no download of software and regular updates. Jupyter in my opinion is the best editor for data analysis. Easy to setup and use. **What do you dislike about The Jupyter Notebook?** Not easy to search through long lines of code to make edits. shortcuts take a bit of time to get used to. **What problems is The Jupyter Notebook solving and how is that benefiting you?** lightweight editor for python use. No software required. Easy to create files, convert jupyter scripts to pdf etc. ### 19. Using Jupyter Notebook for data analysis and model training, user friendly IDE **Rating:** 5.0/5.0 stars **Reviewed by:** Arun M. | Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** November 22, 2023 **What do you like best about The Jupyter Notebook?** Jupyter Notebook is the best Web based computation environment IDE for Python, jupyter notebook is a browser based application used for coding, and creating notebooks and documents. It has an effective tool and large library support for data analysis and data science and helps in the area of artificial intelligence **What do you dislike about The Jupyter Notebook?** Jupyter Notebook only supports Python not another programming language and error is not simple to understand it has some other facts that can consider whenever I get an error it is too large and not understandable must provide a simple and sort error 1 some time when the library updates are some functions are removed it should be mentioned to avoid error 2 Spell check and Missing auto-correct/format feature show suggestion is not available **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter Notebook has a very smooth coding capability to input/output cells that can contain code and text that helps to create a document which helps me a lot. In my daily work, I use jupyter notebook to run multiple tabs together ### 20. A tool for developers/Data analyst **Rating:** 5.0/5.0 stars **Reviewed by:** Sandeep J. | Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 04, 2023 **What do you like best about The Jupyter Notebook?** Intuitive Registering: Jupyter Note pad permits clients to perform intuitive processing in an online climate. It's an amazing instrument for information investigation, information perception, and iterative turn of events. Code, Message, and Media Reconciliation: Jupyter Journals support code cells as well as markdown cells for adding designed message, pictures, and sight and sound substance. This makes it simple to make a thorough story around the code and investigation. **What do you dislike about The Jupyter Notebook?** Code Reiteration: In enormous journals, there may be cases of code redundancy, prompting upkeep issues and making it harder to refactor the code. Absence of Local IDE Elements: While Jupyter Note pads give an online connection point, a few engineers might miss specific highlights regularly tracked down in coordinated improvement conditions (IDEs, for example, high level troubleshooting devices and strong code refactoring capacities. **What problems is The Jupyter Notebook solving and how is that benefiting you?** The piece design of Jupyter permits clients to associate with various computational conditions, working with far off execution on strong servers or cloud assets without leaving the note pad interface. ### 21. Using Jupyter Notebook to Analyst the Basic Linear Regression **Rating:** 4.0/5.0 stars **Reviewed by:** Wadi W. | Mentor Front-End Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 14, 2024 **What do you like best about The Jupyter Notebook?** Very fast processing, the advantage is that it is easy to use **What do you dislike about The Jupyter Notebook?** the disadvantage is that it can only be used on the installed device, inflexible **What problems is The Jupyter Notebook solving and how is that benefiting you?** completing the project I'm working on, jupyter helps me in analyzing data, machine learning etc. ### 22. A very user-friendly tool for data analysts! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** May 13, 2024 **What do you like best about The Jupyter Notebook?** Jupyter Notebook is my go-to web-based IDE for Python as it offers a browser-based platform for coding. It has extensive library suppor & is great for analysis work. It's also very user-friendly & is my go-to choice for Python coding. **What do you dislike about The Jupyter Notebook?** Spell-checks or error detection features, like we have in bigquery could be great. Nothing other than that. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It is the go-to IDE for our data analysis team. It's very user friendly & the UI is great as well. ### 23. "My coding experince with The Jupyter Notebook" **Rating:** 5.0/5.0 stars **Reviewed by:** Neeraj K. | Software Developer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 03, 2023 **What do you like best about The Jupyter Notebook?** I was new to coding 4 years ago and I spent almost 2 years at other coding platforms but I was not satisfied. because they do not fulfill my requirements to achieve the goal in the code. Then I came to know about The Jupyter Notebook, In The Jupyter Notebook we can run the code in one cell which is the best thing I really like. if you are working with Jupyter Notebook it's time efficient compiler for Python language. Jupyter Notebook may not require running the entire code and we can easily debug the code cell by cell. and you can easily work there with all Python libraries like Pandas, Numpy, Keras, TensorFlow, etc. if you are working with Python language I think Jupyter Notebook is the first for everyone. I am a data Analyst in my professional career. Now, I also working on Python Jupyter. **What do you dislike about The Jupyter Notebook?** I think that is the only problem I faced in Jupyter Notebook. when I worked on Machine learning and Deep learning projects I required heavy datasets for prediction. so I can't easily upload the dataset on Jupyter Notebook It's a time-consuming process. I think the Jupyter Notebook team will work on it in the upcoming time. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am a Data analyst and I work on the Jupyter Notebook Software for my projects. here I am developing projects of data science with the help of Python and its libraries, and I easily analyze, Visualize, and data preprocessing, etc the projects are done in a very short time. ### 24. I use Jupyter Notebook to create machine learning projects along with data science learning practice **Rating:** 5.0/5.0 stars **Reviewed by:** Muhammad I. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 14, 2024 **What do you like best about The Jupyter Notebook?** Jupyter notebooks enable real-time interaction with data and code. You can run cells one by one **What do you dislike about The Jupyter Notebook?** Managing and version-controlling code in Jupyter Notebooks can be challenging **What problems is The Jupyter Notebook solving and how is that benefiting you?** Solve problems creating machine learning and data science projects ### 25. Jupyter Notebook Review **Rating:** 3.5/5.0 stars **Reviewed by:** Kiran D. | Senior Application Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 21, 2024 **What do you like best about The Jupyter Notebook?** Ultra easy & user friendly to use, can be easily install on any platform, regularly updates are carried, easy installation of library can be done, easliy integrate with backend & other, wide community support is provided. **What do you dislike about The Jupyter Notebook?** framework like django may be vary difficult to work in. **What problems is The Jupyter Notebook solving and how is that benefiting you?** code debugging is at ultra high good level, you can simply sun code line by line. ### 26. Most convenient to write python code **Rating:** 4.5/5.0 stars **Reviewed by:** Kapil K. | Graduate Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 09, 2023 **What do you like best about The Jupyter Notebook?** Most helpful feature of jupyter notebook I liked is it maintains cell level execution, making it easier to run the code line by line or function by function. It's really heplful in machine learning as it maintains the cell level execution and it's easier for me to check the data while loading and while testing. And as it supports multiple languages that makes it easier for me access database using SQL. **What do you dislike about The Jupyter Notebook?** One thing I dislike about Jupyter Noteboook was while working with very large files as notebook's size become large. Also collaboration is not that good in Jupyter notebooks. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Whenever I run my pythonn code using other IDEs, it was hard for me check line by line output of my code when I started learning python. And jupyter notebook provided with me with that feature where I can run my code cell by cell. ### 27. best data analysis tool with python **Rating:** 4.0/5.0 stars **Reviewed by:** Ramel Offrey Eldesy M. | CTO, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** December 08, 2023 **What do you like best about The Jupyter Notebook?** Interactive: Allows code to be executed in blocks, facilitating debugging and progressive understanding. Integrated visualization, allowing graphics, images and other visual elements to be included directly in the document. **What do you dislike about The Jupyter Notebook?** Dependency on execution order: results depend on the order in which code cells are executed, which can lead to errors if not all cells are executed in the intended order. Difficulty handling large datasets: for large datasets, Jupyter may present limitations in terms of performance and memory management. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It solves a variety of problems related to interactive development, data analysis, visualization, teaching and documentation of IT projects. ### 28. Offline google colab **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** May 02, 2024 **What do you like best about The Jupyter Notebook?** It contains cells to type and execute our code which structure is very useful while working with data especially while working or coding for machine learning .Also the main advantage is that it can be used offline. **What do you dislike about The Jupyter Notebook?** There is nothing dislike about Jupyter notebook , since it is a offline tool hence it is little slow. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It is very well used for coding with machine learning and deep learning , it has more advantages because of its independent cells structure. ### 29. Brilliant Tool for Wring Codes! **Rating:** 5.0/5.0 stars **Reviewed by:** Akash N. | Enterprise (> 1000 emp.) **Reviewed Date:** September 23, 2023 **What do you like best about The Jupyter Notebook?** I find it simpler to experiment with various concepts and quickly refine my code, thanks to the live code execution and instant feedback it provides. Jupyter Notebook has undoubtedly become an indispensable tool in my programming toolkit. **What do you dislike about The Jupyter Notebook?** It tends to be slow sometimes, especially when working with large datasets or carrying out complex queries with large data sets, causing noticeable lag and hindering productivity.These occasional performance issues can be a drawback when using Jupyter Notebook for data-intensive or resource-intensive tasks. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter Notebook software offers a plethora of benefits that cater to a wide range of user needs.It's collaboration features support multiple users, facilitating teamwork and shared projects. Furthermore, Jupyter Notebook shines in its ability to display interactive visualizations, enhancing data presentation and analysis by enabling users to create engaging and dynamic graphical representations of their data. ### 30. Compatible Both Online And Offline Coding **Rating:** 3.5/5.0 stars **Reviewed by:** Manishwar T. | Associate Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 03, 2023 **What do you like best about The Jupyter Notebook?** The best thing about using The Jupyter Notebook is that it is compatible with both online and offline coding. Sharing the document that contain live coding makes it different from other softwares. It is mostly used for data science projects. **What do you dislike about The Jupyter Notebook?** They don't have the build in version control that's the only thing i dislike in it. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It solve the issue of sharing the solution with other team members which is very beneficial for team work. ### 31. Good for data science experimentation **Rating:** 4.5/5.0 stars **Reviewed by:** Kush R. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** March 12, 2024 **What do you like best about The Jupyter Notebook?** It allows me to experiment a ML model quickly **What do you dislike about The Jupyter Notebook?** Sometimes package issues come up, so I need to restart the runtime **What problems is The Jupyter Notebook solving and how is that benefiting you?** It creates a complete environment for ML development ### 32. Jupyter notebook is the web applications.in that we write code, equation,text. **Rating:** 5.0/5.0 stars **Reviewed by:** Prajakta A. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 29, 2023 **What do you like best about The Jupyter Notebook?** Jupyter notebook is the free web application.so for me it is the best application for the developer.in that we can write our code,we implemented lot of problems regarding our project and it is very helpful for me in my project.and it is open source application.so i recommended that go for this app, because for me it gives very good experience. **What do you dislike about The Jupyter Notebook?** I feel it is not too secure application.but for practicing and write basic code so it's good application. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I prefer jupyter notebook for writing the code because it is free of cost and simple to use . whatever I feel is jupyter notebook is very fast and in that we can use libraries also.in my project I can simply import liabraries in jupyter notebook. ### 33. Useful for coding in multiple languages **Rating:** 5.0/5.0 stars **Reviewed by:** Roshni K. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 04, 2023 **What do you like best about The Jupyter Notebook?** Its adaptability is one of the features I admire the most. I can work with several programming languages, such as Python, and other simultaneously. This saves me a tonne of time because I can flip between languages without switching to a different software programme. The interactive nature of The Jupyter Notebook is something else I like. I don't have to run a different software or write the code in a text editor and then execute it in a terminal to play with the code and see the results. This makes it much simpler to experiment with various concepts and quickly refine my code. **What do you dislike about The Jupyter Notebook?** I must admit that there are a few features of Jupyter Notebook that I occasionally find difficult as a developer ! The software has the potential to be pretty slow sometimes, especially when working with large datasets or carrying out complex calculations, which is something I do not appreciate as a developer. This can be annoying when I'm trying to get things done efficiently and swiftly. When I'm working on a project, my notebook may occasionally freeze or the kernel will crash, which is quite aggravating. I find that using it can occasionally be a little difficult. Even if there is a lot of interaction, it might be challenging to remember which cells I've ran and which ones I haven't, which sometimes can result in confusion or mistakes! **What problems is The Jupyter Notebook solving and how is that benefiting you?** The Jupyter Notebook resolves several issues that I go through on a regular basis as a developer. The ability to work with several programming languages at once is one of the main advantages. This saves a tonne of time because working with many languages does not need switching between tools or environments. The requirement for interactivity is another issue that The Jupyter Notebook addresses. I frequently have to write code with conventional programming tools in a text editor before running it in a different terminal window. This can be laborious and time-consuming, especially when I'm attempting to test out various concepts or collaborate on a project. The Jupyter Notebook is also excellent for handling data. It is the perfect tool for examining and analyzing data because it supports visualization libraries like matplotlib and seaborn and can present data frames in an intuitive manner. Whether I'm working on data science projects or attempting to make sense of complicated datasets, this is really helpful. ### 34. Useful for developers **Rating:** 3.5/5.0 stars **Reviewed by:** Samiksha K. | Coordinator, Small-Business (50 or fewer emp.) **Reviewed Date:** March 17, 2023 **What do you like best about The Jupyter Notebook?** I consider Jupyter Notebook's adaptability to be one of its strongest qualities as a student who uses it for projects. Jupyter Notebook enables me to effortlessly combine all of these tasks into a single project, whether I'm working on a data analysis, writing code, or producing visualisations. The capability to record my approach and advancement within the notebook itself is another fantastic feature. I can write explanations, include photos and links, and logically arrange my code using markdown cells. This not only makes it simple for me to share my work with others but also helps me keep track of my efforts. **What do you dislike about The Jupyter Notebook?** I must admit that there are a few features of Jupyter Notebook that I occasionally find difficult as a student ! The sporadic instability of Jupyter Notebook is one of my pet peeves. The kernel will occasionally crash without warning, which is disappointing when I've put a lot of time and work into a particular project. It's also possible that some libraries or packages won't function properly with Jupyter, which can lead to problems that are challenging to fix. The absence of effective version control is problem I've run upon. I can save different versions of my work in Jupyter Notebook, but it can be difficult to follow changes and work with others on the same notebook ! **What problems is The Jupyter Notebook solving and how is that benefiting you?** In my experience as a student, Jupyter Notebook offers numerous solutions that make it a helpful resource for my assignments and projects. It is a fantastic tool for data analysis and visualisation and gives me the ability to execute sophisticated computations and handle data in a way that would be tough with other tools because it supports a variety of computer languages, including Python and R. This ability has allowed me to study huge datasets and produce visualisations to better understand trends and patterns, which has been extremely helpful for my education in statistics and data science : ) ### 35. LG Ad Solutions **Rating:** 4.0/5.0 stars **Reviewed by:** Divyank M. | Manager, Product Analytics & Innovation, Mid-Market (51-1000 emp.) **Reviewed Date:** October 10, 2023 **What do you like best about The Jupyter Notebook?** It helps to query data and get insights. Especially when you need any data on a custom bases **What do you dislike about The Jupyter Notebook?** Nothing much, loving it. Using from 4 years **What problems is The Jupyter Notebook solving and how is that benefiting you?** Querying data for any standard or custom requirement to get results in quick turn around time ### 36. Jupyter Notebook: An Easy and Versatile Way to Work with Data. **Rating:** 3.5/5.0 stars **Reviewed by:** Alejandro G. | Diseñador TIC, Enterprise (> 1000 emp.) **Reviewed Date:** May 09, 2023 **What do you like best about The Jupyter Notebook?** As a beginner, I appreciate the interactive interface of Jupyter Notebook because I can share images, code, and text in one place. I have also found using multiple programming languages like Python very useful. **What do you dislike about The Jupyter Notebook?** However, I have noticed some compatibility issues with other tools, which can make it difficult to share information in some cases. The lack of version control also makes it challenging to keep track of changes made by different collaborators. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Testing and experimenting with different ideas in real-time allows for solving or managing programming strategies. The ability to work in a team, thanks to the possibility of several people working simultaneously, allows for achieving these solutions more efficiently. ### 37. Best For Local Server **Rating:** 4.5/5.0 stars **Reviewed by:** Kartik B. | Software Trainee, Mid-Market (51-1000 emp.) **Reviewed Date:** August 27, 2023 **What do you like best about The Jupyter Notebook?** It helps me to create recommendation system like movie recommendation system, speech recogination system and face recognation. It allows various python libraries Pygame, Matplot lib and Panda which allows me to create beautiful graphics. **What do you dislike about The Jupyter Notebook?** Nothing to dislike in this software except it takes more memory for processing. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It solves daily problems that i face in coding. ### 38. The Jupyter "fascinating" Notebook **Rating:** 4.5/5.0 stars **Reviewed by:** BHARATKUMAR K. | Assistant Administrator, Mid-Market (51-1000 emp.) **Reviewed Date:** March 25, 2023 **What do you like best about The Jupyter Notebook?** Jupyter Notebook enables us to create and run code interactively. This means you can execute code snippets and instantly see the results, which is useful when exploring data or experimenting with new ideas. Jupyter Notebook supports Python, R, Julia, and other computer languages. As a result, it is a highly flexible instrument for data processing, scientific computing, and machine learning. **What do you dislike about The Jupyter Notebook?** When used with revision control systems such as Git, Jupyter Notebooks can cause issues. Keeping track of changes, combining modifications, and settling disputes can be challenging. **What problems is The Jupyter Notebook solving and how is that benefiting you?** The notepad encourages reproducible research by making it simple for us to replicate code and tests and share their findings with others. The notebook facilitates iterative development and exploration by enabling users to directly change and execute code, examine data, and create real-time visualisations. ### 39. Good Companion for Data Science **Rating:** 5.0/5.0 stars **Reviewed by:** Subhiksha S. | student, Small-Business (50 or fewer emp.) **Reviewed Date:** June 02, 2023 **What do you like best about The Jupyter Notebook?** Using jupyter notebook, we can create notebooks and run our Python code. It is very useful for running machine learning, deep learning concepts, and data science. In jupyter notebook, we can switch over the environment by changing the kernel and easily installing python packages. **What do you dislike about The Jupyter Notebook?** When dealing with large amount of dataset , it is easily get crashed. While solving problem using machine learning, we often use large amount of dataset to train but it crashed in half way. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It is used for data analysing, training machine learning model. Even we can use it for neural network creation and training. It is also be used as python IDE and we can easily add headings to the code which makes it more readable. ### 40. Best tool for running code snippets **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** September 04, 2023 **What do you like best about The Jupyter Notebook?** Jupyter notebook is used to run small code snippets. We can tryout code and run on this instead of running whole application to test our code. Data can be visualised on it. Best suitable for data analysis and research applications. **What do you dislike about The Jupyter Notebook?** Jupyter notebook is slow sometimes. It may take some time to start up. As jupyter is an interactive tool it takes time for execution of code. Performance can be improved for large datasets. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Before developing application, jupyter notebook is used to write code logic. So there is no need to run application to test our logic. Good to practice programming. ### 41. Unleash Your Data Analysis Potential with Jupyter Notebook **Rating:** 4.5/5.0 stars **Reviewed by:** Niranjan2 S. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 16, 2023 **What do you like best about The Jupyter Notebook?** One of the best things about the Jupyter Notebook is its flexibility and versatility. It integrates code, text, and visualizations seamlessly, making it a powerful tool for data analysis, scientific computing, and machine learning. It has a lot of support, documentation, and extensions available to users. **What do you dislike about The Jupyter Notebook?** Tracking changes and collaborating using traditional version control tools like Git can be complicated because notebooks are stored as JSON files. When multiple users edit the same laptop, it can create conflicts that are difficult to resolve. Limited debugging capabilities, Memory usage and performance issues. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Enables users to interact with their code in real time, making it easy to explore data and experiment with different algorithms. Great tool for collaboration, as multiple users, can work on the same notebook simultaneously, and changes are saved in real-time. It creates and displays interactive visualizations, making exploring and communicating data insights easy. ### 42. My favorite IDE to work with data - Julia and Python. **Rating:** 4.5/5.0 stars **Reviewed by:** Eliza C. | Data Solutions Engineer III, Business Intelligence, Marketing and Advertising, Mid-Market (51-1000 emp.) **Reviewed Date:** September 05, 2022 **What do you like best about The Jupyter Notebook?** I absolutely love the features of Jupyter Notebook! Its user interface is much more visually appealing than other IDEs I have used and is easy to render on my browser. Plus, it is incredibly lightweight and makes it possible to execute code independently. The fact that Jupyter automatically saves the results of each section of the program is beneficial. If my code crashes, I can restart the kernel and jump right back into it. I am also a fan of the fact that it supports so many different languages! **What do you dislike about The Jupyter Notebook?** I think one of the worst features of Jupyter Notebook is the lack of a dedicated IDE. Furthermore, there is no timer or visual indicator of how much time is left for a section of code to execute, which are significant drawbacks that should be addressed. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I have been using Jupyter Notebook for my daily work, which has been an absolute pleasure. It has enabled me to easily track and debug errors in my production code, thanks to its ability to independently execute a particular code block, saving me a significant amount of time. I can also modify the code in real time by adding debug statements. Beyond that, Jupyter Notebook is an ideal IDE for working with large datasets and ML. Developing my Python/Julia projects in Jupyter has been very easy, and I cannot think of a better environment. ### 43. The amazing user friendly interface of Jupyter **Rating:** 5.0/5.0 stars **Reviewed by:** Divyaprakash P. | Office Admin, Small-Business (50 or fewer emp.) **Reviewed Date:** April 10, 2023 **What do you like best about The Jupyter Notebook?** Interactive Computing It providing an interactive computing environment where you can write and run code, visualise data, and share results in a collaborative and reproducible way **What do you dislike about The Jupyter Notebook?** When running code in Notebook, keeping track of the order in which cells are executed can be challenging. This can lead to unexpected results or errors, especially when working with complex code **What problems is The Jupyter Notebook solving and how is that benefiting you?** It is a collaborative environment where I can collaborate on a project, share results, and iterate on code. This makes it easier to collaborate on research projects, especially when team members are geographically dispersed ### 44. Best web - based interactive computing platform **Rating:** 5.0/5.0 stars **Reviewed by:** Saurav K. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 20, 2023 **What do you like best about The Jupyter Notebook?** The points that I really like about it:- 1. I can run any part of my code 2. Excellent visualization 3. Features that allow excellent documentation of my code **What do you dislike about The Jupyter Notebook?** The points that I dislike about the Jupyter Notebook are - 1. Really slow when it comes to training heavy models 2. Don't provide an external GPU, if someone has a bad device. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It provides live code, equations, visualizations,narrative text etc provide wide range of solutions for the problems which cannot be solved elsewhere, And also saving it in any format you like. ### 45. The cool n awesome Jupyter!!! **Rating:** 5.0/5.0 stars **Reviewed by:** Aishwarya J. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** March 02, 2023 **What do you like best about The Jupyter Notebook?** Easy to use python open source software. I love the user interface and its simplistic design. Helps me change kernels, has a faster processing time, and above all, it is my go-to software. **What do you dislike about The Jupyter Notebook?** While working with large chunks of data or large notebooks, I have noticed that the time taken is much larger than usual. This is something which can be improved. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter is language independent to works best. The documentation of code is better done in Jupyter notebook. Data visualization is a great tool when it comes to showcasing insights in visual form to non-technical stakeholders. ### 46. Fastest Interactive Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Manisha C. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 13, 2023 **What do you like best about The Jupyter Notebook?** - Create an interactive and user-friendly environment for data analysis and visualization. - Support multiple programming languages, including Python, R, and Julia. - Make it easy to share and collaborate with others. - Support markdown language for documentation. - Provide extensive community and resources for support and development. **What do you dislike about The Jupyter Notebook?** --> Can be slow for large and complex data sets. --> Can be challenging to deploy and scale for large-scale projects. --> Can be difficult to manage and version control large projects. **What problems is The Jupyter Notebook solving and how is that benefiting you?** 1) Most friendly software for testing. 2) Easy visualization. 3) Supports a wide range of workflows in data science. 4) Easy to use interface with many built-in features. ### 47. Great tool for learning Python and Data science **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** June 20, 2023 **What do you like best about The Jupyter Notebook?** 1. Its interactive cells are easy to add and remove cells. 2. Ease of collaborating with a team can share code and can add to git easily. 3. I like the way we can give headlines and other formattings, which usually other ides don't provide. 4. It supports lots of modules and libraries. 5. Very useful for data visualization. **What do you dislike about The Jupyter Notebook?** 1. less debugging capabilities compared to others. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I have started learning Python using this tool. Its beginner friendly, then I have used it for making different ML projects. I can conclude that it's best for data visualizations. You can see all the graphs that will help in visualizing your data. ### 48. Jupyter notebook **Rating:** 4.5/5.0 stars **Reviewed by:** Ashish K. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** November 03, 2022 **What do you like best about The Jupyter Notebook?** This is the really best software for developers who are working in the machine learning and AI because in this software you can write code then debug line by line so what will happen next you know. If you face the query you know which part this query occurred. **What do you dislike about The Jupyter Notebook?** Sometimes it's generate the errors in your code and then when you solve you can't find the solution in last it's the software error like this software is not find this.and you need to always update the libraries. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It's structure is not good like if you print the data but data is so large then it's provide small screen and you need to scrolling down. So you didn't recognise the first and middle data .and also whenever you visualise the data then if data are more then they print in complex way so user not see it. ### 49. I cannot imagine using any other code editor for Data Science and AI development. **Rating:** 4.5/5.0 stars **Reviewed by:** Elizabeth L. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** January 09, 2023 **What do you like best about The Jupyter Notebook?** I work in the data science and artificial intelligence development field (writing in Python). Jupyter Notebook is a free, web-based, interactive computing environment that primarily targets the Python programming language and its associated libraries, such as Matplotlib, Pandas, NumPy, and so on, and provides a straightforward interface for developers. Jupyter Notebook allows you to keep all of your code in one place and read it just as quickly as you would note in a text notebook. **What do you dislike about The Jupyter Notebook?** Writing long codes can also result in repeating the same sequences of code used to execute the program, so it's critical to perform quality checks before launching the program. Because Jupyter uses Python Kernels to find files on your system, opening files and data into the notebook can be intimidating for a beginner. However, a few commands entered into the Anaconda command prompt will resolve the problem. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I solved AI development and data visualization problems using NumPy, matplotlib, and other Python modules dedicated for massive datasets. The results of running the code snippet are displayed in a Jupyter Notebook. It's also advantageous that the codes can be run independently depending on the application. ### 50. Best Python kernel to use for Data Science **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** June 05, 2023 **What do you like best about The Jupyter Notebook?** The ease of use and the ability to markkdown cells making it an elaborate booklet rather than just some boring notebook. **What do you dislike about The Jupyter Notebook?** The need to restart the kernel time and again is the thing that bugs me **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am working in the role of a data scientist, the need to visualize data and work with different libraries along with the ability to mark everything down helps me a lot. ## The Jupyter Notebook Discussions - [Why is Jupyter notebook so popular?](https://www.g2.com/discussions/why-is-jupyter-notebook-so-popular) - 1 comment, 1 upvote - [What is the use of Jupyter notebooks?](https://www.g2.com/discussions/what-is-the-use-of-jupyter-notebooks) - 1 comment, 1 upvote - [Do you have any plans to keep allowing users to save jupyter notebooks without obligating them to use "cloud services"?](https://www.g2.com/discussions/do-you-have-any-plans-to-keep-allowing-users-to-save-jupyter-notebooks-without-obligating-them-to-use-cloud-services) - 1 comment, 1 upvote - [What is the best way to debug using Jupyter notebook?](https://www.g2.com/discussions/14324-what-is-the-best-way-to-debug-using-jupyter-notebook) - 1 comment, 1 upvote - [What is The Jupyter Notebook used for?](https://www.g2.com/discussions/what-is-the-jupyter-notebook-used-for) - 1 comment - [View The Jupyter Notebook pricing details and edition comparison](https://www.g2.com/products/the-jupyter-notebook/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-12+05%3A02%3A13+-0500&secure%5Bsession_id%5D=6ef97969-6614-4a12-a196-682c3220b676&secure%5Btoken%5D=3d62899d954336e52ad5d359f78a33ce66dfe5d2770a9e98f6f43c3f33c475e6&format=llm_user) ## The Jupyter Notebook Integrations - [GitHub](https://www.g2.com/products/github/reviews) - [Google Colab Copilot](https://www.g2.com/products/google-colab-copilot/reviews) - [PythonAnywhere](https://www.g2.com/products/pythonanywhere/reviews) - [Turing.com](https://www.g2.com/products/turing-com/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) ## The Jupyter Notebook Features **Functionality ** - Ease of Use - File Management - Multi-Language Support - Customization - Straight-Out-the-Box Functionality - Help Guides - Patching & Updates **Agentic AI - AWS Marketplace** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration ## Top The Jupyter Notebook Alternatives - [Eclipse](https://www.g2.com/products/eclipse/reviews) - 4.3/5.0 (3,088 reviews) - [PyCharm](https://www.g2.com/products/pycharm/reviews) - 4.6/5.0 (760 reviews) - [AWS Cloud9](https://www.g2.com/products/aws-cloud9/reviews) - 4.3/5.0 (337 reviews)