# 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:** 382 ## 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 Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind.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. 🤖 Analyze with AI • Generate code and visualizations by describing your goal. • Auto-write, run, and debug code with AI. • Move faster with context-aware AI suggestions. đź”— Unify • Connect to 60+ data sources like BigQuery, Snowflake, and PostgreSQL. • Combine Python and SQL in one notebook. • Build reusable ETL, analytics, and metric modules. • Create a semantic layer with shared definitions and trusted metrics. ⚖️ Scale • Instantly boost compute power, more included than Colab. • Schedule jobs and get notified with fresh results. • Organize work in projects and folders for team clarity. • Manage workflows via REST API. 🚀 Launch • Turn notebooks into dashboards or data apps, natively or with Streamlit. • Let users explore data with interactive inputs. • Share secure, live apps in one click. ## Deepnote Pros & Cons **What users like:** - Users find Deepnote's **ease of use** invaluable, facilitating seamless collaboration and efficient task automation. (170 reviews) - Users appreciate the **easy collaboration** features of Deepnote, enabling seamless teamwork and data analysis efforts. (120 reviews) - Users value the **easy integrations** in Deepnote, enhancing their workflow with straightforward data connectivity options. (76 reviews) - Users appreciate the **strong team collaboration** in Deepnote, facilitating seamless interactions between data and engineering teams. (76 reviews) - Users appreciate the **user-friendly data management features** of Deepnote, simplifying analytics and enhancing team collaboration. (67 reviews) - Users appreciate the **easy database integrations** in Deepnote, facilitating smooth project setups and data management. (62 reviews) - Useful (62 reviews) - AI Integration (59 reviews) - Time-Saving (59 reviews) - Sharing Ease (58 reviews) **What users dislike:** - Users find the **slow performance** of Deepnote frustrating, especially when handling large datasets or notebooks. (61 reviews) - Users find that Deepnote has **limited features** , lacking essential options like SQL querying for every dataframe. (32 reviews) - Users frequently encounter **data management issues** in Deepnote, affecting project context and import handling. (29 reviews) - Users find **missing features** in Deepnote, particularly lacking SQL querying and direct Git integration for deployment. (26 reviews) - Users find Deepnote **lacking key features** , such as improved context retention and enhanced visualization tools, affecting usability. (25 reviews) - Users experience **lagging performance** in Deepnote, especially during long sessions, impacting their workflow and efficiency. (25 reviews) - Users face frequent **bugs and freezes** , creating challenges in organization and functionality within Deepnote. (24 reviews) - Users often face **slow loading times** with Deepnote, especially with larger projects or poor connectivity, hindering productivity. (23 reviews) - Notebook Usability (22 reviews) - UX Improvement (22 reviews) ## Deepnote Reviews ### 1. Amazing Product **Rating:** 4.5/5.0 stars **Reviewed by:** Lamar W. | Supply Chain Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** March 22, 2025 **What do you like best about Deepnote?** These talented developers have come full circle with an amazing product. I recently did a python project for root cause analysis made it into an app and presented it to my team and they loved it. This is a great product and moving between python and SQL is very handy. **What do you dislike about Deepnote?** I don't have any negative critique about Deepnote, it does exactly what I need. **What problems is Deepnote solving and how is that benefiting you?** I like the code assist. After I write a few lines the AI is intuitive enough to save several keystrokes. ### 2. The Best Collaborative Data Science Platform Out There! **Rating:** 5.0/5.0 stars **Reviewed by:** David S. | CIO, Enterprise (> 1000 emp.) **Reviewed Date:** November 07, 2024 **What do you like best about Deepnote?** Deepnote has completely transformed my workflow as a data scientist. It combines the functionality of traditional Jupyter notebooks with powerful collaborative features, making it an essential tool for any data science team. The platform is incredibly intuitive, with a clean interface and built-in support for all major data science libraries. One of the standout features is real-time collaboration – I can work alongside my teammates just like in Google Docs, which has significantly boosted our productivity. Setting up projects is seamless, and Deepnote handles the back-end configurations, so we can focus entirely on data exploration and analysis. The integration with various data sources, from databases to APIs, is smooth and easy to manage, saving us so much time on setup. The support team is also highly responsive and genuinely cares about user feedback, frequently rolling out updates that make the platform even better. Whether you’re a beginner or a seasoned data professional, Deepnote will elevate your projects. Highly recommend it to anyone looking for a reliable, efficient, and collaborative data science environment! **What do you dislike about Deepnote?** Honestly, there’s very little to dislike about Deepnote! If I had to pick something, it would be great to see even more customization options for themes and layout preferences. But even as it stands, Deepnote’s design and functionality are top-notch. **What problems is Deepnote solving and how is that benefiting you?** Real-Time Collaboration,Seamless Integration, Enhanced Code Management, AI-Powered Assistance ### 3. Intuitive Collaboration for Data Projects **Rating:** 4.5/5.0 stars **Reviewed by:** Anas B. | Product Director, Mid-Market (51-1000 emp.) **Reviewed Date:** November 07, 2024 **What do you like best about Deepnote?** Deepnote offers an incredibly intuitive platform for collaborative data analysis, making it easy to share projects and insights with team members. The real-time collaboration feature is particularly useful, allowing multiple users to work on a notebook simultaneously without issues. The integration capabilities with tools like SQL, Python, and data visualization libraries make it versatile for various data needs, from exploration to presentation. The interface is also very user-friendly, which lowers the learning curve for new users, whether they're analysts or product managers." **What do you dislike about Deepnote?** While Deepnote excels in collaboration, there are a few areas that could be improved. The platform can occasionally be slow when handling very large datasets, which impacts productivity. Additionally, while it integrates well with many data sources, it would be beneficial to have more customization options in the data visualization aspects, as the current capabilities can feel limited for advanced visualizations. Lastly, the cost for enterprise features can be a bit steep, which might be a barrier for smaller teams. **What problems is Deepnote solving and how is that benefiting you?** Deepnote is solving several key problems for our data-driven projects, primarily by enhancing collaboration, simplifying data access, and reducing technical barriers. In a typical data analysis workflow, sharing insights and working in real-time with teammates can be cumbersome, especially when using traditional tools. Deepnote's collaborative environment allows multiple users to seamlessly work together in a single notebook, eliminating version control issues and making it easy to get feedback instantly. Another major benefit is its integration with various data sources and tools (SQL databases, APIs, and cloud storage), which streamlines data access and reduces the time spent on data preparation. This enables us to focus more on analysis and insights rather than data wrangling. For me, as a Product Manager, it’s invaluable to have a platform where I can quickly access up-to-date information and collaborate with analysts on reporting and visualization, which ultimately speeds up decision-making and helps deliver better insights to stakeholders. ### 4. Quick way to incentivate a no-tech team to start to code **Rating:** 5.0/5.0 stars **Reviewed by:** Pedro H. F. | Head of Growth & Marketing, Small-Business (50 or fewer emp.) **Reviewed Date:** May 23, 2025 **What do you like best about Deepnote?** The building blocks approach are very helpful, easy way to automatize small tasks to connect databases, transform and analyze data **What do you dislike about Deepnote?** The IA tool is not very helpful, i prefer to use chat gpt or v0 to help me **What problems is Deepnote solving and how is that benefiting you?** ETL for marketing: offline conversion tracking uploaded back to ads platforms. Lead scoring ### 5. Generation and accessibility **Rating:** 5.0/5.0 stars **Reviewed by:** Calvin V. | DOL Special Government Employee, Mid-Market (51-1000 emp.) **Reviewed Date:** March 21, 2025 **What do you like best about Deepnote?** The native AI was very intuitive and the option to toggle code versions and specifics was great. Export and running on other platforms was direct and the App feature wasn't implemented but an interesting addition. **What do you dislike about Deepnote?** When the AI compiled generated code that did not run, failed code blocks remained in the notebook until manually removed. **What problems is Deepnote solving and how is that benefiting you?** Both the query and analysis results were run on a large data set with very little intervention. Having both available simultaneously made fine tuning results simple. ### 6. Clean UI and effortless setup make data analysis a breeze **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Entertainment | Small-Business (50 or fewer emp.) **Reviewed Date:** January 16, 2025 **What do you like best about Deepnote?** Perfect for startups handling large datasets with budget constraints. The simple UI is intuitive even for team members with limited engineering background, while still being powerful enough for experienced engineers. Our engineering team found the setup process remarkably smooth. The platform offers enterprise-level features at a reasonable cost, making it an excellent choice for growing teams. **What do you dislike about Deepnote?** While not exactly dislikes, there are areas for potential enhancement: multilingual support (especially for Japanese) could be improved, and we look forward to seeing more advanced AI assistant features. These additions would make this already excellent platform even better for international teams. **What problems is Deepnote solving and how is that benefiting you?** As a startup handling large-scale data analysis, we faced two main challenges: high infrastructure costs and the need for a platform that works for both technical and non-technical team members. Deepnote solved these by providing a cost-effective solution with enough computing power for our large datasets, while its intuitive UI allows our diverse team to collaborate effectively. The quick setup time and minimal configuration requirements significantly reduced our operational overhead, allowing us to focus on actual data analysis rather than infrastructure management. ### 7. Intuitive UI, easy for spinning up long running tasks **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?** Easily allowed our data and engineering teams to collaborate on generating datasets, simple UI that makes it easy to spin up long tasks **What do you dislike about Deepnote?** Nothing major -- there's some small product changes: * Pinning block actions at the top. The notebook actions (run etc) are sticky as you scroll, but oftentimes I wanted to just re-run a single block, but I'd end up re-runnning the whole notebook * If a block writes to a file, link to that file in the output section **What problems is Deepnote solving and how is that benefiting you?** Platform for data and engineering teams to collaborate ### 8. Deepnote Is Great But Needs Better Inline Editing **Rating:** 4.0/5.0 stars **Reviewed by:** Gwen R. | Founding Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** October 30, 2024 **What do you like best about Deepnote?** I love how I can store all of my keys in one place. I like that I can build an app for my team that they can view daily if they want. We use it for our product analytics (we are very early stage startup) and everyone is pretty happy with that use. The actual interface is very nice to use and intuitive. I'm glad I can run a notebook and walk away and then check it in an hour or half a day depending on the length and intensity of the notebook. It's very easy to spin up new projects and to share them with my team, even if the team member is only passingly familiar with python. **What do you dislike about Deepnote?** There is a scroll issue where I click on a spot on a page and it like takes me to a different spot? And I get stuck in that loop sometimes and it is annoying. I wish I could do more with the visualization tool. I want to be able to add two different data columns and have them on the same graph and I want to be able to tell the graph that something is a time or currency etc. I want to be able to adjust the graph a lot more in the viz tool. Sometimes when I click "cancel execution" it doesn't work so i am just in limbo with that notebook for a long while. The inline editing should be better/faster? Cursor does inline editing a lot better (I use cursor for typescript but not python b/c i like notebooks). **What problems is Deepnote solving and how is that benefiting you?** It's our product analytics dashboard! It is also my python notebook and it's a really really good python notebook app. ### 9. Amazing Flexiable Data Tool **Rating:** 5.0/5.0 stars **Reviewed by:** Jacob S. | Head of BI, Mid-Market (51-1000 emp.) **Reviewed Date:** November 29, 2022 **What do you like best about Deepnote?** I'm a finance professional who was brought up on Excel. I started dabbling in SQL as we have a datawarehouse and then stumbled across Deepnote about 18 months ago. Deepnote is now an invaluable tool in our Finance department as we have used it to automate reporting and some simple processes. The AI assistant makes writing code both in Python and SQL a breeze - even for those who arent experts in these languages. I like the fact that we can share outputs in dynamic apps to the rest of the business and they can play around with filters live. We also have a number of workbooks scheduled to provide exception reporting to various team members to drive certain behaviours. I have used thier support team a couple of times, and they have been absolutley great **What do you dislike about Deepnote?** There is very little I don't like - I think sometimes it would be nice to have a neater way to export apps to pdfs for printing ahead of certain important meetings. **What problems is Deepnote solving and how is that benefiting you?** It allows rapid development of data products within our business and an easy way to share them. ### 10. Great platform for collaborative data science **Rating:** 4.0/5.0 stars **Reviewed by:** Kumar Neelotpal (Neel) S. | MBA Student, Small-Business (50 or fewer emp.) **Reviewed Date:** January 12, 2025 **What do you like best about Deepnote?** Deepnote allows multiple people to edit the same Jupyter notebook, one that has been significantly enhanced with markdown, charts, SQL and integrations. AI auto-complete is the cherry on top. **What do you dislike about Deepnote?** The collaboration itself could be made more real-time. Currently, my partners and I have to work on separate code blocks. If we both work on the same one, we overwrite each other. The AI auto-complete is a bit too fast for my liking. **What problems is Deepnote solving and how is that benefiting you?** I'm an MBA student taking classes that require collaborative coding. Deepnote is an easy-to-use platform that supports all my requirements and languages: Python and R. The charting and SQL functions in Deepnote are top notch and make data exploration a breeze. ### 11. Sharing notebooks made easy **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Construction | Mid-Market (51-1000 emp.) **Reviewed Date:** January 28, 2025 **What do you like best about Deepnote?** I love that I can simply transform my python notebooks into user-friendly apps and share them just by using a link. It's so convenient. Compared to google colab and similar online solutions, it is possible to upload the files used by the notebook which is a massive plus! **What do you dislike about Deepnote?** There are some minor difficulties with python, e.g. spatial operations sometimes are not compatible due to a lack of spatial index (e.g. rtree) although index is installed. Some things also depend on the kernel version. So, all in all, debugging isn't as easy as on a local machine. **What problems is Deepnote solving and how is that benefiting you?** I was looking for an online solution that allows sharing a notebook in a simple manner whereas the required data to run the notebook comes with the notebook. I didn't find anything else that is similar without connecting to a google account or something else. ### 12. Easy use platform with solid AI-based reasoning **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** May 30, 2025 **What do you like best about Deepnote?** Love Deepnote because it's become the go-to tool for me to conduct analytics. What I love the most is the way in which labeling my sections is so easy as the gen-AI backend can easily detect what I am most likely do next. **What do you dislike about Deepnote?** I think that Deepnote's AI completion of code is quite lacking, and it sometimes suggests code that is quite long versus the most efficient form of code. **What problems is Deepnote solving and how is that benefiting you?** Deepnote solves easy access to python in one seamless platform. ### 13. Product Efficiency and Productivity **Rating:** 4.0/5.0 stars **Reviewed by:** Udit A. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 27, 2025 **What do you like best about Deepnote?** It efficiency feature. It make very easy to maintain ETL pipeline and share the projects with others. **What do you dislike about Deepnote?** Sometime it takes too much time to run the scripts. **What problems is Deepnote solving and how is that benefiting you?** It make the result of project very easy to share. I also use it for ETL purpose. ### 14. It has been good - expect more AI capabilities **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** The app feature is pretty good - the interchange between languages SQL, python etc has also been good. **What do you dislike about Deepnote?** I feel like with agents like claude code and cursor - you need a deeper AI stack in the platform to make it stand out. **What problems is Deepnote solving and how is that benefiting you?** Analyzing data at scale ### 15. A good alternative to Google Colab **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** July 18, 2025 **What do you like best about Deepnote?** The pricing is very good and all platform works very well, there are different machines you can choose from. **What do you dislike about Deepnote?** I have been facing problems using the google drive integration. It supposed to be very simple but i keep getting errors. There is not much tutorials online about deepnote. **What problems is Deepnote solving and how is that benefiting you?** Training models of computer vision ### 16. Deepnote for digital pathology **Rating:** 4.0/5.0 stars **Reviewed by:** Emilie M. | Deep Learning Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 11, 2025 **What do you like best about Deepnote?** - Running multiple notebooks simultanously - Cool integration of github -I appreciate the seamless file integration system and the efficient S3 integration. **What do you dislike about Deepnote?** • There aren’t enough AI environments; it would be great to have Torch, RAPIDS, and PyTorch Lightning environments. • The terminal should be more than just an add-on—running code for training models would be much more convenient. • An intermediate GPU between the V100 and the K80 could be useful, especially because the Nvidia driver on the K80 doesn’t allow running the latest models. **What problems is Deepnote solving and how is that benefiting you?** - Quick development on GPU ### 17. A clean data workbook for creating models. **Rating:** 4.0/5.0 stars **Reviewed by:** Aarush G. | Data Analytics Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 25, 2024 **What do you like best about Deepnote?** The most helpful thing about Deepnote is its cloud-based framework. This enables me to resume working from anywhere and share my results dynamically with others. Another helpful attribute is the AI companion that comes with the Pro subscription. When improving Ml model performance the AI can implement various techniques such as hyperparameter tuning and feature selection to improve accuracy. **What do you dislike about Deepnote?** I dislike that if I change a small feature in a recent block of code, then I need to run the whole notebook again. This makes working a bit cumbersome in the long-term. **What problems is Deepnote solving and how is that benefiting you?** It is enabling me to create a consistent backend framework for my allergic diagnosis application. The notebooks enable me to deliver results via Python and upload that to database for retrieval in other environments such as XCode. ### 18. Make easier your process with and from data **Rating:** 5.0/5.0 stars **Reviewed by:** Carolina J. | Head of Product, Engineering and Data Science, Mid-Market (51-1000 emp.) **Reviewed Date:** May 26, 2025 **What do you like best about Deepnote?** Powerfull tool to make analysis, create control tables, execute process and alerts. Easy to use **What do you dislike about Deepnote?** The cost, so i have to control how many people has access to build with it **What problems is Deepnote solving and how is that benefiting you?** complex data analysys Alerts and some process automation ### 19. Data science notebook that keeps improving **Rating:** 5.0/5.0 stars **Reviewed by:** Ridwan S. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Deepnote?** The continuous and frequent feature addtions. This has enabled me to keep improving my data workflows. **What do you dislike about Deepnote?** Setting up virtual environments can be made easier. **What problems is Deepnote solving and how is that benefiting you?** 1. Ease to share notebooks with internal stakeholders to do simulations and analysis. 2. Prototyping data products. ### 20. It makes notebooks collaborative **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?** Deepnote's search and ease of sharing. Prior to using Deepnote we had an awkward repo of hundreds of Jupyter notebooks. Finding specific notebooks was really hard. Sharing them even harder. With Deepnote, search and sharing became really easy. **What do you dislike about Deepnote?** I haven't yet intuited to the AI features and think that's a big opportunity going forward. **What problems is Deepnote solving and how is that benefiting you?** Making our repo of Jupyter notebooks searchable and shareable. This became really important when we went from 1 DS -> 2. ### 21. Overall great! **Rating:** 4.0/5.0 stars **Reviewed by:** Carmina B. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** June 12, 2025 **What do you like best about Deepnote?** It has a diverse set of functionalities that different kinds of team members can use. **What do you dislike about Deepnote?** Mobile experience/UI/UX isn’t ideal, only good on desktop. **What problems is Deepnote solving and how is that benefiting you?** Data Analytics collaboration ### 22. Great product, easy to use **Rating:** 4.0/5.0 stars **Reviewed by:** Raymond P. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** February 11, 2025 **What do you like best about Deepnote?** Integrates well with existing data warehouses and easy transition between pulling data from SQL and doing analysis on python/pandas **What do you dislike about Deepnote?** The notebooks don't remember which data warehouse the sql code comes from every time I create a new cell. Also doesn't remember the last cell's language (sql, python). **What problems is Deepnote solving and how is that benefiting you?** Deepnote makes it easy for me to keep track of my existing queries and analytics studies. Rather than having to create a document of copy-pasted images and tables I can do it all in one deepnote notebook. ### 23. Great and streamlined our processes **Rating:** 4.0/5.0 stars **Reviewed by:** Will T. | Head of data, Small-Business (50 or fewer emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Deepnote?** Sharing / no wall building between teams **What do you dislike about Deepnote?** Integrations with data sources are limited with poor auth **What problems is Deepnote solving and how is that benefiting you?** Allow sharing of work and analyses between teams and support junior members of the team learn how to code ### 24. Great Tool for Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Pranav K. | Marketing Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 21, 2025 **What do you like best about Deepnote?** It's the one stop for different tools like BI, Coding and Dashboards **What do you dislike about Deepnote?** The integrations can be possibly better. **What problems is Deepnote solving and how is that benefiting you?** One solution for many tools and it'a providing machines at cheaper costs. ### 25. Great for collaboration and quick proof of concepts, building integrations is very easy **Rating:** 4.0/5.0 stars **Reviewed by:** Ahmad G. | Head of Data, Small-Business (50 or fewer emp.) **Reviewed Date:** November 27, 2024 **What do you like best about Deepnote?** I’ve been using Deepnote and it has quickly become one of my favorite tools for data analysis and collaboration. The platform is fantastic for team-based work, making it easy to collaborate in real time. It’s also incredibly intuitive for quickly prototyping and testing ideas, allowing for seamless proof of concept development. One of the standout features is how easily it is to set up integrations. Whether connecting to data sources or setting up workflows, the process feels streamlined and efficient **What do you dislike about Deepnote?** Nothing immediate comes to mind in terms of dislikes, for what we use it for, it's been great **What problems is Deepnote solving and how is that benefiting you?** Deepnote addresses several key challenges for us: Seamless Collaboration Simplified Integrations Rapid Prototyping and Proof of Concepts ### 26. Simple to use, ideal for a newbie **Rating:** 4.5/5.0 stars **Reviewed by:** Rachel M. | Analyst and Technical Writer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 25, 2024 **What do you like best about Deepnote?** As a newbie to using Deepnote for Python, I really appreciated the clean interface and that I didn't need to be a really experienced user to figure things out. The AI assistance is insanely helpful and actually helps you learn what you're doing wrong (or right). **What do you dislike about Deepnote?** I think the only thing I got a little confused about was the notebooks and which one I was in and when. Otherwise, I can't find fault with anything. **What problems is Deepnote solving and how is that benefiting you?** I was going through a data analytics bootcamp and on the Python section, we were introduced to Deepnote. As I said, it's a clean and straightforward interface and the AI assistant is really great for guiding you as a newbie. ### 27. Value for money - Python IDE Cloud based solution **Rating:** 4.5/5.0 stars **Reviewed by:** vaibhav g. | Co-Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** November 05, 2024 **What do you like best about Deepnote?** This cloud-based Python IDE has revolutionized my coding experience. It's incredibly user-friendly, with a clean interface and intuitive features. The seamless integration with databases and local files with performace has made my model training experience amazing. And it saves me valuable time while collabrating with my team at the development period. Also, the built-in terminal in this cloud IDE is a lifesaver. I can execute shell commands directly within the IDE, making it a one-stop solution for all my development needs **What do you dislike about Deepnote?** More comprehensive scheduling options and interactive based options could complete the loop with story telling is clean and self servicable. **What problems is Deepnote solving and how is that benefiting you?** It helps in executing huge data set feature extraction and model training. Team can monitor the performance and collabrate at the same place. ### 28. A great, collaborative Jupyter replacement **Rating:** 4.0/5.0 stars **Reviewed by:** Daniel M. | Managing Director, Small-Business (50 or fewer emp.) **Reviewed Date:** November 26, 2024 **What do you like best about Deepnote?** I love Deepnote's UI. It makes working with small- to midsized datasets super easy and adds useful collaborative features. Their "App" approach for internal dashboards reminds me of Retool and is a fantastic feature to share insights generated to non-technical team members without time-heavy preparation (pasting generated graphs into PowerPoint or such). **What do you dislike about Deepnote?** For very small datasets, especially if collaboration isn't needed, Deepnote can be a tad too heavy and running Jupyter (or similar tooling) locally circumvents the need to expose your Data via API or uploading it first. **What problems is Deepnote solving and how is that benefiting you?** We are using Deepnote to analyze pre-sales for our in-person events. Using Deepnote helps us generate graphics that we can all access and discuss collaboratively. ### 29. Great A/B testing took **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Deepnote?** It’s a great way to keep track of the A/B tests that we run. There are also great visualization tools for us to help craft a story for stakeholders. **What do you dislike about Deepnote?** I wish there was a stat sig indicator that helps determine when we have reached significance and move forward with the winner of our tests. **What problems is Deepnote solving and how is that benefiting you?** Helping us run redirect landing page split tests. ### 30. Great platform **Rating:** 5.0/5.0 stars **Reviewed by:** Z K. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** February 16, 2025 **What do you like best about Deepnote?** I love the fact that you can select from a variety of different machine choices, whether its hardware options or different environments that can be used, and the fact that it offers GPUs is great as, well! Personally i prefer it over alternatives such as google colab; It's hassle free and i get to run all my apps! Great customer support, easy to use and there is ease of impementation tied in to the process thanks to their wonderful ai; I use it everytime i need to run a model or do research and it integrates well into my pipelines! **What do you dislike about Deepnote?** Absolutely nothing wrong with it; Perfect! **What problems is Deepnote solving and how is that benefiting you?** AI-ML-Data analysis ### 31. Deepnote: Nearly Perfect for My Data Science Needs **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Primary/Secondary Education | Small-Business (50 or fewer emp.) **Reviewed Date:** November 29, 2024 **What do you like best about Deepnote?** Honestly, it's the real-time collaboration that sold me. Look, I've tried pretty much everything out there - Jupyter, Google Colab, you name it. But Deepnote just clicks differently, especially when working with my team. No setup hassle along with a live version control is what was needed. Never needed any customer support as the docs were pretty comprehesive and covered everything. Easy,powerful and very vast of integrations available. Using it since ~3 months. Would recommend. **What do you dislike about Deepnote?** Problem with large datasets as the whole application gets a little buggy sometimes and some minor UI nitpicks i have, other than that, a solid and very to use application. **What problems is Deepnote solving and how is that benefiting you?** Deepnote is a gamechanger in reducing the collaboration chaos and the live version control system in Machine Learning. I can easily see who changed what, when, and why. It's made experimenting and iterating on models so much smoother and less stressful. ### 32. Collaborative notebooks for real! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** December 25, 2024 **What do you like best about Deepnote?** This is the best interactive notebooks platform I stumbled upon. It allows for real time collaboration with shared kernel, so that people can interactively prototype new applications. I can easily build example apps without having to install anything on my laptop - good choice also for hackathons! **What do you dislike about Deepnote?** Sometimes it can be slow or the kernel can crash, the file management system is not always intuitive (hard to find the latest notebooks that have been changed at first sight) **What problems is Deepnote solving and how is that benefiting you?** Real time collaboration with my remote team, especially when quickly prototyping new features. Share some code without having to think of package deployment - people can just see the same as it works for me ### 33. Great for development of most Data Science / Data Engineering projects **Rating:** 4.5/5.0 stars **Reviewed by:** Simon S. | Research Technician, Nanotechnology, Small-Business (50 or fewer emp.) **Reviewed Date:** November 21, 2024 **What do you like best about Deepnote?** It is really fast and effortless to get started. Great that the environment can be configured and it runs in the cloud, so it can be shared with other people. There are plenty of integrations that make it really effortless to pull data to the project. Ai that has the db schema as context. **What do you dislike about Deepnote?** Git integration could be improved, also I feel like while the AI features are useful, they are lacking the latest innovations, like something similar to Cursor Composer (effortless multi-file edits) and Windsurf Cascade (agentic workflows). Editing Python files is pretty bad, but form what I heard, that will be fixed soon. **What problems is Deepnote solving and how is that benefiting you?** Development environment for most data projects ### 34. Really good. **Rating:** 4.5/5.0 stars **Reviewed by:** Dylan P. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** December 02, 2024 **What do you like best about Deepnote?** Very good subsitute for jupyter notebook when working with other people. Allows more than one person to make edits to document which has come in handy far more often than I can recount. Very clean and easy to navigate website, everything is layed out in an intuitive and ergonimc manner. **What do you dislike about Deepnote?** I'm not personally a fan of the AI functionality, I find it annoying and it costs me more time than I save, though I see the potential for it to be a good aid. Look froward to seeing how the technology progress in the future. **What problems is Deepnote solving and how is that benefiting you?** Allows me to work on group projects with relative ease. ### 35. Useful and easy to use Notebook Platform **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** November 18, 2024 **What do you like best about Deepnote?** 1. I like that I can toggle between different compute clusters. It can be useful to use the free tier when working on developing a first pass of a model, and then switching to a paid version for final training. 2. The UI is intuitive and easy to use. 3. It has some interesting smart features. For example, if I !pip install at the top of a notebook, it will pop up with an option to automatically create a requirements.txt file which will run whenever the notebook is initialized. When I click this option, it deletes the cell with the intall and creates the requirements file. **What do you dislike about Deepnote?** I like DS IDE's that have connected coding consoles so I can run arbitrary code without having to create a new cell, or without having to connect a terminal session to the correct kernel, which can be annoying. (Rstudio and JupyterLab are great examples of this in R and Python respectively). Deepnote doesn't have this option, but I feel that it is a great value add to any data science/analytics project. **What problems is Deepnote solving and how is that benefiting you?** -Offloads compute from my local machine -Easy to share work with peers ### 36. It's a excellent tool for data analysis and researches, simply the best! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Mid-Market (51-1000 emp.) **Reviewed Date:** May 29, 2025 **What do you like best about Deepnote?** It's so easy to create analysis, charts, queries. It saves you a lot of time and effort! **What do you dislike about Deepnote?** It could be really annoying when working with large datasets or notebooks, it gets really slow and you cannot use it at all. **What problems is Deepnote solving and how is that benefiting you?** I don't need to be an expert in Python. Coding is really fast and easy. ### 37. The product experience is beautiful and the support & sales team are fantastic **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Civil Engineering | Mid-Market (51-1000 emp.) **Reviewed Date:** December 09, 2024 **What do you like best about Deepnote?** Deepnote has a smooth UI supported by a powerful toolkit with lots of features and a very enthusiastic sales and support team. It has the right range of features for testing and launching interactive and engaging data products for you and your team. **What do you dislike about Deepnote?** Deepnote could use a larger community to increase the knowledge base and help you answer newbie questions. For the quality of product you would expect a lot more content on video sites and social media to showcase the projects possible on the platform and how to make the most of its features. **What problems is Deepnote solving and how is that benefiting you?** Deepnote is making the process of building and sharing data products with stakeholders easier. I prefer to spend more time developing models and the AI assistant makes coding easy while the integrations and app building features make it easier to launch products quickly. ### 38. The AI and autocomplete supercharge my productivity **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 13, 2024 **What do you like best about Deepnote?** I use Deepnote for mostly SQL and light Python. I'm an expert level SQL writer but I still let the AI do a lot of the heavy lifting for me. It helps me write queries faster and debug queries faster. The auto-complete as had learned my sql writing style and has an uncanny ability to create the syntax I'm going for after I just type a little bit of code. For example if I start to type "WHERE my_date B" it will automatically suggest the rest of the syntax using the values I aliased in that code block like ""BETWEEN some_random_alias AND another_random_alias" I love using the Notebook view rather than a SQL query interface like the Snowflake UI. Deepnote is has fast performance as well. **What do you dislike about Deepnote?** I wish I could set a .sqlfluff linter file. I had formatting with commas in back but I can't customize the code formatting with my own settings. **What problems is Deepnote solving and how is that benefiting you?** Faster query writing and analysis. ### 39. One of new AI tools I use daily **Rating:** 5.0/5.0 stars **Reviewed by:** Ismo R. | Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** November 11, 2024 **What do you like best about Deepnote?** I’ve been using Deepnote regularly, and it’s made a significant difference in how I handle my daily tasks. The platform is user-friendly, so working with data feels intuitive even if you’re not highly technical. I appreciate that they’re constantly updating the tool, which means it keeps getting better and stays relevant to my needs. Collaborating with my team has become much smoother thanks to Deepnote’s clear and straightforward tools. Sharing notebooks and working together in real-time has improved our efficiency and the quality of our projects. Integrating with BigQuery was surprisingly easy. Managing the integration credentials didn’t require much effort, which saved me time and avoided the usual hassle of connecting different services. The AI-assisted code generation is a feature I’ve found particularly useful. It speeds up my coding process and makes it easier for team members who might not have a strong technical background to contribute. Overall, Deepnote has become an essential part of my workflow. It’s helped make my work more streamlined and productive, and I highly recommend it to others looking to enhance their data analysis and team collaboration. Very good and simpel user based pricing model that allows us to share some notebooks/projects to users for free as well which is very imporant for us. **What do you dislike about Deepnote?** As a relatively new tool Deepnote has some shortcomings and not-so-ready features. File management and Git integration are some examples. There have been some improvements in these areas though. **What problems is Deepnote solving and how is that benefiting you?** Easy access for our data warehouse and services. Easy prototyping -- with the team. Ability to easily make simple data apps and share access to our team. ### 40. Neat and user-friendly interface, allowing to build efficient workflows for data science projects **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Small-Business (50 or fewer emp.) **Reviewed Date:** June 15, 2025 **What do you like best about Deepnote?** UI is extremely easy to use, which helps to bring productivity to the next level; reasonable pricing for paid machine CPU/GPU **What do you dislike about Deepnote?** more options of integration, improved capabilities to manage across multiple projects and facilitate module imports / code reuse **What problems is Deepnote solving and how is that benefiting you?** ETL and data modelling ### 41. Great tool for wannabe Data Scientist/Engineers **Rating:** 5.0/5.0 stars **Reviewed by:** Carlos L. | |, Venture Capital & Private Equity, Small-Business (50 or fewer emp.) **Reviewed Date:** January 07, 2025 **What do you like best about Deepnote?** Ease of use, UI, code generator through AI **What do you dislike about Deepnote?** Nothing I dislike about Deepnote (yet after 3 months of use) **What problems is Deepnote solving and how is that benefiting you?** Deepnote prove to be the best tool for doing some R&D around the Data Pipelines I have been wanting to develop for a side project/business. After I developed the code in Deepnote, I felt confident I had a good foundation for launching the project officially through outsourcing the specific bits to senior data engineers and web developers for a full scalable implementation of my app. ### 42. Deepnote: Making collaboration easy **Rating:** 4.5/5.0 stars **Reviewed by:** Tehleel B. | Product Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** October 31, 2024 **What do you like best about Deepnote?** Deepnote makes collaboration easy and seamless! As a product manager it is the best tool in the market to collaboarte with data team to gather quantitative insights around any version release. It also provides super awesome visualizations that could be downloaded instantly as png. For the past year, i've been using it daily to ehance the productivity of the team. **What do you dislike about Deepnote?** You experience delays on lower plans. On mobile devices the zoom feature on graphs is slightly buggy. **What problems is Deepnote solving and how is that benefiting you?** It helps us in doing compartive data analysis for the new version releases. It also has improved our efficiency as collaboartion between team members oon deepnote is seamless. Most importantly, it's a cost effecient alternative for our data analytics needs. ### 43. Very user-friendly & intuitive cloud platform - great for collab **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** November 07, 2024 **What do you like best about Deepnote?** What I love most about Deepnote is how easy it is to collaborate with my team in real-time—it really streamlines the whole process and boosts our productivity. The interface is super intuitive, so even if you're not a coding expert, you can still get up to speed quickly. Another big plus is how well it connects with different data sources, making it simple to set up data analysis workflows. Because it's cloud-based, I don’t have to deal with complicated local installs, which is a huge time-saver. I also find the AI tools really handy for code suggestions and debugging, making it quicker to write and fix code. **What do you dislike about Deepnote?** Nothing much, Could perhaps do with some additional viz capabilities to analyse your data but not a big deal **What problems is Deepnote solving and how is that benefiting you?** We use Deepnote mainly for AI-enrichment of our GTM data, along with data cleansing and modeling. It's been a helpful tool in our workflow, making it easier to clean up data and add valuable insights before analysis. I like how we can build and tweak models directly in Deepnote, which helps keep our data processes smooth and efficient. ### 44. Well Organized Notebook and Code Space that Efficiently Blasts Through Visualization and Latex Work **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Small-Business (50 or fewer emp.) **Reviewed Date:** November 07, 2024 **What do you like best about Deepnote?** The most helpful: The embedded Chat GPT AI enables me to move extremely quickly to do complex visualizations across meshgrids, quickly turn collected data into data frames, and after providing clear examples of the backend code or functions I would like to run, is able to permute or iron out my work. Basically Deepnote lets me work really quickly, given I know what I'm trying, and then share the results cleanly. Saves me so much time. **What do you dislike about Deepnote?** It used to be that the AI generation window would cover error messages. I believe that's been improved. In addition it used to be that as you typed text it would always try to autocomplete, which would be distracting for non code text. That has also been made optional. Right now it's that the performance for long notebooks ("Deep Notebooks") can get really bad, especially on Chrome on Linux. It can get to the point where I can't open some of my notebooks in Chrome because they will just crash the browser. Also, I would like the table of contents feature to be an optional hover window so I can see it anywhere. For DeepNotes with lots of variables, having to scroll through all the variables to get to the table of contents defeats the purpose of the table of contents in the first place. **What problems is Deepnote solving and how is that benefiting you?** I use Deepnote for many different problems. 1) Performing visualizations, analysis, and developing models or conclusions. Typically I import data into dataframes and then use that data to perform engineering calculations or train models. I then do visualizations of my results. A common case I use it for is optimization for controls and design synthesis problems. I then mix my work with headers and Markdown for organization, and then share my notebooks as Apps. Deepnote mostly handles all of the very tedious time consuming steps (Data wrangling and plotting) via its ChatGPT integration. Chat GPT is not currently trustable for my mission critical backend optimization or modelling code, but once I have written backend functions, it is able to use those examples, and Deepnote then is able to help me quickly refine and visualize until I get my desired results. ### 45. Deepnote Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 13, 2024 **What do you like best about Deepnote?** I really like how easy it is in Deepnote to utilize both SQL and Python in the same notebook. I like the ability to build out datasets with a SQL query and then reference them with Python to manipulate the data. I also like the deepnote AI features that allow for easy editing and creation of code even faster than it would be if I was troubleshooting. **What do you dislike about Deepnote?** I think that the scheduling features on Deepnote are still a little bit limited, with an inability to schedule multiple notebooks in one project. I do like the addition of CRON scheduling, though. **What problems is Deepnote solving and how is that benefiting you?** Deepnote solves the issue of trying to use multiple coding languages in the same project. This benefits me because I am able to easily pull datasets using SQL and then easily manipulate that data using Python rather than writing extended SQL queries that can become very complex. ### 46. Finally a tool that does what I need it to do **Rating:** 5.0/5.0 stars **Reviewed by:** Bruno D. | Co-founder - Head of Data, Small-Business (50 or fewer emp.) **Reviewed Date:** October 30, 2024 **What do you like best about Deepnote?** It allows me to very easily schedule jobs and run scripts without having to do hours of refactoring. Super easy to use and get set up. Best value for money in the market. The ai companion is helpful to debug code as well. **What do you dislike about Deepnote?** The fact that you can only scehdule 1 notebook per project makes it clunky The project-based hierarchy of the tool is a little confusing, it took me a little while to learn how to navigate the tool **What problems is Deepnote solving and how is that benefiting you?** It allows to me to run complex scripts on a schedule and get automation early in projects. It saves me a lot of time and effort by allowing to automate a lot of taljs very easily ### 47. Really great user experience **Rating:** 5.0/5.0 stars **Reviewed by:** Valentina C. | Head of Design, Mid-Market (51-1000 emp.) **Reviewed Date:** December 17, 2024 **What do you like best about Deepnote?** The user interface is very simple and easy to understand even if you are not a developer. I like the they have preinstalled phyton libraries that saves me time. And I also like the debugging tools. **What do you dislike about Deepnote?** If I'm working with a big dataset, the performance decrease and the other inconvinience is the fact that you have to be online always. **What problems is Deepnote solving and how is that benefiting you?** The fact that I can create analytics reports so easily, allows me to make decisions about my business quickly.The interactive dashboards serve as a presentation tool for meetings with other decision makers. ### 48. The interface has been very interactive and the processing speed has been impressive. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Mid-Market (51-1000 emp.) **Reviewed Date:** July 27, 2025 **What do you like best about Deepnote?** Ease of sharing codes with colleagues and faculty **What do you dislike about Deepnote?** The default projects that load with every new workspace **What problems is Deepnote solving and how is that benefiting you?** Energy data analysis ### 49. Great Tool for SQL and Python Coding, But Needs Improvements in Library Management and Bug Fixing **Rating:** 4.5/5.0 stars **Reviewed by:** Adrian L. | Principal Product Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** November 05, 2024 **What do you like best about Deepnote?** Increased Speed: Writing SQL and Python has become 20x faster for me thanks to Deepnote. I can focus on analysis rather than getting bogged down in coding syntax. Intelligent Code Assistance: Deepnote understands syntax and functions that I might not be aware of, making coding feel more intuitive. I rarely write SQL or Python code from scratch anymore. Library Identification: The platform efficiently identifies the necessary libraries for my projects, saving me time and reducing errors. Human Language to Code Translation: I’m impressed by its ability to translate human language into code with sophistication, making it accessible for users of varying coding expertise. **What do you dislike about Deepnote?** SQL Variants Recognition: Sometimes, Deepnote struggles to recognize the different variants of SQL depending on the specific database provider, leading to compatibility issues with certain functions. Import Library Management: The automatic generation of import statements can be problematic, as it sometimes puts imports inline. This can cause issues since we shouldn’t re-import libraries every time we run code. It would be helpful if Deepnote provided a way to manage library imports as a starting command for each session. AI Bug Fixing Reliability: The AI assistance for bug fixing isn't always reliable, and I often find myself fixing bugs manually, which can be time-consuming. **What problems is Deepnote solving and how is that benefiting you?** Deepnote is solving several key problems in my data analysis workflow. Firstly, it allows me to quickly perform analyses without the need to think about the initial SQL or Python commands, which significantly speeds up my process. About 90% of the time, the code that Deepnote generates is good enough for my needs, enabling me to focus on analyzing the data rather than getting bogged down in coding specifics. When the auto-generated code isn’t exactly what I want, I can easily refine it due to my background in SQL and Python. ### 50. I love the UI and AI integration **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** October 31, 2024 **What do you like best about Deepnote?** The generative AI function saves me a lot of time writing codes and helps me to explain the logic and the result of some statistical tests. The UI is also clean and neat so that I can navigate easily. The App feature is a plus, as it allows us to share our work with stakeholders without the need for extra licenses. The integration is easy with AWS service as long as you have the correct role and permission with your AWS account. The implementation is just like jupyter notebook which is simple to use and organised very structurally. It's really hands-on so I use it for almost all the projects. In terms of customer support, my team met the Deepnote team once and they are very knowledgeable and willing to share how to use Deepnote the best way. They also took my suggestion into account and I am so glad that my feedback is being heard. **What do you dislike about Deepnote?** Sometimes the speed of running the notebook is slow. Also, big files cannot be uploaded directly. **What problems is Deepnote solving and how is that benefiting you?** Deepnote provides a collaboration platform for my team where we can share our works and feedback without the need of sending the files around. It also allows us to create "App" so that we can make some data products for the stakeholders easily and this was nearly impossible with other tools effortlessly. ## 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=3§ion=pricing&secure%5Bexpires_at%5D=2026-05-26+15%3A30%3A43+-0500&secure%5Bsession_id%5D=be0b2eb5-8942-438c-8383-34ac11e4718e&secure%5Btoken%5D=a84dca439c6ee5296d0cc1bfb10a6a382ce9a3beb6d4ec74afef8688b2c7e853&format=llm_user) ## Deepnote Integrations - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [Airtable](https://www.g2.com/products/airtable/reviews) - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews) - 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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 - 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