rasterio/rasterio
Some data may be outdated — see provenance labels.
Rasterio reads and writes geospatial raster datasets observed · 2026-09-26
Health v2 · maintenance only
86/100
- Activity 96
- Release rhythm 65
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 123.0
- age_days: 4733
- days_rel: 74
- days_push: 25
- n_releases_24m: 5
Adoption not part of the score
2577 stars · 571 forks observed · 2026-09-26
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Rasterio is a Python library for reading and writing geospatial raster datasets such as GeoTIFF, built on GDAL and exposing an N-D array (NumPy) based API. It also ships command-line tools for common raster operations.
Use cases
- read geotiff into numpy array
- write raster data to tiff
- reproject satellite imagery
- get crs and transform of a raster file
- batch process raster datasets from the command line
- clip and mask raster imagery
When to choose
- you need Pythonic access to GDAL raster formats with NumPy arrays
- you want prebuilt binaries without manually installing GDAL
- you're doing remote sensing or GIS raster processing pipelines
When to avoid
- you need vector/feature geospatial data (use GeoPandas/Shapely instead)
- you need full access to every GDAL driver or advanced GDAL APIs
- you work outside the Python ecosystem
Facets
library · maturity active
cli image-processing sdk data-science developer-tools python windows cli gdal raster geotiff numpy gis remote-sensing geospatial linux macos
1 source
- readme: https://github.com/rasterio/rasterio · fetched 2026-09-26 · dde61ff27d36
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| rasterio/rasterio | main | 86 |
For agents
markdown · JSON · MCP: product_card(name="rasterio/rasterio")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem