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?
Developers
50 developers on StackShare have stated that they use Deepnote.
Deepnote Integrations
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
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Deepnote's Features
- Real-time collaboration
- Sharing
- Comments
- Code review
- Variable explorer, Autocompletion
- Command palette
- Keyboard shortcuts
Deepnote Alternatives & Comparisons
What are some alternatives to Deepnote?
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Apache Zeppelin
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
Google Colaboratory
It is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
SageMath
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.
Polynote
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.
