# sacridini/Awesome-Geospatial

Long list of geospatial tools and resources

Repository: https://github.com/sacridini/Awesome-Geospatial
Canonical: https://ross.abutalabs.com/products/awesome-geospatial
License: CC0-1.0
License Family: permissive
Topics: awesome-list, awesome, spatial-analysis, spatial-data, data-analysis, geospatial-analysis, remote-sensing, deep-learning, earth-observation, geospatial, machine-learning, geoprocessing, gis, geotools, map
Last push: 2026-08-25T16:07:49+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 3771, "days_push": 8, "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 5270, forks 783 (observed 2026-08-28T04:09:13.940670+00:00)

## What it is
A curated awesome-list of geospatial analysis tools, libraries, data sources, and learning resources spanning GIS, remote sensing, lidar, web mapping, and deep learning. It organizes thousands of links by category and programming language.

## Use cases
- find open-source GIS tools for spatial analysis
- discover geospatial libraries for Python or R
- locate remote sensing and earth observation resources
- find free geospatial datasets and data sources
- learn about lidar and radar processing tools
- explore web mapping frameworks and map servers

## When to choose
- you want a broad, curated index of geospatial software and resources
- you are exploring which GIS or mapping tools exist for a language
- you need pointers to geospatial data sources, books, or conferences

## When to avoid
- you need a working tool rather than a list of links
- you want in-depth tutorials or documentation for a specific tool
- you need actively maintained software with support guarantees

## Facets
- artifact type: learning-resource
- maturity: active
- function: geospatial, developer-tools, documentation
- domain: awesome-lists, data-science
- platform: cross-platform
- tags: awesome-list, gis, earth-observation, curated-resources, remote-sensing, lidar, web-maps, maps

## Member repositories
- sacridini/Awesome-Geospatial (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:13.940670+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 2026-08-29T17:59:28.594521+00:00, confidence not recorded.
  - readme: https://github.com/sacridini/Awesome-Geospatial (fetched 2026-08-28T04:09:13.940670+00:00, sha 705f70b62770)
- Data as of 2026-08-30T08:39:29.467469+00:00.