Work faster by allowing anyone to add comments, questions, and feedback.
Google Drive data directly in a notebook
Connect Google Drive to your notebook and easily browse files just like you do on your computer. You can read, write, update or delete any data.
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Google Drive in Jupyter notebooks
Google Drive allows you to easily back-up, store and synchronize your files.
When connected to a Deepnote notebook, your a Google Drive folder will be mounted along with the notebook's filesystem. Then you can easily reference, upload, delete or update any file from your Drive.
Collaborative by default
We built collaboration into Deepnote by default because data teams don’t work alone. Deepnote runs seamlessly in the cloud, making environment management a non-issue. Sharing work is as easy as sending a link (think Google Docs).
Build a library of data projects sorted by folders so teammates can get needed information fast.
Share your work with stakeholders by simply sending a link or email invite.
Collaborative commenting
Work faster by allowing anyone to add comments, questions, and feedback.
Organize with ease
Build a library of data projects sorted by folders so teammates can get needed information fast.
Sharing made simple
Share your work with stakeholders by simply sending a link or email invite.
Integrates with your data stack
Deepnote works with the tools and frameworks you’re already using and familiar with. Use Python, SQL, R, TensorFlow, PyTorch, and any of your favorite languages or frameworks. Easily connect to data sources with dozens of native integrations.
Browse integrations →