Sold by: Deepnote
Deployed on AWS
Deepnote is a game-changing solution for modern data teams to solve their hardest problems with ease. It fully integrates AI into a beautiful notebook environment to enable both technical and non technical users work with their data. Real-time collaboration, powerful data apps, visualizations, 100s of integrations, and scalable compute resources make it the ultimate tool for efficient data teams.
4.5
Overview
Deepnote is a collaborative data workspace where data science and analytics teams turn to solve their hardest problems. With Deepnote, data teams can:
- Explore data by simply opening a browser, connecting to one or many data sources, and code with Python, SQL, or both together.
- Get to answers faster by collaborating via a shared, cloud environment and with productivity features for commenting, version control, scheduling, autocomplete, and a lot more.
- Share analysis with stakeholders by sending a link and make insights more discoverable through a shared workspace that organizes all of your data projects.
Highlights
- Explore data by simply opening a browser, connecting to one or many data sources, and code with Python, SQL, or both together.
- Get to answers faster by collaborating via a shared, cloud environment and with productivity features for commenting, version control, scheduling, autocomplete, and a lot more.
- Share analysis with stakeholders by sending a link and make insights more discoverable through a shared workspace that organizes all of your data projects.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
Enterprise Plan | 10 editors + unlimited viewers | $22,000.00 |
Dimensions summary
This listing offers one pricing option: the Enterprise Plan, sold as a contract. You pay for a single package that includes 10 editor seats plus unlimited viewers. Editors can create and run notebooks, while viewers can access shared work at no added seat cost. Pricing scales with editor capacity, not viewer count. The plan adds organization-level controls such as role-based access, single sign-on, directory sync, audit logs, and tailored deployment options. You get a custom contract and a dedicated success manager. There are no separate tiers or usage add-ons in this listing.
Top-of-mind questions for buyers
An editor is a seat that can create, write, and run notebooks. The plan includes 10 editor seats. A viewer can access and view shared work but cannot edit. Viewers are unlimited and add no seat cost. Only editor seats count toward the 10-seat capacity.
The plan covers 10 editor seats. It does not automatically add more when you exceed that count. Adding editor capacity beyond 10 requires arranging it with the vendor under your contract. Viewers remain unlimited and are unaffected by the editor limit.
The listing prices the plan by editor seats and unlimited viewers. Every project runs on a cloud machine, with options ranging from basic to high-memory and GPU machines. Compute for those machines is not part of this seat-based dimension. Contact the vendor for machine and volume discount details.
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Support
Vendor support
Email: help@deepnote.com
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Customer reviews
Education Management
Deepnote: Seamless Real-Time Collaboration for AI and Data Science
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
What I like most about Deepnote is how seamlessly it brings collaboration, data science workflows, integrations, and AI assistance into a single platform. Teams can work together in real time on complex projects without constantly switching between tools.
Its intuitive, well-designed interface makes notebooks easy to organize and use, while its integrations and built-in capabilities support a wide range of AI and data science applications.
Overall, Deepnote stands out for its combination of power, flexibility, and ease of use.
Its intuitive, well-designed interface makes notebooks easy to organize and use, while its integrations and built-in capabilities support a wide range of AI and data science applications.
Overall, Deepnote stands out for its combination of power, flexibility, and ease of use.
What do you dislike about the product?
One area where Deepnote could improve is its support for software testing and education-focused workflows. More seamless unit-testing capabilities within notebooks would make it easier to validate code and maintain quality in complex projects.
In academic settings, built-in autograding tools and integrations with learning management systems such as Canvas, Blackboard, or Moodle would also be highly valuable. My students use Deepnote for collaborative group projects, and features for distributing assignments, tracking submissions, and providing automated feedback would make the platform even more effective for teaching. Education is a substantial market, and these capabilities could help Deepnote serve instructors and students more comprehensively.
In academic settings, built-in autograding tools and integrations with learning management systems such as Canvas, Blackboard, or Moodle would also be highly valuable. My students use Deepnote for collaborative group projects, and features for distributing assignments, tracking submissions, and providing automated feedback would make the platform even more effective for teaching. Education is a substantial market, and these capabilities could help Deepnote serve instructors and students more comprehensively.
What problems is the product solving and how is that benefiting you?
Deepnote helps solve the challenge of managing complex data analytics, machine learning, and deep learning projects across fragmented tools and environments. By combining collaborative notebooks, GitHub integration, access to multiple data sources and file formats, and built-in AI assistance in one cloud-based platform, it reduces setup time and makes projects easier to organize, reproduce, and share.
Justin E.
Deepnote’s Modern Jupyter Experience with Seamless MCP Integration
Reviewed on Aug 30, 2026
Review provided by G2
What do you like best about the product?
I like how Deepnote offers MCP integration along with a modern Jupyter experience.
What do you dislike about the product?
The fact that I regret not using it earlier. I still have a lot to catch up on. Recently, I screwed up with sync because Deepnote’s CLI sync function expects the entire workspace synced instead of just the scoped folder. It’s a skill issue on my end though
What problems is the product solving and how is that benefiting you?
I’m currently building a config compiler for custom OpenAI compatible endpoint’s models list because I needed to resolve discrepancies so my agentic tools are aware of the actual model specs instead of hardcoding everything and relying on fallbacks
Eyram S.
Real-Time Collaborative Notebooks That Transform Student Coding
Reviewed on Jul 23, 2026
Review provided by G2
What do you like best about the product?
The collaborative notebook allows me to get my students to contribute code in real-time which provides a better experience than when they have to come use my laptop
What do you dislike about the product?
The fact that if I want to remove members from a collaborative workspace there is no way to remove multiple user at once
What problems is the product solving and how is that benefiting you?
I use it as an interactive classroom where all students have a front row seat and every student can interact with the code
Gabriel P.
Real-Time Collaboration That Makes Lab Work Easy
Reviewed on Jul 13, 2026
Review provided by G2
What do you like best about the product?
Allows me to work in real time with my physics lab partners as a university student. Outside of labs this mean it is also easier to make changes and not have to send my updated code to my lab partners, for this reason I use Deepnote. Allowing for the software to be free is also great for university students. AI can be handy at times although I don't personally use it too much. Performance is solid, little bit slow but I understand why that is case too given we use the free plan
What do you dislike about the product?
Accessing shared files in the UI is hard, I don't think anyone in my lab has figured it out. We regularly have to open our emails to access shared files, as it does not seem to show up on the UI? I feel this is a bit unconventional
What problems is the product solving and how is that benefiting you?
Deepnote is solving the ability for files that otherwise could not be worked on collaboratively, to be worked on collaboratively. Prior to Deepnote it was hard to share python files, all software I'm aware of doesn't share files
Janella Mae D.
Efficient, Effective, and Keeps My Work Running Smoothly
Reviewed on May 19, 2026
Review provided by G2
What do you like best about the product?
It’s efficient and effective, and it helps me carry out my work smoothly.
What do you dislike about the product?
It has bug errors, and sometimes it doesn’t work.
What problems is the product solving and how is that benefiting you?
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