# mauhai/awesome-jupyterlab

A curated list of awesome JupyterLab extensions and resources

Repository: https://github.com/mauhai/awesome-jupyterlab
Canonical: https://ross.abutalabs.com/products/awesome-jupyterlab
License Family: other
Topics: jupyterlab-extension, jupyterlab, awesome, collections
Archived: true
Last push: 2022-11-03T09:15:54+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3145, "days_push": 1399, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2623, forks 153 (observed 2026-08-28T04:07:05.166172+00:00)

## What it is
A curated awesome-list of JupyterLab extensions and resources, covering editors, version control, renderers, themes, and more. It serves as a discovery index rather than software itself.

## Use cases
- find jupyterlab extensions for my notebook workflow
- discover jupyterlab plugins for git and version control
- best jupyterlab themes and renderers
- add vim keybindings or LSP autocomplete to jupyterlab
- curated resources for learning jupyterlab ecosystem
- find extensions to render csv, , or plotly in jupyterlab

## When to choose
- you want a browsable catalog of JupyterLab extensions and resources
- you are setting up a JupyterLab environment and want community-recommended plugins

## When to avoid
- you need an actual tool or library rather than a link list
- you need up-to-date coverage, as the list has not been actively maintained recently

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, documentation
- domain: developer-tools, data-science, awesome-lists
- platform: cross-platform
- tags: awesome-list, jupyterlab, curated-list, extensions, notebooks, web-server

## Member repositories
- mauhai/awesome-jupyterlab (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:05.166172+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 2026-08-30T02:19:58.264958+00:00, confidence not recorded.
  - readme: https://github.com/mauhai/awesome-jupyterlab (fetched 2026-08-28T04:07:05.166172+00:00, sha 129af4a4637f)
- Data as of 2026-08-30T08:39:29.467469+00:00.