# 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:** 381 ## 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 Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind.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 enjoy the **ease of use** of Deepnote, facilitating collaboration and streamlining tasks effectively. (170 reviews) - Users value the **collaboration features** of Deepnote, enhancing teamwork and simplifying data analysis across teams. (120 reviews) - Users love the **easy integrations** with tools like Redshift and S3, making data connection straightforward. (76 reviews) - Users value the **ease of collaboration** in Deepnote, enhancing teamwork and streamlining data generation processes. (76 reviews) - Users value the **efficient data management** in Deepnote, simplifying integration, visualization, and workflow automation seamlessly. (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 experience **slow performance** with large datasets, leading to frustrating delays during usage and initialization. (61 reviews) - Users highlight **limited features** in Deepnote, citing missing functionalities that could enhance usability and collaboration. (32 reviews) - Users experience **data management issues** in Deepnote, affecting context retention and library import handling during projects. (29 reviews) - Users find **missing features** in Deepnote, particularly lacking SQL querying and default cell replay functionality. (26 reviews) - Users note a **lack of features** in Deepnote, wishing for improved context awareness and enhanced visualization tools. (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. Clarity for complex nutrition work **Rating:** 5.0/5.0 stars **Reviewed by:** Marine A. | Head of Growth, Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2026 **What do you like best about Deepnote?** Working with Deepnote feels like upgrading from scattered notes to clear, structured thinking. At pro-nutrition.fr, where data can get complex fast, it helps turn raw information into real understanding. Itā€™s not just about analysis, itā€™s about clarity, flow, and collaboration. Deepnote doesnā€™t just speed things up, it deepens the way you think. highly recommend it **What do you dislike about Deepnote?** One downside of Deepnote is that it can feel a bit heavy for quick, simple tasks, especially if you just want to run a fast analysis without the full collaborative setup. It really shines in team environments, but for solo, lightweight work, it might be more than you need. **What problems is Deepnote solving and how is that benefiting you?** At pro-nutrition, it keeps everything, data, analysis, insights, in one place, so I can focus on understanding patterns and making better, more personalized recommendations. ### 2. Deepnoteā€™s Real-Time Collaboration and Cloud Notebooks Shine **Rating:** 5.0/5.0 stars **Reviewed by:** Jolina Mae A. | Customer service representatives, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2026 **What do you like best about Deepnote?** 10 character that good in deepnote If you mean good characters (features) in Deepnote, here are 10 strong ones: Real-time collaboration ā€“ multiple users can edit notebooks simultaneously (like Google Docs). Cloud-based ā€“ no need to install; works directly in your browser. Integrated environment ā€“ supports Python, SQL, and more in one place. Auto-saving ā€“ your work is saved continuously. Version history ā€“ track and restore previous notebook versions. Easy sharing ā€“ share projects via link with permissions. Built-in data connections ā€“ connect to databases, APIs, and files easily. Interactive outputs ā€“ supports charts, tables, and visualizations. Commenting system ā€“ collaborate through comments inside notebooks. Environment management ā€“ control packages and dependencies easily **What do you dislike about Deepnote?** Requires internet ā€“ since itā€™s cloud-based, you canā€™t use it offline. Limited free plan ā€“ some features and resources are restricted unless you upgrade. Performance limits ā€“ heavy computations can be slower compared to local machines **What problems is Deepnote solving and how is that benefiting you?** Deepnote is mainly solving problems in data work, coding, and team collaborationā€”especially for analysts, students, and developers. ### 3. Elevates Team Collaboration with Powerful Integrations and Visualisations **Rating:** 4.0/5.0 stars **Reviewed by:** Cormac D. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** January 09, 2026 **What do you like best about Deepnote?** Having used Google Colab for many years, Deepnote kicks things up a notch in terms of capabilities. It's unlocked greater insights across the team by having persistent storage, easier external integrations and fantastic visualisation capabilities, allowing us to present data more professionally than before. It's also closer to the experience of using Google Docs where multiple team mates can edit in real time. Easy to use and scales well from junior to senior needs. **What do you dislike about Deepnote?** It does what it does great, though I'll still use Colab for my own personal work as I find it easier to get going quickly, whereas Deepnotes strengths lie with collaboration across a team. **What problems is Deepnote solving and how is that benefiting you?** The key one being collaboration across the team is far easier with Deepnote than Colab, which unlocks greater insights that can be presented more professionally and shared easily. ### 4. Intuitive Interface and Developer-Friendly Experience **Rating:** 4.0/5.0 stars **Reviewed by:** rehan a. | Web Development Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** January 09, 2026 **What do you like best about Deepnote?** Easy to use interface, similarity to Google colab makes it easier for developers to build scripts and models. Also it's integrations with google products, and many datawarehouses, makes it easier to connect and perform ML related tasks on our own data directly from warehouse (Snowflake for us) **What do you dislike about Deepnote?** Deepnoteā€™s AI is useful when working with individual blocks, but it often falls short in terms of "agent-like" project awareness. It can have difficulty maintaining context throughout an entire notebook, occasionally overlooking explicit instructions or losing track of variables defined in cells that are farther apart. This is especially noticeable when compared to more advanced AI-native IDEs like Cursor. **What problems is Deepnote solving and how is that benefiting you?** Automating manual tasks like user onboarding to our system via adding them to various platforms. For data science and ML models to forecast important metrics. ### 5. Easy collaboration with AI-Powered coding assistance **Rating:** 4.5/5.0 stars **Reviewed by:** Harrison T. | Revenue Systems Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about Deepnote?** Collaboration features that makes it easy to work on a project within the team and AI-driven coding suggestions and assistance **What do you dislike about Deepnote?** Sometimes it can be slow with large data sets **What problems is Deepnote solving and how is that benefiting you?** Ability to code using natural language and the iteration process behind shipping code with the support, resources, and interface that makes it straightforward to use ### 6. Effective AI and Smooth Python-SQL Integration, But Room for Growth **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** January 08, 2026 **What do you like best about Deepnote?** I think the AI is, in general, very effective. It creates graphs very well. I like the easy integration of Python and SQL. I am not experienced in Python but I am in SQL. It's nice to be able to move back and forth and use the AI to create good visualizations. **What do you dislike about Deepnote?** Sometimes the AI agent can go a bit crazy and make a bunch of relatively useless blocks of code. Also, it is really annoying that I can't expand the menu bar to see project names. Sometimes we have similarly named projects that I can't see the full name of. **What problems is Deepnote solving and how is that benefiting you?** As I mentioned, I am not an experienced Python coder. There are a number of things that Python does better than SQL and so it's nice to have that easy integration. I came from using BigQuery and I didn't have Python integrated there. ### 7. Empowers Analysts to Focus on Insights, Not Administration **Rating:** 4.0/5.0 stars **Reviewed by:** Jerome W. | AI Research Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 07, 2026 **What do you like best about Deepnote?** I appreciate that it enables analysts and data scientists to concentrate on their analysis rather than spending time managing their collaborative development environment. **What do you dislike about Deepnote?** The only drawback Iā€™ve noticed so far is that, to my knowledge, there isnā€™t currently a Claude Code integration available. I think everyone would appreciate this! **What problems is Deepnote solving and how is that benefiting you?** Deepnote allows my colleagues to start working with data as soon as it arrives in our data warehouse, and makes it simple for them to share their analyses with others. I appreciate how it removes many of the routine obstacles that usually consume time and energy during data analysis. ### 8. Easy to Use, Notebook-Generated Documentation Shines **Rating:** 5.0/5.0 stars **Reviewed by:** Pedro C. | CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 19, 2026 **What do you like best about Deepnote?** I like the ease of use and the ā€œdocumentationā€ generated by the notebooks. I mainly consume dashboards created by the product team, but I can quickly verify how they arrived at the numbers and the conclusions theyā€™re presenting. **What do you dislike about Deepnote?** I would like to be able to interact with the code in a editor of my choice. **What problems is Deepnote solving and how is that benefiting you?** It allows the creation of analysis over our data lake with easy, allowing anyone in our team to create a custom analysis with easy. Sharing and understand the analysis are also great. ### 9. Empowering Data Analytics Teams to Experiment and Build Data Apps **Rating:** 5.0/5.0 stars **Reviewed by:** Rafael A. | CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 13, 2026 **What do you like best about Deepnote?** Itā€™s helping improve the teamā€™s capabilities in Data Analytics and enabling the Data team to experiment and build data apps. **What do you dislike about Deepnote?** AI Assist is still quite limited. It would be much more useful if it included additional features that support building AI apps, or if it made it easier to integrate AI capabilities into more traditional data apps. The dashboard and data visualization features also need improvement to provide a better end-user experience, especially in terms of usability and overall polish. **What problems is Deepnote solving and how is that benefiting you?** Changing the data team culture and profile. ### 10. Streamlined, Dedicated Environment Would Elevate Cross-Language Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.) **Reviewed Date:** January 27, 2026 **What do you like best about Deepnote?** Deepnote's ability to have multiple people working on a single document at the same time is a must-have for data science or analytics teams. It's like a Google Docs that came to Jupyter Notebook. This makes it easy to work across teams and streamline the workflow with little friction, despite daily use. Deepnote's AI integration also means that we can focus on just writing the code and leave it up to the AI to automate the syntax hygiene and documentation. **What do you dislike about Deepnote?** The integration across different coding languages like queuring a data frame in SQL, then using it in R, or importing in custom or proprietary functions from a corporate GitHub is either missing, difficult to implement, or clunky. In these situations, it would be great to have it more streamlined and have a more dedicated environment running in the background to mimic the UI of other cloud services, like Posit. **What problems is Deepnote solving and how is that benefiting you?** One of the biggest challenges in any data science or analytics team is the friction that comes up when working together on code and syntax. Too often, that friction leads to a handoff style of collaboration, where people pass progress back and forth instead of working in parallel. Deepnote helps enable more real-time collaboration through comments and live viewing of the work as itā€™s being done. ### 11. Great Collaboration and AI Features, but Pricing Limits Wider Access **Rating:** 5.0/5.0 stars **Reviewed by:** Isaac L. | Senior Data and AI Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** October 14, 2025 **What do you like best about Deepnote?** I love that Deepnote enables me and my team to share work and collaborate, thus building off of each other's strengths. I have loved the AI automations on Deepnote that enable me to ask a question in natural language and for Deepnote to generate working code for me to run out of the box. **What do you dislike about Deepnote?** Deepnote could do better to create more affordable options for teams. The price for example means only a few members in our organisation have access e.g. I can't share my notebook with people outside the data team as they aren't subscribed. **What problems is Deepnote solving and how is that benefiting you?** Deepnote helps me perform my Data Science and Machine Learning tasks, integrating everything I need from data retrieval from our SQL databases, running analyses, presenting findings, and building simulation apps. ### 12. Powerful Query Processing and Visualization in One Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Guillermo F. | Capital Markets & Risk Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** January 12, 2026 **What do you like best about Deepnote?** The power in the query processing. It's great when doing heavy queries and data visualizations - all in one. **What do you dislike about Deepnote?** You should create a feature on downloading .csv files or .xlsx each query or data results. That would be helpful to later export it to sheets. **What problems is Deepnote solving and how is that benefiting you?** I appreciate having an all-in-one data analytics platform that allows me to create complex queries and connect them directly to my database. This integration makes it much easier to manage and analyze my data efficiently. ### 13. Reproducible experiments and analysis with Deepnote **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** January 23, 2026 **What do you like best about Deepnote?** Moving to Deepnote has transformed how we collaborate and share analysis, research, and experiments at PredictAP. The integrations allow us to connect to different data sources and easily run analysis with the help of AI-generated scripts. Notebooks are easily accessible, making experiments more reproducible without the overhead of setting up developer environments. **What do you dislike about Deepnote?** The AI agent is helpful, but I still prefer using Claude Code directly. When prompting the AI agent in Deepnote, it creates many additional cells, which makes for a jarring experienceā€”I often have to go back and clean them up. My workflow currently consists mainly of editing scripts in Claude Code and then copying them back into Deepnote. For data analysis, however, I do find the AI agent helpful for generating quick visualization scripts. **What problems is Deepnote solving and how is that benefiting you?** Solving the ability to reproduce data analysis and experimentation - This helps us share and build on learnings throughout the team ### 14. Deepnote Makes Data Work Simple and Organized **Rating:** 5.0/5.0 stars **Reviewed by:** MarĆ­a B. | Senior Associate Business and Revenue Ops, Mid-Market (51-1000 emp.) **Reviewed Date:** August 14, 2025 **What do you like best about Deepnote?** I really enjoy using Deepnote with my team. I like how I can work across different notebooks and easily control access ā€” for example, giving certain team members the ability to see results without touching or seeing the code. The ability to copy and share a link to a specific block is incredibly useful, and the overall organization makes collaboration seamless. Even though Iā€™m not a coding expert, Deepnote feels very intuitive and user-friendly, which makes working with data much easier. **What do you dislike about Deepnote?** So far, I havenā€™t found anything that significantly hinders my work ā€” it meets my needs very well. However,sometimes performance slows with very large datasets, but itā€™s definitely not a frequent issue for me. **What problems is Deepnote solving and how is that benefiting you?** Deepnote helps me keep all the code I need organized in one place and accessible to my team. It makes it very easy to share results, collaborate, and control who can view or edit the code. This saves time, keeps our work consistent, and improves team efficiency ### 15. Deepnote Elevates Our Data Science Workflow **Rating:** 5.0/5.0 stars **Reviewed by:** Arielle G. | Product Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** January 12, 2026 **What do you like best about Deepnote?** We use Deepnote for data science at our company, and itā€™s been a great experience. Itā€™s easy and intuitive to use, and the UX is clean and well-designed. I also really like the color scheme. **What do you dislike about Deepnote?** Larger notebooks can occasionally be slow to process. Even so, it hasn't caused a significant problem for our daily operations. **What problems is Deepnote solving and how is that benefiting you?** Deepnote is helping us process data in real time at a faster speed than any other platform we considered using. ### 16. Great notebook and automation tool that i've been using as a member of the data and analytics team **Rating:** 4.5/5.0 stars **Reviewed by:** Dustin A. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 11, 2025 **What do you like best about Deepnote?** Combining of SQL blocks and python code is very seamless and easy to use, i believe the user experience overall was pretty good it's easy for me to get the hang of it after just an hour of using and exploration. As well as how easy it is to integrate different platforms such as snowflake and Open AI to use into my projects **What do you dislike about Deepnote?** the deepnote AI isn't too helpful at times i would give it explicit information for example not to change a specific part of the code yet it wouldn't read the prompt and change it anyway, it also has trouble sometimes reading the whole notebook but is okay with understanding a block. I would like an easier way for dependency blocks to be a thing where there could be a flowchart type flow from top to bottom where it doesn't have to trigger every single block created. **What problems is Deepnote solving and how is that benefiting you?** Business automations and ai integration, the combination of SQL blocks and python code made it much easier for me to work on a solution ### 17. Collaborative and Insightful Data Analysis Tool with Room for Workflow Improvements **Rating:** 4.5/5.0 stars **Reviewed by:** Julia C. | Credit and Fraud Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** August 11, 2025 **What do you like best about Deepnote?** Deepnote is very intuitive and easy to get started with, which made the onboarding process smooth. Itā€™s excellent for conducting analyses collaboratively and reaching conclusions together. Over time, the AI begins to understand my hypotheses and the structure of the database, which leads to increasingly relevant and insightful suggestions. Itā€™s a powerful companion for exploratory analysis and decision-making. **What do you dislike about Deepnote?** At the beginning, it requires more detailed explanations of your hypotheses and how the dataset works before the AI can provide useful suggestions. The prompts need to be very specificā€”for example, instead of saying ā€œuse the table above to create a scatter plot,ā€ you need to reference the exact table name. Sometimes the AI freezes and runs indefinitely, requiring me to reset the notebook. I also find it difficult to stay organized when too many charts are generated, as I need to scroll a lot to find what Iā€™m looking for. It would be very useful to have a dedicated space to organize the analysis into a document that combines written explanations with the corresponding charts. **What problems is Deepnote solving and how is that benefiting you?** I am an advanced SQL user but have limited knowledge of Python. I know that many tasksā€”such as certain types of visualizations, projections, and data structuringā€”are easier to do in Python. Often, I already know the analysis I want to perform but donā€™t know how to technically implement it. Deepnote helps bridge this gap: by explaining my hypothesis and desired analysis in natural language, the AI can build the technical components for me. Itā€™s still important to review the outputs critically to ensure the results match my intentions. For this reason, Deepnote is especially valuable for users who already have an analytical background and strong critical thinking skills. ### 18. Effortless Python App Deployment with Deepnote's Intuitive Features **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Small-Business (50 or fewer emp.) **Reviewed Date:** January 09, 2026 **What do you like best about Deepnote?** When I was looking to deploy Python apps and dashboards for a course, I found that there were few solutions easy for students to deploy and share. Deepnote's apps and dataframe visualizations are really neat and easy to deploy. I also really like the GitHub integration that makes it easy to share a project, rather than a single notebook. **What do you dislike about Deepnote?** The environments are very opinionated and sometimes clash with projects that I've developed elsewhere. I'm seeing really fast development in this space -- especially, with the new VSCode support. **What problems is Deepnote solving and how is that benefiting you?** Data apps for students. Increasingly, though, it looks like I'll be able to use Deepnote for ML development requiring some GPU support. ### 19. A great way to collaborate for data analysts and scientists **Rating:** 4.5/5.0 stars **Reviewed by:** Meena P. | Analytics Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** August 04, 2025 **What do you like best about Deepnote?** We've been using Deepnote for a good while now, and my favourite feature is the ability to quickly and easily share code and visualisations with colleagues. This is really important to us as we use Deepnote for all our deeper A/B testing analyses, so being able to share results within the analytics team and also with product teams is super important. Recent AI-enabled features are a great add-on, although I'm yet to explore these fully. I also love being able to load in data from multiple sources and combine them in my notebooks. **What do you dislike about Deepnote?** One thing that could be improved in Deepnote is the ability to find and store notebooks in projects more easily. With many analysts and scientists all using Deepnote, our folder structure has become pretty messy, especially since we don't have strong naming conventions for files. We have a lot of "Untitled Projects" laying around - some automation to help organise and tidy this up would be a great addition to a strong tool. **What problems is Deepnote solving and how is that benefiting you?** We use Deepnote for all of our in-depth analytics work, especially around A/B testing (power calculations, simulations, impact analysis, correlations etc.) ### 20. Deepnote: Seamless Collaboration and Effortless Cloud-Based Data Science **Rating:** 4.5/5.0 stars **Reviewed by:** Alekh B. | Senior Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** August 03, 2025 **What do you like best about Deepnote?** Deepnote has a simple, unobtrusive UI that keeps the buttons out of the way, allowing you to focus on coding. The real-time collaboration features are outstanding, making it easy for multiple people to code together simultaneously. The main reason I prefer Deepnote is that it provides a cloud-based space for all my data science work, making it convenient to store, share, and manage even large files. The Deepnote team pays great attention to user convenience. For instance, after using pip to install a package, Deepnote prompts you to add it to requirements.txt automatically. Then, whenever you restart the machine, it will auto-install that package for you. These small touches save a lot of time and mental effort. **What do you dislike about Deepnote?** I find that Deepnoteā€™s two main drawbacks are its slow performance and the constant need for an internet connection. I often experience lag, especially when collaborating with others or working on large, complex projects. This sluggishness disrupts my workflow and takes away from the collaborative strengths that drew me to Deepnote in the first place. Also, since Deepnote operates entirely in the cloud, I have to stay connected to the internet at all times. If my internet connection drops, I immediately lose access to my projects and dataā€”unlike when I use local tools like Jupyter Notebooks, which let me work offline. These limitations sometimes interrupt my productivity and make Deepnote less suitable for me when I need instant feedback or the flexibility to work without an internet connection. **What problems is Deepnote solving and how is that benefiting you?** The two biggest benefits Deepnote gives me are seamless real-time collaboration and effortless access to my projects in the cloud. I love being able to work together with teammates in the same notebook, instantly sharing ideas, code, and resultsā€”this truly boosts our productivity and makes teamwork easy. At the same time, having all my data science projects accessible from anywhere means I never have to worry about setting up my environment or managing files locally; I can just log in and get to work, no matter what device Iā€™m using. This combination makes my workflow simpler, faster, and much more flexible. ### 21. Review of Deepnote **Rating:** 4.5/5.0 stars **Reviewed by:** ģž¬ķ˜ø . | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** August 27, 2025 **What do you like best about Deepnote?** Coming from Jupyter Notebook, I found Deepnote much more convenient for research in many ways. It was my first time doing research on a fully web-based platform, and I was very impressedā€”it felt far superior to Colab. File management and the overall experience stood out as particularly impressive. **What do you dislike about Deepnote?** When compared to Cursor, the AI features feel very underpowered. The lack of an agent-like mode makes the workflow feel significantly less convenient. **What problems is Deepnote solving and how is that benefiting you?** Deepnote is helping me streamline restaurant data analysis by providing a collaborative, cloud-based environment where everything is organized and easy to access. Instead of dealing with the limitations of local Jupyter notebooks or Colab, I can manage files, run analyses, and share results much more efficiently. This makes it easier to track performance metrics, experiment with different models, and ultimately make more data-driven decisions for the business. ### 22. Very efficient tool **Rating:** 4.5/5.0 stars **Reviewed by:** Ana Clara d. | Business Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** I really enjoyed using the platform, especially the integrated AI. I found the suggestions it provides to continue analyses very relevant and helpful, particularly when dealing with ambiguous scenarios. Another aspect I appreciate is that when the AI doesn't reach a satisfactory answer, it makes another attempt instead of stopping. Additionally, I value the auto-completion feature for coding, as it significantly speeds up the workflow. **What do you dislike about Deepnote?** One point I believe could be improved is the need to frequently re-run the code because the tables are no longer saved. It feels like the time before they expire is too short. Another improvement would be the addition of a pivot table option in the available charting features. Lastly, having a functionality to hide code cells that we no longer need to edit would make the workspace much cleaner and easier to navigate. **What problems is Deepnote solving and how is that benefiting you?** Before using Deepnote, I worked with another platform that also offered integrated AI and similar visualization tools. However, the major differentiator for me is Deepnoteā€™s AI capabilities. While the previous platform had AI, its performance was inconsistent and often inaccurate. Deepnote, on the other hand, provides a highly coherent and reliable AI experience, with very few instances of hallucinations or irrelevant suggestions. This makes my workflow more efficient, as I can trust the AI's outputs and recommendations, reducing the time spent double-checking or reworking results. Overall, this significantly enhances the quality and speed of my analyses. ### 23. easy to use **Rating:** 4.0/5.0 stars **Reviewed by:** Glecy B. | Head of Customer Support, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** Deepnote is great because it lets multiple people work on the same notebook at the same time, just like Google Docs. It connects easily to tools like BigQuery, Google Sheets, and other databases without complicated setup. Since it runs in the cloud, there's no need to install anythingā€”your work is always saved and accessible anywhere. **What do you dislike about Deepnote?** Sometimes, Deepnote can be slower to load or run heavy computations compared to local notebooks. It also requires a stable internet connection since it's fully cloud-based. Lastly, while it's great for collaboration, some advanced users may find it less flexible than using raw Jupyter in their own environment. **What problems is Deepnote solving and how is that benefiting you?** Deepnote solves the problem of collaboration in data science by allowing multiple users to work on the same notebook in real time. It also makes it easier to connect to data sources and share insights without switching tools. This helps teams work faster, stay organized, and make data-driven decisions more efficiently. ### 24. Coding made simple with DeepNote **Rating:** 5.0/5.0 stars **Reviewed by:** Sam F. | Technology Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** August 06, 2025 **What do you like best about Deepnote?** As someone with basic programming experience, DeepNote has been a great tool for helping me ease into Python coding. It offers a simple and intuitive way to get familiar with Pythonā€”not just as a new platform, but also as a practical tool to write the code I need. One of the features I love most is the integration with AI tools. Being able to ask a question and have the code generated instantly is incredibly empowering and time-saving. So, ease of use and ease of implementation and integration are key advantages of DeepNote in my opinion. **What do you dislike about Deepnote?** So far, I haven't seen any downsides. I'm excited to continue using DeepNote and hope my experience remains just as smooth and productive in the future. **What problems is Deepnote solving and how is that benefiting you?** As someone with basic programming experience, DeepNote has been a great tool for helping me ease into coding for monitoring BESS sites. ### 25. Effortless Collaboration and Real-Time Editing with Deepnote **Rating:** 5.0/5.0 stars **Reviewed by:** Muhammad S. | Postdoctoral Researcher, Small-Business (50 or fewer emp.) **Reviewed Date:** October 14, 2025 **What do you like best about Deepnote?** Deepnote makes collaboration on data science and research projects effortless. I really like its real-time editing, version control, and easy cloud-based setup. Itā€™s great for teaching, code reviews, and sharing results without complex configuration. **What do you dislike about Deepnote?** Sometimes, large datasets can cause slower performance, and offline access options are limited. **What problems is Deepnote solving and how is that benefiting you?** Deepnote makes collaboration on coding, data analysis, and documentation effortless. It helps me and my team work on the same notebooks in real time without worrying about version conflicts or environment setup. Itā€™s also great for teaching and research because I can easily share code and visualizations with others. This saves a lot of time and makes projects more organized and reproducible. ### 26. My experience as an Account Manager with Deepnote **Rating:** 5.0/5.0 stars **Reviewed by:** Alejandro Q. | Account Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Deepnote?** Deepnote has been one of the most useful tools in my daily workflow. As an Account Manager in a SaaS company, having access to accurate information is essential for making decisions. Deepnote has helped me make data-driven decisions by providing clear numbers and actionable insights, allowing me to rely on facts and accurate projections. **What do you dislike about Deepnote?** Sometimes, it takes longer than it should to load the data, especially early in the mornings. **What problems is Deepnote solving and how is that benefiting you?** When I joined the company, I was basically blind when it came to my accounts. I had no real context, just some feedback from coworkers, so the lack of information was my biggest pain point. Deepnote allowed me to identify behavioral patterns across my accounts and begin using data to proactively reach out to clients. As a result, I was able to increase revenue starting from my very first month. ### 27. Seamless Integrations and Effortless AI Assistance **Rating:** 4.5/5.0 stars **Reviewed by:** ali o. | Co-Founder, Product, Small-Business (50 or fewer emp.) **Reviewed Date:** December 16, 2025 **What do you like best about Deepnote?** I appreciate how the AI Assistant integrates seamlessly, both within the Notebook style and as a sidebar. In addition, its native integrations with third-party services make it easy to use the tools you want directly in your notebook. **What do you dislike about Deepnote?** It's not that I dislike it; I just hope they enhance the agent's capabilities so it can operate more autonomously. I would also like to see improvements in how it addresses issues, especially when it suggests fixes on third-party platforms accessed through the notebook. **What problems is Deepnote solving and how is that benefiting you?** I am able to connect my data and computing resources to run machine learning and AI development tasks without having to worry about managing the underlying infrastructure. ### 28. Modern Python Coding with Seamless Integrations and Easy Collaboration **Rating:** 4.0/5.0 stars **Reviewed by:** Kelvin C. | Director, Small-Business (50 or fewer emp.) **Reviewed Date:** January 22, 2026 **What do you like best about Deepnote?** This is a very modern way to code in Python and integrate with other platforms and databases. It also makes it easy to work with others at the same time. **What do you dislike about Deepnote?** If version control for the notebook were available, it would be perfect. **What problems is Deepnote solving and how is that benefiting you?** I use Deepnote as the backend for my logic and automation. ### 29. Simple, User-Friendly Interface for Both Technical and Non-Technical Users **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consumer Services | Mid-Market (51-1000 emp.) **Reviewed Date:** January 13, 2026 **What do you like best about Deepnote?** I like that it's very useable for both technical and non-technical users. The interface is simple to use and non-technical users can get exactly what they want on the front end. **What do you dislike about Deepnote?** There's not much that I can complain about Deepnote right now. It has performed to my standards. **What problems is Deepnote solving and how is that benefiting you?** I need to be able to see data and analyze data that is accessible for non-technical users. I need a quick dashboard, I need it to connect to a database so that I can generate dashboards and instantly understand the data through graphs. ### 30. Powerful and versatile, good for both solo projects and client-facing work **Rating:** 5.0/5.0 stars **Reviewed by:** Matthew T. | Data Designer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 24, 2025 **What do you like best about Deepnote?** I've used Deepnote for everything from one-off dashboards for clients to big solo projects that involve stitching together data from multiple sources. It allows easy switching between Python and SQL in the same notebook (and maybe R? I haven't tried that yet though!). It is also straightforward to integrate external data from Sheets or Snowflake or what-have-you. There is also a lot of options for power users who need more computing power, though I have found the out-of-the-box ones to be plenty powerful for most of my needs. The interface is clean and intuitive, and there is good documentation. The Deepnote team is busy and updates and improvements come regularly. I've had limited interaction with customer service, but the couple times I have they have been fast and helpful and understanding. **What do you dislike about Deepnote?** Some nitpicky things . . . The built-in charts have been improving, but I'd still love LOTs more in this department, especially for snazzy interactive charts. They also do not yet support iPywidgets, which I've frequently wanted for small projects. They provide a smaller subset of similar input tools built-in, but not nearly enough. Lastly, I'd love slightly better notebook layout tools, specifically the ability to create collapsible sections without fiddling with HTML. **What problems is Deepnote solving and how is that benefiting you?** Deepnote has been the core tool I've been using for a large complex data-heavy publishing project. It is great at organizing the project and providing easy methods for using external data. The built-in AI has been helpful (though it sometimes gets "loop-y" in its solutions). I have also used it a number of times for contract data analysis work and find it a great all-in-one tool for doing the actual work and then creating reports or dashboards for sharing the findings with clients. ### 31. Easy Setup, Powerful AI Assistance **Rating:** 4.5/5.0 stars **Reviewed by:** Viola M. | Data Scientist, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 27, 2025 **What do you like best about Deepnote?** The platform is easy to set up, and I appreciate being able to use both SQL and Python. Deepnote AI is also extremely helpful, especially when it comes to debugging and quickly visualizing data. **What do you dislike about Deepnote?** There isn't much to add at this point, but I'm interested to see how Deepnote AI develops in the future. Occasionally, it has difficulty keeping up with multiple follow-up requests, yet overall, my experience has been positive. **What problems is Deepnote solving and how is that benefiting you?** I used it to assist me with a quick data analysis using DeepAI, and it worked well. ### 32. Best notebooks I've found **Rating:** 5.0/5.0 stars **Reviewed by:** David K. | Founder and Advisor, Small-Business (50 or fewer emp.) **Reviewed Date:** August 21, 2025 **What do you like best about Deepnote?** I've used several different notebooks: jupyter, databricks, colab, kubeflow. Out of everything I have tried, Deepnote gives me what I need. It is easiest for collaboration, easiest for scaling appropriately, easiest for choosing different environments and getting set up. It is just what I need, and I hope they keep improving it in these practical ways. **What do you dislike about Deepnote?** It costs a bit much for the first tier past free. I am an individual, and not comfortable paying so much per month just to collaborate with a few people. It should cost about half that, to be more comfortable to individuals. I'd pay $25 per month, not $50. **What problems is Deepnote solving and how is that benefiting you?** I use it for whatever I need in data science (ML, AI, network science, prototyping) ### 33. Sleek, User-Friendly UI Perfect for Lean Data Teams **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Commercial Real Estate | Small-Business (50 or fewer emp.) **Reviewed Date:** January 12, 2026 **What do you like best about Deepnote?** Simplicity and user friendly UI - reason why I signed up. **What do you dislike about Deepnote?** I was using for ETL pipeline to snowflake and supabase. Timing of workbook runs does not support a full production-ready solution. Not sure why we cannot use multiple run times. UI is great, very simple. Using Prefect for ETL transformations now, no need for deepnote syncs. Otherwise, great product for lean startups and data sci teams. **What problems is Deepnote solving and how is that benefiting you?** Simplicty and clean UI. Lambda AWS is disgusting - too many configs and too enterprise heavy. ### 34. Beats Google Colab Everytime! **Rating:** 4.5/5.0 stars **Reviewed by:** kevin C. | self project, Small-Business (50 or fewer emp.) **Reviewed Date:** June 06, 2025 **What do you like best about Deepnote?** Deepnote is very easy to use wheather a beginner just starting out or professional Data Scincetist working on a project for your company. One of the best parts of Deepnote is there many intergration you can connect to, google drive if your just starting out or connect to the many SQL services. Their visual allow you to bring your data to life and see everything in real-time, it even updates in real-time which makes it every sharp. The ease of getting start quickly and running your project is immediate, which is one thing appreicate about Deepnote, its just a few seconds before your digging into the data. **What do you dislike about Deepnote?** One thing I would like Deepnote to add is more visual into their built in platform is more ways to visual the data. getting location maps,heatmaps etcs. It seem that deepnote is more professional and not really collage students going into the sciences, I would have love to use deepnote while in collage I never knew it was around and to go out and look for alternative. **What problems is Deepnote solving and how is that benefiting you?** practicing my data science and machine learning skills. ### 35. Powerfull Notebook **Rating:** 4.5/5.0 stars **Reviewed by:** Muhammad Aiman b. | Data Product Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** May 28, 2025 **What do you like best about Deepnote?** I've been using Deepnote for over a year now, mostly for Python projects. At first, I just used it to schedule and automate scripts for different tasks. As we grew, it turned into a go-to tool for running Python scripts, and even our non-technical teammates can now run scripts on their own without needing my help. The interface is clean and easy to use, the built-in integrations are super handy, and having secret key management built in is a big plus. I also really like the AI features ā€” they help me write code faster by predicting what I need and are great for debugging when something goes wrong. The customer support also great, while they are not available during my working hours, but they will respond as soon as they are available. **What do you dislike about Deepnote?** Sometimes the interface is a bit slow to load and can feel laggy. One thing Iā€™m also concerned about is how secret keys are handled ā€” it would be better if only the owner could view the actual values, while others could still use them without seeing the details. I've also run into a few issues when moving scripts from VS Code to Deepnote. Even with the same Python version, some scripts that work perfectly in VS Code throw errors in Deepnote, which means I have to spend extra time debugging. Because of that, Iā€™ve ended up relying on Deepnote more for testing just to avoid those additional time required. **What problems is Deepnote solving and how is that benefiting you?** It helps me with two main things: scheduling and collaboration. I can set up scripts to run automatically without having to mess with more technical setups. And for collaboration, itā€™s been a game-changer ā€” even non-technical teammates can run scripts or check out the work right in the notebook. It makes sharing and working together way easier and more efficient. ### 36. Deepnote Makes Collaboration Effortless **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** August 12, 2025 **What do you like best about Deepnote?** - Multiple people can edit the same notebook at once, see each otherā€™s cursors, and comment. - No local configuration nightmares - packages and environments are managed in the cloud, so you can start working immediately. - Built-in connectors to BigQuery, Snowflake, PostgreSQL, Google Sheets, etc., make it easy to pull data without juggling API keys and drivers. **What do you dislike about Deepnote?** - Processing very large dataframes can feel slower than a well-tuned local Jupyter setup. - You can hit memory or runtime caps quickly if youā€™re doing heavy ML or large ETL work unless you upgrade to higher-tier plans. - Converting notebooks to .ipynb or other formats works, but sometimes you lose small bits of formatting or Deepnote-specific features. **What problems is Deepnote solving and how is that benefiting you?** - Deepnote lets multiple people edit, comment, and run code together in real time, just like Google Docs, making cross-functional collaboration smooth. - Deepnoteā€™s cloud environment is ready to go, with easy package management and prebuilt integrations, so onboarding new collaborators takes minutes, not hours. - Built-in connectors allow quick, secure access to live data without messy credential sharing. - Deepnote keeps a clean version history and branching system built into the UI, so you can experiment and roll back without technical overhead. ### 37. Effortless Navigation and Simple Report Editing **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Mental Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** January 06, 2026 **What do you like best about Deepnote?** Site is easy to read and navigate. Editing reports is simple and straight forward. **What do you dislike about Deepnote?** Running a query or report sometimes takes a little while although that may be more an issue with our data warehouse rather than an issue on your end. **What problems is Deepnote solving and how is that benefiting you?** It allows me to pull and analyze data that I present to customers on monthly performance meeting. I am able to leverage the insights from this app to improve digital ad campaigns on our platform. ### 38. A Powerful and User-Friendly Tool for Daily Data Work **Rating:** 5.0/5.0 stars **Reviewed by:** Jorge A. | Marketing Manager & Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 27, 2025 **What do you like best about Deepnote?** What I like most about Deepnote is that it feels like a supercharged version of Jupyter Notebooks. I use it daily at work to automate processes, connect to APIs, generate reports, and trigger actions. Itā€™s very intuitive and user-friendly, even compared to other tools like Colab or Jupyter Lab. The built-in data visualizations are powerful and make analysis much easier. It was very easy to get started withā€”no complex setup or configuration was needed, so the ease of implementation was excellent. Everything just worked right out of the box. On the few occasions I needed help, the customer support was responsive and helpful. Their team showed a great attitude and helped me resolve the issue quickly. **What do you dislike about Deepnote?** Overall, Iā€™m very satisfied and havenā€™t had major issues. I did run into some difficulty integrating Google Sheets directly, but it was likely due to a lack of documentation or research on my part. I worked around it using the Google API. Also, while I donā€™t use the collaboration features much, they could be useful for team-based projects. **What problems is Deepnote solving and how is that benefiting you?** Deepnote simplifies the process of developing and running Python-based workflows in the cloud without having to worry about local setup or infrastructure. It helps me stay productive by keeping my scripts, visualizations, and notes all in one place. This saves me time, reduces context switching, and makes it easier to track and reproduce my work. Its ability to handle API connections, data processing, and reporting in an integrated, notebook-style environment has streamlined many of my daily tasks. ### 39. Exceptional collaborative data science platform that revolutionized our workflow **Rating:** 5.0/5.0 stars **Reviewed by:** Jeffrey P. | Partner, Small-Business (50 or fewer emp.) **Reviewed Date:** May 26, 2025 **What do you like best about Deepnote?** What I love most about Deepnote is its seamless real-time collaboration features combined with its intuitive interface. The ability to work simultaneously with team members on Jupyter notebooks while having built-in version control and commenting systems has completely transformed how we approach data science projects. The platform's integration with popular data sources and cloud services, along with its powerful compute resources, makes it incredibly easy to go from data exploration to production-ready insights without the usual infrastructure headaches. **What do you dislike about Deepnote?** While Deepnote is fantastic overall, there are a few minor areas for improvement. The pricing can become steep for larger teams or when requiring extensive compute resources for extended periods. Occasionally, I've experienced slight lag during peak usage times, and some advanced customization options that power users might expect from local Jupyter environments are still limited. **What problems is Deepnote solving and how is that benefiting you?** The cumulative effect is that I can now focus on the actual data science work rather than fighting with tools and infrastructure. My productivity has increased significantly, and collaboration with my team has become seamless and enjoyable rather than a source of friction. ### 40. Deepnote helped us turn raw data into real-time insights and smarter operations **Rating:** 4.5/5.0 stars **Reviewed by:** Jeffrey J. | Credit Operations Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 26, 2025 **What do you like best about Deepnote?** Deepnote makes pulling and exploring data so much easier. We can quickly connect to databases and get straight into analysis, which has really improved our visibility into performance and helped speed up decision-making. Itā€™s also incredibly flexible ā€” weā€™ve been able to build models that help ensure operational quality and adapt them as our needs evolve. Plus, the real-time collaboration, SQL/Python support, and zero setup make it perfect for remote teams. **What do you dislike about Deepnote?** The main issue is the loading time when working with larger datasets or multiple data sources ā€” it can be a bit slow to initialize. Also, since itā€™s fully cloud-based, it doesnā€™t work well in low-connectivity situations, and offline access would be a helpful addition. **What problems is Deepnote solving and how is that benefiting you?** We use Deepnote to centralize and streamline our analytics workflow. Itā€™s helped us move faster from data to insights, improve transparency across teams, and build custom models that support quality control in operations. Overall, itā€™s made our data work more efficient and collaborative. ### 41. Great Review for DeepNote **Rating:** 5.0/5.0 stars **Reviewed by:** Santiago P. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 26, 2025 **What do you like best about Deepnote?** I've been using Deepnote for my Python projects, and it's been an absolute game-changer. The interface is clean, intuitive, and incredibly well-suited for both solo work and team collaboration. I especially love the real-time collaboration featuresā€”feels like Google Docs for data science. It also integrates smoothly with popular tools like GitHub and BigQuery, which saves me a lot of time. The fact that I can run Jupyter-style notebooks in the cloud without setting up a local environment is a huge plus. Highly recommend it for anyone working on data science, analytics, or machine learning workflows. **What do you dislike about Deepnote?** sometimes a little slow but its a good feature to work with. **What problems is Deepnote solving and how is that benefiting you?** Deepnote is solving the problem of fragmented, non-collaborative data science workflows. Traditional Jupyter notebooks lack real-time collaboration, version control, and seamless integrations, which often slows down project developmentā€”especially when working in teams. Deepnote fixes that by offering a cloud-based, collaborative environment where I can work with others in real time, similar to how Google Docs works for documents. This has massively benefited me by increasing productivity, reducing setup time, and allowing smoother handoffs and code reviews. I no longer have to worry about syncing notebooks manually or running into environment conflicts. It also helps me stay focused on the actual problem-solving and analysis rather than on infrastructure issues. ### 42. It has nice AI features for a web-based notebook **Rating:** 4.5/5.0 stars **Reviewed by:** Italo T. | Engineering Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** August 05, 2025 **What do you like best about Deepnote?** It provides great visualization tools for notebooks, with some nice features like column summarization. It also lets you group many notebooks in the same project, something that its competitors don't let you do. Its AI features are better than competitors too, it can create a full analysis in its own. **What do you dislike about Deepnote?** Despite the fact that the AI is way better than its competitors, it's still somewhat clunky to use, can create many unused cells and leave them there. Also, some features are missing/are not the defaul: - i should be able to query (join) every dataframe in SQL - cell replay should replay its children by default **What problems is Deepnote solving and how is that benefiting you?** Create business analysis and sharing it with stakeholders ### 43. Powerful Easy to Use Notebook Environment **Rating:** 4.5/5.0 stars **Reviewed by:** Nuala M. | Lead Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** May 27, 2025 **What do you like best about Deepnote?** Deepnote is a genuinely useful application of AI in coding, in terms of predictive code suggestions I've never come across anything like it and the time it saves building out queries is exceptional. It was an easy set up and integration and it's an intuitive interface that doesn't take long to familiarise yourself with. The file structure makes it easy to quickly run ad hoc queries on once off data sets while the multiple integrations and project structure make bigger projects a breeze. Would quite literally now be lost without it. **What do you dislike about Deepnote?** The only things I dislike really are smaller nitpicks rather than feature gaps. The menu to convert/duplicate code blocks is a little clunky and the "fix my code" AI is not as effective as the predictive piece. **What problems is Deepnote solving and how is that benefiting you?** Within the analytics team it allows for collaborative working and we use it a lot for automation of weekly/monthly tasks ### 44. Unlimited Notebook Runs Make This a Standout Choice **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** January 06, 2026 **What do you like best about Deepnote?** The best thing is it does not have 10 minute limitations for running notebooks OR long-winded SQL quries. **What do you dislike about Deepnote?** I would like to see an easy to access help guide for Deep note features and the link to be available in the Deep note hamburger menu. **What problems is Deepnote solving and how is that benefiting you?** Currently Deepnote is super helpful when we need to manipulate large data sets, I personally use it for health check on large number of devices and their breadcrumb data. ### 45. Efficient ETL with Deepnote **Rating:** 4.0/5.0 stars **Reviewed by:** Nicolas C. | CTO, Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Deepnote?** Deepnote's AI assistant has been incredibly helpful in creating new code blocks and fixing issues, making it easier to manage the ETL process without prior extensive Python experience. The platform allows for smooth daily execution of the ETL process, which has been running reliably. The built-in secret management helps avoid hardcoding secrets directly into the code, providing a basic level of security. **What do you dislike about Deepnote?** The interface can be slow to load, especially with a large number of code blocks. I wish I could get detailed information about past executions, both successful and failed, for troubleshooting and monitoring. The visibility of secrets in the secret manager poses a potential security risk. **What problems is Deepnote solving and how is that benefiting you?** As a web-based platform, I can access my projects from anywhere without complex setups. The AI assistant helps me write and debug code, which is great since I don't have extensive experience with Python. I get immediate results, helping me quickly spot and fix issues in my ETL process. ### 46. 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. ### 47. 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. ### 48. 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. ### 49. 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. ### 50. 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. ## 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?section=pricing&secure%5Bexpires_at%5D=2026-05-18+18%3A58%3A14+-0500&secure%5Bsession_id%5D=ad11eafc-210a-4a7e-af52-22efeca298ea&secure%5Btoken%5D=4037f5fa7212a681e649c93999fea726dd560b6bb893036d3e1ce88f705f5e5b&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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[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** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs ## Top Deepnote Alternatives - [Hex](https://www.g2.com/products/hex-tech-hex/reviews) - 4.5/5.0 (388 reviews) - [Looker](https://www.g2.com/products/looker/reviews) - 4.4/5.0 (1,572 reviews) - [PyCharm](https://www.g2.com/products/pycharm/reviews) - 4.6/5.0 (758 reviews)