Deepnote Reviews & Product Details

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I like how Deepnote offers MCP integration along with a modern Jupyter experience. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. It’s not just about analysis, it’s about clarity, flow, and collaboration.

Deepnote doesn’t just speed things up, it deepens the way you think. highly recommend it Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

The fact that if I want to remove members from a collaborative workspace there is no way to remove multiple user at once Review collected by and hosted on G2.com.

10 character that good in deepnote

If you mean good characters (features) in Deepnote, here are 10 strong ones:

Real-time collaboration – multiple users can edit notebooks simultaneously (like Google Docs).

Cloud-based – no need to install; works directly in your browser.

Integrated environment – supports Python, SQL, and more in one place.

Auto-saving – your work is saved continuously.

Version history – track and restore previous notebook versions.

Easy sharing – share projects via link with permissions.

Built-in data connections – connect to databases, APIs, and files easily.

Interactive outputs – supports charts, tables, and visualizations.

Commenting system – collaborate through comments inside notebooks.

Environment management – control packages and dependencies easily Review collected by and hosted on G2.com.

Requires internet – since it’s cloud-based, you can’t use it offline.

Limited free plan – some features and resources are restricted unless you upgrade.

Performance limits – heavy computations can be slower compared to local machines Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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) Review collected by and hosted on G2.com.

Deepnote’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. Review collected by and hosted on G2.com.

Jupyter like interface with cell wise execution - Great to debug Review collected by and hosted on G2.com.

Having to create connections everytime there is a new database added Review collected by and hosted on G2.com.

Collaboration features that makes it easy to work on a project within the team and AI-driven coding suggestions and assistance Review collected by and hosted on G2.com.

Sometimes it can be slow with large data sets Review collected by and hosted on G2.com.