# gee-community/geemap

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

Repository: https://github.com/gee-community/geemap
Canonical: https://ross.abutalabs.com/products/geemap
Homepage: https://geemap.org
Language: Python
License: MIT
License Family: permissive
Topics: google-earth-engine, gis, remote-sensing, image-processing, python, jupyter-notebook, ipyleaflet, mapping, earth-engine, ipywidgets, folium, jupyter, colab, geospatial, landsat, dataviz, data-science, streamlit, streamlit-webapp, earthengine
Last push: 2026-08-24T23:54:59+00:00

## Health v2 (maintenance only)
Score: 96/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 90, longevity 100
- inputs: {"age_days": 2369, "days_push": 9, "days_rel": 68, "gap_med": 14.0, "n_releases_24m": 23}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4018, forks 1152 (observed 2026-08-28T04:08:32.454681+00:00)

## What it is
geemap is a Python package for interactive geospatial analysis and visualization with Google Earth Engine, built on ipyleaflet and ipywidgets. It fills the gap in the GEE Python API by enabling interactive mapping and analysis of Earth Engine datasets within Jupyter-based environments.

## Use cases
- visualize google earth engine satellite imagery in jupyter
- interactive geospatial analysis with python
- create maps from earth engine datasets
- analyze remote sensing data interactively
- build streamlit apps with earth engine data
- convert javascript earth engine code to python
- export and download earth engine imagery

## When to choose
- you work with Google Earth Engine and want interactive visualization in Python
- you need Jupyter-based geospatial analysis with satellite imagery
- you want to convert GEE JavaScript workflows to Python
- you need charts, animations, or exports from Earth Engine datasets

## When to avoid
- you don't have an approved Google Earth Engine account
- you need offline GIS analysis without cloud services
- you need a general-purpose desktop GIS like QGIS
- you work in an environment where Google services are blocked and cannot use a proxy

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, image-processing, geospatial, developer-tools
- domain: data-science, data-visualization
- platform: python, cross-platform
- tags: google-earth-engine, ipyleaflet, interactive-mapping, satellite-imagery, gis, jupyter-notebooks, streamlit, geospatial, remote-sensing, jupyter, colab

## Member repositories
- gee-community/geemap (main) score 96

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:32.454681+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 2026-08-29T18:23:57.562574+00:00, confidence not recorded.
  - readme: https://github.com/gee-community/geemap (fetched 2026-08-28T04:08:32.454681+00:00, sha a6faf41f3eed)
  - homepage: https://geemap.org (fetched 2026-08-29T09:16:51.792676+00:00, sha 7dc29cd691b1)
  - site_page: https://geemap.org/installation (fetched 2026-08-29T09:16:51.796725+00:00, sha bc665197317d)
  - site_page: https://geemap.org/notebooks/00_geemap_key_features (fetched 2026-08-29T09:16:51.802897+00:00, sha 77d66d6c1d65)
  - site_page: https://geemap.org/notebooks/50_cartoee_quickstart (fetched 2026-08-29T09:16:51.804414+00:00, sha efaed9eea22f)
  - site_page: https://geemap.org/notebooks/144_chart_features (fetched 2026-08-29T09:16:51.805933+00:00, sha b6c70ad0d664)
  - registry_pypi: https://pypi.org/pypi/geemap/json (fetched 2026-08-29T09:16:51.807313+00:00, sha 1d0c927b8fd1)
  - site_page: https://geemap.org/faq (fetched 2026-08-29T09:16:51.798627+00:00, sha ddef942e3905)
  - site_page: https://geemap.org/changelog (fetched 2026-08-29T09:16:51.800271+00:00, sha 464207b4fd69)
- Data as of 2026-08-30T08:39:29.467469+00:00.