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Rasteret is a library for 20x+ faster reads of GeoTIFF than Rasterio/GDAL. Interops with TorchGeo, Xarray, DuckDB, Polars

132 starsPython

Rasteret-library for fast table like access to Satellite Imagery

by sid_tf·Feb 27, 2026·3 points·0 comments

AI Analysis

●●●BangerNiche GemSolve My ProblemWizardry

Parquet-cached COG metadata cuts satellite image cold starts from minutes to seconds.

Strengths
  • Solves the exact repeated-header-parsing problem in satellite ML workflows with measurable 20x speedup
  • Integrates seamlessly with TorchGeo, DuckDB, xarray without forcing API changes
  • Shareable Parquet index captures reproducible scene selection and band metadata for teams
Weaknesses
  • Audience limited to geospatial ML practitioners; narrow domain applicability
  • No Windows support mentioned, dependency on rasterio/GDAL ecosystem
Category
Target Audience

ML engineers working with geospatial imagery, remote sensing researchers

Similar To

TorchGeo · Planetary Computer API · Sentinel Hub

Post Description

Index COG metadata once into Parquet, skip cold starts forever. Filter with DuckDB, train with TorchGeo, fetch pixels on demand. 20x faster runs

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