rasterix
Raster extensions for Xarray
Decision gist · record as of 2026-08-14
Yes, if you work with raster data in Xarray and need affine-transform-based indexing or Dask-compatible rasterization. Low install friction, active maintenance, permissive license, and no known vulnerabilities support adoption. Beta status means the API may change; confirm the rasterization features you need are stable for your workflow.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later; geospatial data files (e.g., GeoTIFFs) needed for typical use.
- Low install friction with a pure-Python wheel.
- Active maintenance status with a release within the last 72 days.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows broad use, modification, and distribution with minimal restrictions.
last release 2026-06-03 (72 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 114,377 downloads/mo, #12,297 on PyPI
Alternatives
Verify before relying
pip install rasterix
import rasterix
import xarray as xr
# Use RasterIndex for affine-transform-based indexing
index = rasterix.RasterIndex(geotiff_path)- Whether the package's rasterization wrappers are production-ready or still experimental given Beta status
- Performance characteristics when working with large raster datasets or high-resolution imagery
- Compatibility with specific versions of rasterio, exactextract, or other geospatial libraries beyond the listed runtime dependencies
What it is and what it does
Rasterix is a Python library that extends Xarray with raster-specific operations commonly needed in geospatial analysis. It sits between raw raster data (typically GeoTIFFs) and higher-level geospatial packages, providing two core capabilities: a RasterIndex class that uses affine transforms to index raster data, and Dask-aware wrappers around rasterization and geometry masking functions from rasterio and exactextract.
The package is designed as a building block for the geospatial Python ecosystem rather than a complete end-user tool. It depends on affine, numpy, pandas, xarray, and xproj, and is actively maintained with Beta-level stability. It targets modern Python versions (3.11–3.14) and carries no known security vulnerabilities.
Use it for
- Index and query raster data stored in GeoTIFFs using their embedded affine transforms within Xarray pipelines.
- Rasterize vector geometries or create geometry masks in a Dask-aware manner for distributed raster processing.
- Build reusable geospatial data analysis components that integrate with the broader Xarray ecosystem.
- Combine raster indexing with pandas and numpy operations on geospatial datasets.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work with raster data in Xarray and need affine-transform-based indexing or Dask-compatible rasterization.
Low install friction, active maintenance, permissive license, and no known vulnerabilities support adoption. Beta status means the API may change; confirm the rasterization features you need are stable for your workflow.
Install
rasterix on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance status with a release within the last 72 days. Requires Python 3.11 or later.
Requires Python 3.11 or later; geospatial data files (e.g., GeoTIFFs) needed for typical use.
License in practice
Apache-2.0 permissive license allows broad use, modification, and distribution with minimal restrictions.
Quickstart
pip install rasterix
import rasterix
import xarray as xr
# Use RasterIndex for affine-transform-based indexing
index = rasterix.RasterIndex(geotiff_path)Verify before relying
- Whether the package's rasterization wrappers are production-ready or still experimental given Beta status
- Performance characteristics when working with large raster datasets or high-resolution imagery
- Compatibility with specific versions of rasterio, exactextract, or other geospatial libraries beyond the listed runtime dependencies
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesaffinenumpypandasxarrayxproj |
| Maintenance | Actively maintained 72 days since the last release |
| First released | |
| Downloads | 114,377 / month, #12,297 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: rasterix-0.2.2-py3-none-any.whl
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See also rioxarray · xarray-spatial · exactextract · odc-loader · rasterio · flox · xproj · rio-tiler · odc-geo · odc-stac