Deepnote

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?

Summarizing the payments made by our clients.

What do you like best about the product?

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 the product?

Sometimes it can be slow with large data sets

What problems is the product 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

What do you like best about the product?

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

What do you dislike about the product?

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 the product 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.

What do you like best about the product?

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

What do you dislike about the product?

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

What problems is the product solving and how is that benefiting you?

Deepnote is mainly solving problems in data work, coding, and team collaboration—especially for analysts, students, and developers.

What do you like best about the product?

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 the product?

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 the product 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 it’s being done.

What do you like best about the product?

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 the product?

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 experience—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 the product 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

What do you like best about the product?

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 the product?

If version control for the notebook were available, it would be perfect.

What problems is the product solving and how is that benefiting you?

I use Deepnote as the backend for my logic and automation.

What do you like best about the product?

I like the ease of use and the “documentation” 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 they’re presenting.

What do you dislike about the product?

I would like to be able to interact with the code in a editor of my choice.

What problems is the product 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.

What do you like best about the product?

Easy access to datas. Work very well for my purposes.

What do you dislike about the product?

None. Deepnote is good for everything that i use for.

What problems is the product solving and how is that benefiting you?

Easy access to client data

What do you like best about the product?

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 the product?

There's not much that I can complain about Deepnote right now. It has performed to my standards.

What problems is the product 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.