# firmai/awesome-google-colab

Google Colaboratory Notebooks and Repositories (by @firmai)

Repository: https://github.com/firmai/awesome-google-colab
Canonical: https://ross.abutalabs.com/products/awesome-google-colab
Homepage: https://google-colab.com/
Language: Jupyter Notebook
License Family: other
Topics: google-colab, google-colab-notebook, jupyter-notebook, machine-learning, coursera, tutorial, data-science, notebooks, python
Last push: 2022-03-10T12:44:32+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2487, "days_push": 1637, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1510, forks 262 (observed 2026-08-28T04:04:55.847456+00:00)

## What it is
A curated list of GitHub repositories containing ready-to-run Google Colaboratory notebooks for data science and machine learning, with data, code, and descriptions. It also links to a companion website for submitting and discovering Colab notebooks.

## Use cases
- find runnable colab notebooks for machine learning
- learn data science with jupyter notebooks in the cloud
- run python notebooks on gpu/tpu without local setup
- discover tutorials for reinforcement learning trading strategies
- find computer vision notebook examples like traffic counting with opencv
- learn how to run github jupyter notebooks in google colab

## When to choose
- you want click-and-run notebooks with data and explanations
- you lack a local Python/GPU setup and want cloud notebooks
- you are looking for curated data science and ML learning material

## When to avoid
- you need an actively maintained resource - the maintainer stated in 2021 they no longer update it
- you need a software tool or library rather than a list of links
- some listed repositories may have broken or outdated notebooks

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, data-science, developer-tools
- domain: machine-learning, data-science, tutorials, awesome-lists, education
- platform: python, cross-platform
- tags: awesome-list, google-colab, jupyter-notebooks, curated-list, notebook-gallery, gpu-notebooks, web-server

## Member repositories
- firmai/awesome-google-colab (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:55.847456+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:32:25.620302+00:00, confidence not recorded.
  - readme: https://github.com/firmai/awesome-google-colab (fetched 2026-08-28T04:04:55.847456+00:00, sha c076a5b2ed37)
  - homepage: https://google-colab.com/ (fetched 2026-08-29T11:36:41.664519+00:00, sha 92d6ce2e46f5)
  - site_page: https://browserlingapp.com/web-testing/pricing (fetched 2026-08-29T11:36:41.674300+00:00, sha da62141d44fb)
- Data as of 2026-08-30T08:39:29.467469+00:00.