About Deepnote
Deepnote is a Jupyter-compatible notebook with real-time collaboration, easy deployment, and built-in dataset connectors. It launched out of YC with Index Ventures + Accel leading the seed round and has since grown into a default tool for many data-science teams.
Why it's different
Most notebook environments make collaboration an afterthought — you commit to a repo, your collaborator pulls, you both run a kernel that may or may not produce the same outputs. Deepnote treats collaboration as primary:
- Live cursors and presence — multiple people in the same notebook, same kernel
- One-click sharing — a project URL renders the notebook with all outputs intact
- Pinned environments —
requirements.txt-style reproducibility, but without leaving the browser - Built-in integrations — connect to Snowflake, BigQuery, Postgres, S3 with config, not boilerplate
Where it fits
| You want… | Deepnote fits | Alternative |
|---|---|---|
| Collaborative analysis with a teammate | ✓ first-class | Colab (limited) |
| Reproducible compute environment | ✓ pinned | Jupyter + Docker |
| Embed a notebook in a blog post | ✓ public projects | nbviewer + iframe |
| Long-running training jobs | ✗ use cloud GPU | Modal, RunPod, Replicate |
| Air-gapped local-only work | ✗ web-first | local Jupyter |
Compatibility
Deepnote runs the standard IPython kernel. Any notebook that opens in Jupyter will open in Deepnote — you can paste a GitHub URL into the launch endpoint:
https://deepnote.com/launch?url=https://github.com/<owner>/<repo>/blob/<branch>/<notebook>.ipynb
License
The awesome-deepnote list itself is published under Creative Commons Attribution 4.0. The Deepnote platform is a separate commercial product — see deepnote.com.