What is Deepnote?
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.
Deepnote is a tool in the Data Science Notebooks category of a tech stack.
Who uses Deepnote?
49 developers on StackShare have stated that they use Deepnote.
GitHub, MongoDB, GitLab, Google BigQuery, and Amazon Redshift are some of the popular tools that integrate with Deepnote. Here's a list of all 8 tools that integrate with Deepnote.
Pros of Deepnote
Fully managed notebook
GitHub / Gitlab integration
- Real-time collaboration
- Code review
- Variable explorer, Autocompletion
- Command palette
- Keyboard shortcuts
Deepnote Alternatives & Comparisons
What are some alternatives to Deepnote?
See all alternatives
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.
Chart with a single click. Compare queries side by side. Download your work and share it with anyone. If your data is in a CSV, JSON, or XLSX file, loading it is as simple as dropping the file into Franchise.
It is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.