Notebook as your GPU backend.

Deepnote v2's synchronous API turns a collaborative notebook into a callable inference service — L4 GPUs bundled with the team plan, hundreds of percent cheaper than the equivalent on Modal, RunPod, or Replicate.

batch_ingest.py
inputs.json
import os, requests
run = requests.post(
"https://api.deepnote.com/v1/projects/{id}/runs",
headers={"Authorization": f"Bearer {os.environ['DEEPNOTE_TOKEN']}"},
json={"notebookId": NB, "inputs": {"video_url": url, "fps": 0.5}, "detached": False},
).json()

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.