Deepnote

What do you like best about the product?

What I like most about Deepnote is its real-time collaboration and cloud-based notebook experience. It combines the flexibility of Jupyter notebooks with features designed for teams, making it easy to analyze data, write code, and share insights without worrying about local environment setup. Real-time collaboration, similar to working in a shared document. Cloud-hosted notebooks with no complex local configuration. Support for Python, SQL, and popular data science libraries. Easy integration with databases, cloud storage, and version control systems. Clean, intuitive interface that simplifies data exploration and visualization. For me, the most valuable feature is the collaborative editing. Multiple team members can work on the same notebook simultaneously, making it much easier to review analyses, troubleshoot code, and share findings in one place. The biggest benefit is improved productivity. Deepnote streamlines the entire data analysis workflow by reducing setup time, simplifying collaboration, and making notebooks easily accessible from anywhere.

What do you dislike about the product?

The biggest drawback is the resource limitations for compute-heavy workloads. While it's great for most analytics tasks, large-scale data processing or complex machine learning experiments may require more powerful infrastructure or higher-tier plans. Performance can slow down when working with very large datasets or resource-intensive notebooks. Some advanced customization and environment configuration options are more limited than in a locally managed Jupyter setup.

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

Deepnote solves the challenge of collaborative data analysis by providing a cloud-based environment where teams can write code, analyze data, and share results without dealing with local setup or version conflicts. It brings notebooks, data connections, and collaboration into a single workspace. Eliminates the hassle of configuring local development environments. Enables real-time collaboration on notebooks, reducing back-and-forth communication. Simplifies access to databases, cloud storage, and external data sources. Makes it easy to document analyses alongside code and visualizations. Keeps projects centralized, making them easier to share, review, and reproduce. In my workflow, Deepnote helps accelerate exploratory data analysis, SQL queries, reporting, and prototype development. Instead of exchanging notebook files or resolving environment issues, team members can collaborate in the same workspace and see updates instantly. The biggest benefit is greater productivity and collaboration. Deepnote reduces setup time, improves reproducibility, and allows teams to move from raw data to actionable insights much more efficiently.

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

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.