--- title: Deepnote Reviews meta_title: 'Deepnote Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 386 reviews by the users' company size, role or industry to find out how Deepnote works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 386 scale: '5' date_modified: '2026-08-04' parent_category: name: Integrated Development Environments (IDE) url: https://www.g2.com/categories/integrated-development-environments-ide --- # Deepnote Reviews **Vendor:** Deepnote **Category:** [Python Integrated Development Environments (IDE)](https://www.g2.com/categories/python-integrated-development-environments-ide) **Average Rating:** 4.5/5.0 **Total Reviews:** 386 ## About Deepnote Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications. You can also leverage our AI data copilot to chat with your data, create charts, write code, or turn your AI notebooks into fully-fledged data dashboards or apps. Combine data, SQL or Python code, and visualizations side-by-side on a flexible canvas - enhanced with cutting-edge AI reasoning models. šŸ¤– Analyze with AI ā€¢ Generate code and visualizations by describing your goal. ā€¢ Auto-write, run, and debug code with AI. ā€¢ Move faster with context-aware AI suggestions. šŸ”— Unify ā€¢ Connect to 60+ data sources like BigQuery, Snowflake, and PostgreSQL. ā€¢ Combine Python and SQL in one notebook. ā€¢ Build reusable ETL, analytics, and metric modules. ā€¢ Create a semantic layer with shared definitions and trusted metrics. āš–ļø Scale ā€¢ Instantly boost compute power, more included than Colab. ā€¢ Schedule jobs and get notified with fresh results. ā€¢ Organize work in projects and folders for team clarity. ā€¢ Manage workflows via REST API. šŸš€ Launch ā€¢ Turn notebooks into dashboards or data apps, natively or with Streamlit. ā€¢ Let users explore data with interactive inputs. ā€¢ Share secure, live apps in one click. ## Deepnote Pros & Cons **What users like:** - Users praise the **ease of use** of Deepnote, facilitating collaboration and simplifying data analysis tasks. (117 reviews) - Users appreciate the **seamless collaboration** capabilities of Deepnote, enhancing teamwork and project efficiency significantly. (93 reviews) - Users value the **real-time collaboration** in Deepnote, enhancing teamwork and efficiency in data analysis processes. (59 reviews) - Users appreciate the **easy integrations** in Deepnote, enabling seamless workflow and efficient data management. (53 reviews) - Users appreciate the **easy data management** in Deepnote, enabling seamless integration and collaborative analytics. (44 reviews) - Users value the **wide range of integrations** in Deepnote, facilitating seamless data access and enhancing project efficiency. (43 reviews) - Sharing Ease (40 reviews) - Features (39 reviews) - Time-Saving (39 reviews) - AI Integration (36 reviews) **What users dislike:** - Users notice **slow performance** with large datasets, affecting the application's responsiveness and analysis agility. (47 reviews) - Users find the **limited features** of Deepnote hinder its usability and comparability with other tools. (21 reviews) - Users report issues with **data management** , including slowness, kernel crashes, and unintuitive file navigation. (19 reviews) - Users experience **lagging performance** with Deepnote, particularly when handling large datasets or multiple requests. (18 reviews) - Users often experience **slow loading** times in Deepnote, especially with larger projects, impacting their efficiency and workflow. (17 reviews) - Users find **missing features** in Deepnote, such as lacking SQL queries and Git integration, hinder overall usability. (16 reviews) - AI Integration (15 reviews) - Expensive (15 reviews) - Users note a **lack of features** in Deepnote, particularly in project awareness and visualization tools. (15 reviews) - UX Improvement (15 reviews) ## Deepnote Reviews ### 1. Very useful and intuitive **Rating:** 5.0/5.0 stars **Reviewed by:** Andres M. | BI Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Deepnote?** The best part of using deepnote is to be able to combine different environments such as Python, SQL, files, etc. to be able to develop much faster. Also, the automation of tasks is very useful and allows you to keep track of errors very easily. I'm a hard user of Deepnote since I knew it. Also, the integrations are really useful and have everything I need. **What do you dislike about Deepnote?** The AI functions are useful, but need to be improved. Sometimes I don't feel confident with this. Also, I would like to have more options to automate processes like ETL that are long-time-running projects but could be executed very easily with such a tool. Also, plots could be limited and sometime I have to use python because plot feature is not enough. **What problems is Deepnote solving and how is that benefiting you?** Mainly connecting different data sources to be able to do transformations within SQL or Python. Likewise, also automating the updating of this data in other tools. ### 2. Powerful, reusable, and simple **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** I really appreciate the level of control Deepnote gives me when running analyses and creating internal user-facing data apps. It's easy to reuse code blocks, connect to external data sources, and spin up visualizations in a matter of minutes. I've been using some version of Python notebook tools for ~15 years and I find Deepnote to be quite intuitive for someone like myself. **What do you dislike about Deepnote?** The number one challenge I've had, and this is probably based on me being newer to Deepnote (having used Hex pretty extensively over the past 4 years), is project management. For example, created a notebook in the wrong project and I could not find a simple way to export that notebook from one project into another -- I ended up having to copy the whole project and delete everything I didn't need. In the same vein, not being able to have more than 1 live data app per project seems strange. For example, I build a notebook app and wanted to create a version for internal metrics that provides an overview of all clients, but then have a version that is per-client specific. Those need to live in different projects to be published. Perhaps it's just me not being as familiar with the project management aspect of Deepnote, but it felt like a bit of overhead that can be simplified with some UX work to improve the "speed to value" for users that create multiple data apps. **What problems is Deepnote solving and how is that benefiting you?** Gives us a separate environment to do evals on our AI tools (fine tuning comparisons, hallucination reviews of LLMs, etc). It's collaborative aspect gives a simple way to host results and share amongst our small team. ### 3. Versatile Tool Empowering Teams with AI and Multi-Source Connectivity **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** January 06, 2026 **What do you like best about Deepnote?** Versatility of the tool to write SQL and python code, as well as connecting to multiple data sources. The AI features also provides more autonomy for less tech/data savvy teammembers. **What do you dislike about Deepnote?** Lack of more options of tools/widgets/cells to explore data more freely. One example is the lack of a pivot table component. **What problems is Deepnote solving and how is that benefiting you?** Decentralize the Analytics role to the product and business teams, whilst demanding low support from tech teams. ### 4. Efficient collaboration with Deepnote, but potential for optimization in loading times **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Small-Business (50 or fewer emp.) **Reviewed Date:** October 14, 2025 **What do you like best about Deepnote?** Deepnote enables us to collaborate efficiently on data analyses for customer projects. The cloud-based environment is modern and clearly designed. Particularly helpful is the ability to share notebooks directly with colleagues and work on them together. The integration of various data sources works well and saves time on project work. **What do you dislike about Deepnote?** Occasionally, the loading times for larger datasets could be optimized. Some advanced features are only available in higher pricing tiers. The offline functionality is naturally limited, as it is a cloud solution. **What problems is Deepnote solving and how is that benefiting you?** Occasionally, the loading times could be optimized for larger datasets. Some advanced features are only available in higher pricing tiers. The offline functionality is naturally limited, as it is a cloud solution. ### 5. Very practical for team development **Rating:** 5.0/5.0 stars **Reviewed by:** Paul H. | Founder, Medical Practice, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** I love how I can create a shared environment with my teammate, and we don't have to worry about staying in sync. We have real-time visibility into what the other is doing and can set up duplicate notebooks and roll back changes easily. Jupyter is great on its own for code generation; it's that much more valuable in a shared environment. **What do you dislike about Deepnote?** The startup is very slow, as it loads all our dependencies. This wouldn't be such a big deal if the machine didn't shut down every 15 minutes. In theory, it's supposed to load the cache, but I haven't gotten that to work. I also could not get the integration with Google Drive to work. It was showing an error, so I ended up using an API instead. **What problems is Deepnote solving and how is that benefiting you?** It allows rapid prototyping and code development in a notebook environment. ### 6. Custom Docker Images Support Makes It Stand Out **Rating:** 4.5/5.0 stars **Reviewed by:** Ramon E. | CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 07, 2026 **What do you like best about Deepnote?** Allows custom docker images with custom kernels **What do you dislike about Deepnote?** charts UI is not very polished and customizable **What problems is Deepnote solving and how is that benefiting you?** Allows a shared environment for doing data science ### 7. Increased our productivity by 200% and recovery rate by 40% **Rating:** 5.0/5.0 stars **Reviewed by:** Christian R. | Head of Collections, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2025 **What do you like best about Deepnote?** It became the one stop shop source of all our strategies in Debt Collections. We are able to segment, create many ways to manage the accounts endorsed to us making it easy to load in our tools and ensure all details and data are captured well **What do you dislike about Deepnote?** Sometime server is down therefore need to restart entire laptop or wait for it to resume **What problems is Deepnote solving and how is that benefiting you?** Management of accounts - extracting data ensures 100% accuracy Made our strategies effective - we were able to create different data points so we can load accounts to our strategies Manual work - we were doing lots of manual work managing accounts and data which takes 4 hours daily. With deepnote, it reduces to 30 mins to extract and load in strategies ### 8. Seamless BigQuery Integration and App Dashboard **Rating:** 4.5/5.0 stars **Reviewed by:** Roldan D. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 09, 2026 **What do you like best about Deepnote?** Direct integration with BigQuery, very intuitive Python notebook and App functionality to share dashboards with the team. **What do you dislike about Deepnote?** Apps have to be rerun every time. It would be great if they kept past runs and / or could be scheduled (once a day for example). Some dashboards take 3+ minutes to load. **What problems is Deepnote solving and how is that benefiting you?** Developing cross platform business dashboards for my team. ### 9. Excellent for Statistical Analysis and Graph Generation **Rating:** 5.0/5.0 stars **Reviewed by:** Horacio SalomĆ³n B. | Professor, Small-Business (50 or fewer emp.) **Reviewed Date:** November 10, 2025 **What do you like best about Deepnote?** I appreciate that you can perform statistical analysis and generate the corresponding graphs. **What do you dislike about Deepnote?** I believe there should be more promotion, as it is still somewhat unknown. **What problems is Deepnote solving and how is that benefiting you?** The ability to conduct exploratory statistical analyses quickly, effectively, and reliably is one of the main advantages I highlight. ### 10. Love the overall vision, implementation and integration **Rating:** 4.5/5.0 stars **Reviewed by:** Daksh A. | Data Science Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** August 03, 2025 **What do you like best about Deepnote?** Multiple Notebooks is probably my favourite feature, helps keep the project modularised and accessible. Building data apps is cool too. And the wide data source integration. **What do you dislike about Deepnote?** Limited customisability for tables and graphs. Also, hard to securely embed into Notion. The ability to add custom branding would be great. **What problems is Deepnote solving and how is that benefiting you?** Collaboration and ease of production for data dashboards and apps. Earlier, it used to live on regular IDEs which had no customisability and creating a data app meant going through NextJS, or steamlit, both of which had immense learning curves and hard deployment. ### 11. Effortless, tidy, and perfect for deep dives into data. **Rating:** 5.0/5.0 stars **Reviewed by:** Laura B. | PhD researcher, Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2025 **What do you like best about Deepnote?** What I really appreciate about Deepnote is how easy it makes things. I can upload data, run analysis, and test ideas without faffing about. Itā€™s clean, responsive, and just does what I need it tom especially when Iā€™m using pandas and need to backtrack a few steps. Unlike Google Colab, Deepnote makes it really simple to roll back to earlier states of your notebook, which is a lifesaver when something goes sideways. Itā€™s become my go-to for lighter work when I donā€™t want to spin up a full environment. **What do you dislike about Deepnote?** I wouldnā€™t use it for deep learning or anything too heavy, for that, I stick with VS Code. But for focused analysis, testing ideas, or getting quick insights, itā€™s genuinely lovely to use. A few more customisation options would be a nice. **What problems is Deepnote solving and how is that benefiting you?** Itā€™s taken a lot of the faff out of my day-to-day analysis. I use Deepnote when I want to get stuck into data quickly without spending half an hour setting everything up. Itā€™s especially helpful when Iā€™m working with pandas, if something goes a bit pear-shaped, I can just roll back and try again, which makes experimenting much less stressful. It keeps my workflow tidy and saves me time, which is honestly a breath of fresh air when you're deep in the middle of a research project. ### 12. Fantastic **Rating:** 5.0/5.0 stars **Reviewed by:** Talal A. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 27, 2025 **What do you like best about Deepnote?** * Real-time collaboration: I love that my whole team can edit the same notebook together, see each otherā€™s cursors live, and chat right in the interface. * Cloud-based environment: No setup hasslesā€”everything runs in the cloud, so I donā€™t have to worry about local Python installs or dependency conflicts. **What do you dislike about Deepnote?** Occasional slow load times: Notebooks can take a while to start up, especially if the project has many dependencies. **What problems is Deepnote solving and how is that benefiting you?** * With Python, SQL, and R all in the same workspace, our data science team doesnā€™t have to switch platforms depending on the task. That consistency boosts our productivity. * Spinning up a powerful GPU instance for model training right from the UI means Iā€™m not stuck with my local laptopā€™s specsā€”and I only pay for what I use. ### 13. Best notebook with AI **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Banking | Mid-Market (51-1000 emp.) **Reviewed Date:** August 11, 2025 **What do you like best about Deepnote?** I have really enjoyed the experience of using the AI from Deepnote. I used to use Hex before, and your AI is sensational. Another point is the lightweight interface; a problem I had was that when creating many cells (over 50), Hex would slow down, and with you, this hasn't happened. **What do you dislike about Deepnote?** So far the only constructive criticism I have is that the UI could be prettier, maybe the color palette or the design of the boxes. **What problems is Deepnote solving and how is that benefiting you?** I am a data engineer, so I model quite a lot in dbt. However, I often need to analyze the results of my models or explore a dataset, and deepnote helps me a lot with this because I can connect directly to Redshift and to my models to investigate further. ### 14. Highly recommend for college students **Rating:** 5.0/5.0 stars **Reviewed by:** Emily V. | Student of Data Science, Small-Business (50 or fewer emp.) **Reviewed Date:** April 05, 2025 **What do you like best about Deepnote?** I'm a student and had been using Google Colab for two semesters. I was recommended Deepnote by a data science professor after repeated issues. I wish I had found it sooner, I love the table of contents directory, file importing, and smoother coding experience. I picked it up halfway through an assignment with 0 issues, it was very easy to implement. The ease of importing and exporting a file goes a really long way when you're taking a timed coding exam, I will use it regularly going forward. **What do you dislike about Deepnote?** I found that if I was in a browser session for a longer time period it would eventually lag. This very minor issue was fixed by reopening the notebook after a few hours. **What problems is Deepnote solving and how is that benefiting you?** Deepnote provides a reliable and easy-to-use environment that is perfect for doing assignments and taking coding exams. Other platforms have had system wide issues that disrupt my school work at unpredictable times, that is not an issue with Deepnote. ### 15. Very Nice Product **Rating:** 4.0/5.0 stars **Reviewed by:** Sandeep K. | Product manager, Enterprise (> 1000 emp.) **Reviewed Date:** May 21, 2025 **What do you like best about Deepnote?** Easy to use funcationality of deepnote took my heart. **What do you dislike about Deepnote?** nothing as such. but there is always scope of improvement **What problems is Deepnote solving and how is that benefiting you?** Deepnote is solving several key problems related to collaborative data science, reproducibility, and workflow efficiency. Hereā€™s a breakdown of the problems it addresses and how that benefits users: Problems Deepnote Solves Lack of Real-Time Collaboration in Notebooks Traditional Jupyter notebooks donā€™t support true real-time multi-user collaboration (like Google Docs). Deepnote allows multiple users to edit, comment, and interact with the same notebook simultaneously. Difficulty Managing Environments and Dependencies Setting up and maintaining Python environments and dependencies is often a pain, especially for new users or across teams. Deepnote provides pre-configured environments and makes it easy to install packages without Docker or local setup headaches. ### 16. Great Tool; UX can improve **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** August 07, 2025 **What do you like best about Deepnote?** Great tool for data visualization and creating dashboard **What do you dislike about Deepnote?** UI is a bit finnicky; hard to lock onto a single point in a graph. **What problems is Deepnote solving and how is that benefiting you?** Helping our Analysts create dashboards for specific features so we can track feature health. ### 17. Experiment with Confidence: Deepnote for Python & ML Newcomers **Rating:** 5.0/5.0 stars **Reviewed by:** Thamal W. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 25, 2025 **What do you like best about Deepnote?** There are several features that caught my interest in Deepnote. In brief: - Easy environment setup - User-friendly interface - Machine type selection for workloads - Customizable integration setup for popular database systems - AI-integrated platform - Collaborate with teams and plugins - Schedule task management **What do you dislike about Deepnote?** Iā€™ve noticed that there arenā€™t any features in Deepnote that people dislike, which is awesome! I do have a friendly suggestion, though: how about giving free users a limited-time trial of the full features? I think it would help them see all the great things the platform can do! šŸ˜Š **What problems is Deepnote solving and how is that benefiting you?** Data Analytics Data Cleaning Model Training ### 18. Effective tool to visualise performance metrics **Rating:** 4.5/5.0 stars **Reviewed by:** Faizan K. | QA Manager, E-Learning, Small-Business (50 or fewer emp.) **Reviewed Date:** August 12, 2025 **What do you like best about Deepnote?** Very collaborative framework where multiple people can work on the same notebook Interactive and intutive UI Simple Data connector integrations for major databases **What do you dislike about Deepnote?** Handling large data sets can result in slower processing of data The free tier plan has few resources and collaboration limits that can be restrictive **What problems is Deepnote solving and how is that benefiting you?** KPI analysis of the Business metrics of our Latest Release patches is very easy and convenient. Visualisation of the data becomes quite easy using deepnote for our KPI analysis. ### 19. coding with students **Rating:** 5.0/5.0 stars **Reviewed by:** Shi Y. | teacher, Small-Business (50 or fewer emp.) **Reviewed Date:** November 23, 2025 **What do you like best about Deepnote?** online coding and collaboration with colleagues without environment deployment. **What do you dislike about Deepnote?** The limitation on AI application for educational account. **What problems is Deepnote solving and how is that benefiting you?** I use deepnote for analysing data with my students. ### 20. Love that I can rapidly pull data from different sources and build visualizations. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Enterprise (> 1000 emp.) **Reviewed Date:** August 11, 2025 **What do you like best about Deepnote?** The workflow of integrating SQL and python is what I need for my data queries. I'm an embedded programmer and need to monitor the performance of various features across the devices in the field and this often involves pulling data from various data sources and then combining and correlating them. Doing this in a notebook that integrates with our data sources has enabled us to get ahead of issues and rapidly build dashboards for things that interest my team the most. **What do you dislike about Deepnote?** Sometimes my SQL queries have common element (like CTE) that I use in a few different data projects. It would be nice to have some ability to have common code. Another thing is being able to run a specific SQL query in a loop with slightly different parameters and build up a list of tables. **What problems is Deepnote solving and how is that benefiting you?** Our devices push data to various tables in our data lake. In addition we have data pipelines that further create processed data. Being able to run multiple queries in and pull all that data to manipulate in Python is my primary usecase. ### 21. Big fan of the usability and features. Small number of bugs that I would like to see fixed **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** May 26, 2025 **What do you like best about Deepnote?** I like Deepnote because it's a lot simpler to use than other notebooks I've tried. It integrates really easily with tools like Redshift and S3, which makes connecting to data super straightforward. The AI assistant is surprisingly good at fixing errors in my code, which saves me time when something breaks. I also find it really useful that I can search our data warehouse directly for fields or tables - it makes digging into data way faster. One of my favourite features is being able to search for code snippets. This is especially handy when Iā€™m not sure which script is publishing a data source Iā€™m using in Tableau. Instead of guessing and opening a bunch of files, I can just search and find the right one quickly. Customer support tends to be quick to repsond based one my one interaction with them. **What do you dislike about Deepnote?** Sometimes scripts fail when Iā€™m copying data to Redshift - could be a Redshift issue, but itā€™s still frustrating when it happens. Iā€™ve also noticed that if Iā€™m working on a script for a few hours, Deepnote can get really slow. Restarting doesnā€™t seem to fix it, so I usually just have to wait until the next day to carry on. Another small issue is how the script jumps around when I first open it and try to scroll quickly - it makes it hard to get where I want to go without it lagging or skipping. **What problems is Deepnote solving and how is that benefiting you?** It allows me to create scripts which extract, clean and transform my data from our data warehouse in redshift to turn it into a useable data source to be used in Tableau for our end users. I also find it useful for searching our data sources quickly, or perform quick EDA to better understand the data. This would not be possible without using a notebook, and Deepnote makes the process much easier. AI Chat has been useful to document my scripts. ### 22. Good plataform for business people to code independently **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** August 06, 2025 **What do you like best about Deepnote?** - Good plataform for business people to code as you can leverage their AI solution and it makes easier to code when you are not a dev - You can code both on SQL and Python **What do you dislike about Deepnote?** - The interface could be better and faster, as other similar platforms are more user friendly and more optimized - The AI is good but not great, often is better to use my own paid ChatGPT - as they offer only the 4o in their platform and is not always the best one to use for coding **What problems is Deepnote solving and how is that benefiting you?** I work on a strategy role for a fintech and not an dev or coding expert, so deep note helps me to best analyse our data without needing to be so proficient on coding. Some non exhaustive examples of what I have done: - Competition view in our customer base - Create variables to descriminate deliquency - Map of our customer base profile ### 23. Nice idea, but to many bugs and missing features **Rating:** 2.0/5.0 stars **Reviewed by:** Christoph E. | Senior Software Engineer, Internet, Small-Business (50 or fewer emp.) **Reviewed Date:** May 26, 2025 **What do you like best about Deepnote?** Concept and Idea: The overall concept of ReView is appealing and innovative. It attempts to address key pain points in notebook and task management. User Interface: Initially, the UI appears intuitive, visually appealing, and user-friendly, creating a positive first impression. **What do you dislike about Deepnote?** Lack of Professional-Grade Features: Over prolonged usage, it's evident that ReView isn't fully tailored for professional environments, particularly IT professionals and engineering teams. GPU Utilization Visibility: There's no capability to monitor GPU usage for notebooks running on specialized GPU instances, which is critical for machine learning tasks. Versioning Issues: Proper version control mechanisms are insufficient, posing difficulties in maintaining and managing notebook iterations effectively. Authentication Problems: OpenID Connect authentication for AWS integration doesn't function, significantly hindering cloud-based workflows. Instability of Task Execution Order: Tasks don't consistently execute in the intended order, forcing repetitive executions of notebooks. This is particularly detrimental for iterative machine learning processes. **What problems is Deepnote solving and how is that benefiting you?** Training ML Models ### 24. Great Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Luciano M. | Head of Customer Success, Mid-Market (51-1000 emp.) **Reviewed Date:** January 07, 2026 **What do you like best about Deepnote?** Versatility to create different types of reports **What do you dislike about Deepnote?** Sometimes it is a bit slower to load some reports, but understandable considering the amount of data involved. **What problems is Deepnote solving and how is that benefiting you?** It helps us create reports with data from different sources. ### 25. The Modern, Collaborative Notebook I Didn't Know I Needed! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Deepnote?** The UI is hands down one of Deepnote's strongest selling points. It's incredibly clean, modern, and intuitive. Navigating through projects, organizing notebooks, and even just the act of coding feels so much smoother and more aesthetically pleasing than traditional Jupyter setups or other web-based alternatives. It genuinely makes the development process more enjoyable. **What do you dislike about Deepnote?** Honestly, it's challenging to find significant downsides. If I had to nitpick, perhaps for users coming from very customized local Jupyter setups with many obscure extensions, there might be a slight learning curve or a feature or two they miss initially. **What problems is Deepnote solving and how is that benefiting you?** Deepnote is solving several key problems for us: Collaboration Bottlenecks: Previously, sharing notebooks meant sending files back and forth, dealing with version conflicts, and struggling to merge changes. Deepnote's real-time collaboration eliminates this entirely, allowing for seamless teamwork and faster iteration. Environment & Dependency Hell: Setting up consistent Python environments across a team can be a nightmare. Deepnote handles this beautifully, ensuring everyone is on the same page with libraries and configurations. Clunky & Outdated Interfaces: Many notebook tools feel dated. Deepnote provides a modern, enjoyable workspace that boosts productivity simply by being pleasant to use. Accessibility & Sharing: Being cloud-based, it's easy to access our work from anywhere and share interactive notebooks or even apps with stakeholders who may not be technical. ### 26. Deepnote is among the best data science notebooks **Rating:** 4.5/5.0 stars **Reviewed by:** Max H. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Deepnote?** Deepnotes strengths include it's AI CoPilot which has an uncanny ability to read my mind. Sometimes I just type a single character and it correct predicts that I want to rename a field, etc. Additionally, the integrations with data sources like SQL make it fast and easy to pull external data into my projects. The file area is also well done -- allowing me to upload, move, create folders, and rename files -- I've used other notebooks which were lacking in this area. **What do you dislike about Deepnote?** Othernote books like Hex.tech excel with Dashboards and reporting. But this seems to be an area where Deepnote is working to close the gap **What problems is Deepnote solving and how is that benefiting you?** Deepnote makes it much easier to work with data from different sources, especially PostgreSQL and CSV files. I use it mainly for running SQL queries, importing datasets, creating charts, and doing exploratory data analysis. The interface is intuitive, and I like that everythingā€”from code to visualizationsā€”lives in one place. One of the biggest benefits is how easy it is to share insights with my team. I can just send a link, and they see the full notebook with all the context, charts, and outputsā€”no need to export static reports or explain things over email. It saves time and keeps everyone on the same page. ### 27. DeepNote makes writing code very easy and has a lot of very cool bult-in tools **Rating:** 5.0/5.0 stars **Reviewed by:** Giulia C. | Data analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 23, 2025 **What do you like best about Deepnote?** I really like how tables are displayed, the fact that you can select and order rows directly on the table. The AI tool to fix bugs is very useful as well. **What do you dislike about Deepnote?** The autocomplete sometimes is quite annoying. **What problems is Deepnote solving and how is that benefiting you?** I use it in place of writing code on a local notebook. It's extremely useful that you can share code with other people through the same platform. The built-in tools make debugging very easy. And finally I love the integrations, we can access our cloud, google excel and so on and it's very easy to set up and makes it safer than using a local notebook as there is no copy/pasting of credentials. ### 28. Easy Access to Data, Smooth Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** January 16, 2026 **What do you like best about Deepnote?** Easy access to datas. Work very well for my purposes. **What do you dislike about Deepnote?** None. Deepnote is good for everything that i use for. **What problems is Deepnote solving and how is that benefiting you?** Easy access to client data ### 29. User-Friendly Notebooks easy conversion from SQL to dataframes **Rating:** 4.5/5.0 stars **Reviewed by:** Arthur F. | Data Engineer for Apps Growth company, Small-Business (50 or fewer emp.) **Reviewed Date:** October 27, 2025 **What do you like best about Deepnote?** Easy to use notebooks, ai assistant and easy SQL to dataframes conversion **What do you dislike about Deepnote?** The built-in charts cells needs some improvements **What problems is Deepnote solving and how is that benefiting you?** Data exploring and machine learning code ### 30. That data analysis of ours is top-notch **Rating:** 4.5/5.0 stars **Reviewed by:** Ayoub B. | Data Scientist, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** February 11, 2025 **What do you like best about Deepnote?** Our data mining and analytics process is made easier because integration with PostgreSQL and Google BigQuery is ultra simple. No complicated configurations are required thanks to their simple integrations. Weā€™ve been able to use Deepnote to build notebooks where we import all the data directly from Google BigQuery, make interactive visualizations and import the data. My team was able to review the data and provided me with immediate feedback after sharing the notebook with them. **What do you dislike about Deepnote?** It has come to my attention that performance could drop when dealing with really huge data sets, which impacts the agility of analysis. **What problems is Deepnote solving and how is that benefiting you?** To facilitate better teamwork in data analysis projects, we implemented Deepnote. In the event that we needed to find trends in consumer behaviour by analysing large amounts of data. We can run complicated analyses, see the results in real time and link directly to our database through Deepnote. Faster decision making and more complete project completion was possible thanks to the links that can be shared, which allowed us to immediately share our results with all parties involved. ### 31. Makes self-service for our company crazy simple **Rating:** 5.0/5.0 stars **Reviewed by:** Joy Y. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2025 **What do you like best about Deepnote?** I love being able to build a query, parameterize it, and sharing it with end users who are able to go in and input their desired date ranges and param values and export that to wherever they like. It was also super handy to not have to over-engineer one of our processes to push daily pageview events to a third party vendor's endpoint to track our customer usage - it was as simple as writing a query to pull PVs, having a python block to make a POST to the endpoint, and scheduling the notebook on a recurring basis. **What do you dislike about Deepnote?** Honestly not much, the only thing I can think of is that I have to constantly authenticate MFA with the Snowflake integration, but that's mostly on us because we have other options to connect. **What problems is Deepnote solving and how is that benefiting you?** It alleviates a lot of my time to have to pull numbers for stakeholders where they can now go in themselves and run the notebooks to pull the data. It also makes it easy for us to have a reverse-ETL option of sorts where we need to push data to an API endpoint daily. ### 32. Excellent cloud notebook environment for analytics and data science **Rating:** 5.0/5.0 stars **Reviewed by:** Robert R. | Chief Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** February 09, 2025 **What do you like best about Deepnote?** It's very easy to get started with Deepnote, and the environment is very comfortable if you like notebooks. In many ways it reminds me of JupyterLab but with a modern and enterprise feel. You can have multiple notebooks per project (something competitors don't allow) and it is extremely easy to deploy a dashboard or report with a few clicks. The AI features are very handy and speed up the low value work of typing syntax correctly. **What do you dislike about Deepnote?** Data apps could be improved somewhat. It's hard to pinpoint but there are some improvements to be made on the responsiveness of the apps and the overall look. **What problems is Deepnote solving and how is that benefiting you?** I need to have a single platform to hold and share my analyses. In addition it needs to have my data connectors and a good system for organization and sharing. Deepnote checks all these boxes. ### 33. Deepnote is a really cool instrument. **Rating:** 5.0/5.0 stars **Reviewed by:** Š†Ń€ŠøŠ½Š° ŠŠ½Ń‚Š¾Š½Ń–Š½Ń–Š²Š½Š° . | University Teacher, Docent, Enterprise (> 1000 emp.) **Reviewed Date:** September 04, 2025 **What do you like best about Deepnote?** AI works in tandem with the code execution environment. **What do you dislike about Deepnote?** There is no such thing - I like it very much. **What problems is Deepnote solving and how is that benefiting you?** I am doing number experiment now. I will recommend DeepNote to my students too (for laboratory works). ### 34. Makes complex programming simple for large teams **Rating:** 5.0/5.0 stars **Reviewed by:** John M. | Technical Director, Small-Business (50 or fewer emp.) **Reviewed Date:** February 14, 2025 **What do you like best about Deepnote?** I love that my team doesn't need to be a python expert in order to take advantage of the benefits of programming efficiencies and insights. My data science team does all of the magic of building the tools, and Deepnote allows my analysts to just point and click to get the insights they need. Could not be easier to use. **What do you dislike about Deepnote?** You do need to understand how to use python and variables in order to get Deepnote setup, but for most programmers the learning curve is small. **What problems is Deepnote solving and how is that benefiting you?** Deepnote helps us run our client's data against machine learning models to gleen insights that would normally take hours to find. It helps non-python experts be able to become more efficient in their roles and empowers them to come up with new ideas for data analysis. ### 35. A Collaborative Data Science Platform That Enhances Real Estate Data Management **Rating:** 4.5/5.0 stars **Reviewed by:** louis s. | Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** May 30, 2025 **What do you like best about Deepnote?** Deepnoteā€™s seamless collaboration allows teams to work together in real time, improving data analysis speed. The platform offers strong version control, ensuring data integrity and reliability. Interactive visualizations make it easy to display complex real estate data in a user-friendly way. **What do you dislike about Deepnote?** Some advanced features may require additional learning, especially for users new to data science tools. Limited offline functionality might be a challenge in areas with unstable internet connections. **What problems is Deepnote solving and how is that benefiting you?** In my real estate company, I use Deepnote primarily for managing and analyzing large datasets, ensuring data accuracy, and creating visualizations that are shared with clients and stakeholders. It has become an essential tool for improving our internal workflows and delivering valuable insights to users. ### 36. Simple to use, powerful and collaborative **Rating:** 5.0/5.0 stars **Reviewed by:** Perceval P. | Energy data analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Deepnote?** I was looking for a notebook that can be easily shared, without the hassle of installing and configuring Jupyter or other tools, and Deepnote provides just that (and quite a lot more). It's easy to use, simple, powerful, and, importantly, makes teamwork coding easy. **What do you dislike about Deepnote?** Some features, like exporting to Gsheet, could be made available in a more automated way (but I understand several new functionalities are currently being developed). **What problems is Deepnote solving and how is that benefiting you?** Deepnote is making the sharing and collaborative work on python notebooks simple! ### 37. Incredibly useful tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** A quick and easy way to filter and review data. Iā€™ve been using Deepnote daily for the past couple of weeks, adjusting parameters as needed to extract the most relevant datasets for my work. **What do you dislike about Deepnote?** Nothing I can think about at the moment. **What problems is Deepnote solving and how is that benefiting you?** Iā€™ve used Deepnote a few times now, primarily for filtering and reviewing datasets, and itā€™s been a huge time-saver. Even without going deep into complex coding, Iā€™ve found it really intuitive to use, especially when trying to quickly understand which data is usable for my goals and which isnā€™t. Itā€™s made data review feel a lot less overwhelming and much more efficient. I havenā€™t explored all its features yet, but for what I need, itā€™s been incredibly helpful. ### 38. Efficient analysis tool **Rating:** 4.5/5.0 stars **Reviewed by:** Roxane W. | Cheffe de projet webmarketing, Small-Business (50 or fewer emp.) **Reviewed Date:** May 26, 2025 **What do you like best about Deepnote?** The ability to export analyses from the app mode: once they are edited, you just have to press a button to launch them and retrieve the information you want. When you have no knowledge of coding, it's ideal. **What do you dislike about Deepnote?** To my knowledge, no drawbacks, I use it to extract data, our data analyst has programmed everything in advance. **What problems is Deepnote solving and how is that benefiting you?** Quick analyses of our sales, our customer databases, and purchase predictions. ### 39. It is great for viewing landing page test results **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** My team uses Deepnote to track landing page test results, and the platform makes it super easy to pick out insights from the data provided **What do you dislike about Deepnote?** I don't have any downsides! I think if we could see more charts and data visualizations, that would be great. **What problems is Deepnote solving and how is that benefiting you?** We often want to test how different ad landing pages affect ad conversion rates, and Deepnote makes it very easy to set up these tests and view results. ### 40. Deepnote: is it worth the switch? **Rating:** 4.5/5.0 stars **Reviewed by:** Agobakwe M. | Bachelor of science student, Small-Business (50 or fewer emp.) **Reviewed Date:** July 03, 2025 **What do you like best about Deepnote?** Supports python,SQL, integrates with GitHub, snowflake, BigQuery.. It is ideal for classrooms, portfolio projects and teams. No setup needed. **What do you dislike about Deepnote?** Thereā€™s limited offline use. Some features are behind a paywall **What problems is Deepnote solving and how is that benefiting you?** It helps solve problems like disconnected tooling, complex setup and environment management, lack of real-life collaboration in Data science Notebooks. ### 41. One of the best AI assistants, but with a lot of improvements to be done **Rating:** 4.0/5.0 stars **Reviewed by:** Felipe B. | Senior Product Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** Deepnote has a very easy implemantation; It's ease to use and very useful, with a good capacity to generate insights. **What do you dislike about Deepnote?** Deepnote does not permit to create analysis based on previous datasets; It often hallucinates; It does not obey the instructions, ex: Mmake this analysis in SQL instead of python or generate just this KPI (often creates excessive useless analysis) **What problems is Deepnote solving and how is that benefiting you?** How to increase the productivity of our data analysts and business analysts. ### 42. good NCLC analytics tool **Rating:** 3.5/5.0 stars **Reviewed by:** Tymoteusz S. | Ai software engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 27, 2025 **What do you like best about Deepnote?** the team did a great job building an efficient interface where "conversational" features are not over-shadowing everything else and it has still quite good "deterministic" part. **What do you dislike about Deepnote?** Tbh I really liked the tool and I don't see any obvious bugs, fails etc. I think it is a SOTA. software for user-friendly data-analytics. Maybe offer in future releases some nicely designed package for interpreting/analyzing correlations etc.? **What problems is Deepnote solving and how is that benefiting you?** It didn't really solve any of my problems as I usually use raw python/sql for solving my problems. But the tool could help less technical people to quickly interpret and analyze data which I think is a big win ### 43. Fast Setup and Seamless Browser Experience **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** January 11, 2026 **What do you like best about Deepnote?** Quick set-up and everything runs on your internet browser without interruption. **What do you dislike about Deepnote?** Need to contact for access to larger machines **What problems is Deepnote solving and how is that benefiting you?** Forecasting, ML analytics ### 44. Very Useful **Rating:** 4.5/5.0 stars **Reviewed by:** Shaikh S. | TRAVEL CONSULTANT, Enterprise (> 1000 emp.) **Reviewed Date:** October 14, 2025 **What do you like best about Deepnote?** All data is secure and encrypted And easy to usw **What do you dislike about Deepnote?** The links stops sometimes and we have to redo it **What problems is Deepnote solving and how is that benefiting you?** We can do data analytics easily and working with various dats sources and integrations ### 45. Amazed by Deepnote **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Mid-Market (51-1000 emp.) **Reviewed Date:** April 23, 2025 **What do you like best about Deepnote?** I really like how easy it was to access/upload new files to DeepNote and start using them, unlike Google Colab, where I had to remount it, and it used to take up space in my Google Drive. I had the freedom to keep data files separate and organized. At the same time, we have many powerful machines available, along with Integrations. **What do you dislike about Deepnote?** The machine has idle time for just 15 minutes, which can be challenging at times, but with the paid version, the problem is solved. **What problems is Deepnote solving and how is that benefiting you?** I am able to upload my files and save them more conveniently and use them as if I am working on my local machine, at the same time other collaborator could also contribute. ### 46. A better alternative to traditional notebooks out there **Rating:** 4.5/5.0 stars **Reviewed by:** Amol M. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** November 28, 2024 **What do you like best about Deepnote?** As a university student who was using Deepnote while working on a team data visualization project, I loved how the interface made collaboration seamless. The real-time multi-user editing was a game-changer for us, which allowed us to easily work on different parts of the code remotely. As we were in a group, having the ability to organize our work into our structured notebooks was extremely handy, and kept all of the various components tidy. I found the commenting feature to be particularly helpful for sharing feedback throughout the project, which really helped with improving our efficiency as a team. Overall, I found Deepnote to be extremely user intuitive as a platform, and will definitely continue to use it in projects going forth. **What do you dislike about Deepnote?** While I found almost every aspect of Deepnote to be perfect, one thing that I did experience was the lag or lengthy loading time for larger projects. Given the nature of our final-year project and the size of datasets we were working with, it sometimes took longer than expected for projects to load. It wasnā€™t a dealbreaker, but it did slow us down occasionally during crunch times. **What problems is Deepnote solving and how is that benefiting you?** The main aspect that I think Deepnote tackles extremely well, that I felt while using the platform for my final-year data visualization project, was its exceptional ease of use for collaborative work. It allowed all of us to work on the same notebook in real time without the risk of versioning issues (which I have personally encountered on other platforms freqeuntly) or overwriting each other's work, which saved us a great deal of time and stress. For a large team, it's organizational features were also highly beneficial, keeping our work structured and easy to navigate, which made team meetings and progress updates far more effective overall. Additionally, the built-in commenting feature enabled us to share feedback directly within the notebook, eliminating the need for us to send code on other communication platforms. Overall, Deepnote allowed us to focus on the project itself rather than the various logistical hurdles, which greatly enhanced my productivity and the quality of teamwork. ### 47. allows us to house data cleanly! **Rating:** 5.0/5.0 stars **Reviewed by:** Ray C. | Head of Marketing, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** love how it pulls tables for us. Allows us to share data internally. **What do you dislike about Deepnote?** it might be a little bit slow but works well. **What problems is Deepnote solving and how is that benefiting you?** sharing data internally ### 48. Deepnote is the most convenient tool for data analytics I have ever used. **Rating:** 4.5/5.0 stars **Reviewed by:** Grigory M. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** November 19, 2024 **What do you like best about Deepnote?** Previously used Jupyter Notebook and PyCharm. Would like to say that Deepnote is more convenient, you just create python or SQL cell in a matter of seconds. Making new integrations is also mostly very easy. UI is very straightforward and user-friendly, everything that is often needed in everyday work is by your hand (table schemas, timetables for your script, integrations, etc.) **What do you dislike about Deepnote?** The only real drawback I see is that sometimes Deepnote stops working or works very slowly. It can disrupt your work, but actually I would like to say that such things happen not more than 2 times a month, moreover, in most cases it is fixed quite quickly, so I have not missed a single deadline in my daily routine. **What problems is Deepnote solving and how is that benefiting you?** It is a notebook consisting of different cells of code, which is very useful for working with data via python and SQL. By creating additional cells you can easily control what intermidiate results you want to see in your pipeline, and what results you do not want to see. It is very important if you need to understand reasons of data loss, or reasons of mistakes made in the initial source of data. You can't use PyCharm of VS code for these purposes, or it is less convenient. Jupyter Notebook is also great for this, but another advantage of Deepnote is that integrations and e.g. contents are all easily set or already integrated in your notebook. In Jupyter Notebook there is a lot of extenstions you need to download by yourself, and it takes much more time and effort to do this. ### 49. Deepnote is one of the best tools for collaboration in data **Rating:** 4.0/5.0 stars **Reviewed by:** BĆ”lint T. | Lead Analytics Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** November 13, 2024 **What do you like best about Deepnote?** I have been using Deepnote for more than a year and I'm super satisfied with it. It's easy to connect to our data watehouse and run our first line of code. Deepnote AI makes data exploration way faster, we are power user of the App function. Several applications are used across the organisation. Notebook scheduling is also extremely useful for us with integrating Deepnote to Slack and Notion. We were able to create a fully automated reporting for our stakeholders. **What do you dislike about Deepnote?** Althought we love the product, there are some areas where the team could make some improvements. Deppnote runs our code on their own machines, not using our AWS sources, so somethimes queries run slower than usual. I'd really like to see a canvas feature so we would be able to create customized reports (i.e. a Metric Tree). **What problems is Deepnote solving and how is that benefiting you?** Easy integration to our data warehouse and supporting collaboration. So we don't need to struggle with connecting to Athena, it's easy to set up as 1-2-3. We are able to collaborate seamlessly on analysis and ML modeling. ### 50. Never seen better tool for Business analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Martin D. | Co-founder & Head of Marketing, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** November 13, 2024 **What do you like best about Deepnote?** Deepnote has truly transformed the way I work with data. Its user-friendly interface is both intuitive and visually appealing, making it a joy to navigate even the most complex tasks. The platform's speed and efficiency are unmatched, allowing me to focus on insights rather than waiting for processes to complete. One of the standout features is the sheer versatility in data connectivity options. Whether you're pulling from databases, APIs, or cloud storage, Deepnote seamlessly integrates with a wide array of data sources, providing unparalleled flexibility for any project. Moreover, their AI and copilot functionalities are second to none. These tools not only enhance productivity but also empower users with intelligent suggestions and automation capabilities that streamline workflows and boost creativity. In summary, Deepnote is a powerhouse for anyone looking to elevate their data analysis experience. It's a must-have tool for data professionals and enthusiasts alike. **What do you dislike about Deepnote?** One area where Deepnote could improve is in its flexibility regarding the customization of block positioning within the app. Currently, users have limited control over arranging blocks to suit their workflow preferences. Enhancing this feature would greatly benefit users by allowing for a more personalized and efficient workspace, tailored to individual needs and project requirements. **What problems is Deepnote solving and how is that benefiting you?** Deepnote has revolutionized the way we analyze product user data. By providing a seamless platform for data exploration and visualization, it empowers our team to dive deep into user behavior and preferences. This has been instrumental in identifying which features resonate most with our audience, allowing us to strategically focus our development efforts. The intuitive interface and collaborative features make it easy for our team to work together, ensuring that insights are shared and leveraged across departments. With Deepnote, we're not just collecting data; we're transforming it into actionable insights that drive our product's success and enhance user satisfaction. ## Deepnote Discussions - [Is Deepnote good?](https://www.g2.com/discussions/is-deepnote-good) - 1 comment - [Is Deepnote better than Colab?](https://www.g2.com/discussions/is-deepnote-better-than-colab) - 1 comment - [View Deepnote pricing details and edition comparison](https://www.g2.com/products/deepnote/reviews?page=2&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-05+02%3A48%3A29+-0500&secure%5Bsession_id%5D=33e21821-629f-441f-82b3-3eff23e9b1e9&secure%5Btoken%5D=0cd440c201b3d4bb0076a1f36b6d19a6e2e25e55d93480628da930b41a50c142&format=llm_user) ## Deepnote Integrations - [Airtable](https://www.g2.com/products/airtable/reviews) - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews) - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - 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[PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [PrestaShop](https://www.g2.com/products/prestashop/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [Slack Connector for Jira](https://www.g2.com/products/slack-connector-for-jira/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Supabase](https://www.g2.com/products/supabase-supabase/reviews) - [Vercel](https://www.g2.com/products/vercel/reviews) - [Weights & Biases](https://www.g2.com/products/weights-biases/reviews) ## Deepnote Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Functionality ** - Ease of Use - File Management - Multi-Language Support - Customization - Straight-Out-the-Box Functionality - Help Guides - Patching & Updates **System** - Data Ingestion & Wrangling **Data Preparation** - Connectors - Data Governance **Model Development** - Language Support - Pre-Built Algorithms - Model Training **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Generative AI** - AI Text Generation - AI Text Summarization **Deployment** - Managed Service - Application - Scalability **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **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 **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - 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