Overview
Getting started
A curated list of extensions, Python packages, machine-learning workflows, and collaborative notebooks ready to run in Deepnote — the modern data-science notebook with real-time collaboration and one-click sharing.
Notebooks
Curated notebooks across plotting, ML frameworks, TensorBoard, and full books on Probability, Bayesian Methods, and the Social Web.
Integrations
Tools that plug into Deepnote — Colab compatibility shims, deploy buttons, and embeddable widgets.
Resources
Community channels, launch-button generators, and the broader Deepnote ecosystem.
Other awesome lists
The wider awesome-list universe — Python, ML, datasets, dataviz, and adjacent communities.
What is Deepnote?
Deepnote is a Jupyter-compatible notebook with real-time collaboration, easy deployment, and built-in dataset connectors. Think of it as Google Docs for data scientists — without giving up your Python kernel or your requirements.txt.
What is this list?
Everything here is something you can either open in Deepnote with one click, or install/learn from inside a Deepnote project. The original curation began in 2020 as a community effort and continues to grow.
The full source is on GitHub at ramene/awesome-deepnote under Creative Commons Attribution 4.0 — PRs welcome.
Quick start
Open any notebook below with the Launch in Deepnote badge, or paste any public GitHub notebook URL into Deepnote's launch endpoint:
https://deepnote.com/launch?url=<github-notebook-url>
Need more depth? Browse the sidebar by category, or jump straight to Books & journals for full-length tutorials.

