# opengeos/Awesome-GEE

A curated list of Google Earth Engine resources

Repository: https://github.com/opengeos/Awesome-GEE
Canonical: https://ross.abutalabs.com/products/awesome-gee
Homepage: https://awesome.geemap.org
License: CC0-1.0
License Family: permissive
Topics: google-earth-engine, earth-engine, gis, remote-sensing, python, javascript, mapping, jupyter-notebook, ipyleaflet, geospatial, earthengine
Last push: 2026-07-20T20:27:02+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 93, release rhythm 35, longevity 100
- inputs: {"age_days": 2272, "days_push": 44, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1238, forks 227 (observed 2026-08-28T04:04:05.571605+00:00)

## What it is
A curated list of Google Earth Engine resources including official docs, APIs, tutorials, courses, datasets, papers, and community tools. It serves as a reference directory for developers and researchers working with cloud-based geospatial analysis.

## Use cases
- find learning resources for Google Earth Engine
- discover Earth Engine Python and JavaScript libraries
- locate free courses on remote sensing with Earth Engine
- find geospatial datasets available in Earth Engine
- get started with satellite imagery analysis in the cloud
- find Earth Engine tutorials and example projects

## When to choose
- you are learning Google Earth Engine and want a single starting point
- you need to discover tools, datasets, or courses for cloud-based geospatial analysis
- you want a maintained index of the Earth Engine ecosystem

## When to avoid
- you need a runnable software library rather than a list of links
- you need geospatial tools unrelated to Google Earth Engine
- you expect the list itself to provide tutorials rather than link to them

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, geospatial
- domain: tutorials, awesome-lists
- platform: python
- tags: google-earth-engine, curated-list, gis, remote-sensing, geemap, satellite-imagery, geospatial, web-server, javascript

## Member repositories
- opengeos/Awesome-GEE (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:05.571605+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 2026-08-30T05:10:04.885944+00:00, confidence not recorded.
  - readme: https://github.com/opengeos/Awesome-GEE (fetched 2026-08-28T04:04:05.571605+00:00, sha 26478e6ae640)
  - homepage: https://awesome.geemap.org (fetched 2026-08-29T12:21:10.358944+00:00, sha c36ea5c359e5)
- Data as of 2026-08-30T08:39:29.467469+00:00.