---
id: rasterix
version: "0.2.2"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# rasterix — Raster extensions for Xarray

License: permissive · Maintenance: active · Downloads: 114.4K/mo

## 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 above — verify before relying.

Rasterix provides tools for analyzing raster data within Xarray workflows, including affine-transform-based indexing for GeoTIFFs and Dask-aware rasterization wrappers around standard rasterio operations.

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

pip install rasterix
uv add rasterix
poetry add rasterix

## Installing rasterix

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.

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)

Requires Python 3.11 or later; geospatial data files (e.g., GeoTIFFs) needed for typical use.

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_current
- Install friction: low
- Maintenance: active
- Downloads: 114.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

xarray raster analysis, geotiff indexing affine transform, rasterization with dask, raster data xarray, geospatial raster tools, geospatial, raster-data, dask-aware

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