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Imagery Python Packages

Python packages with the GitHub topic imagery. Sorted by monthly downloads, with stars and forks.
mapbox
mercantile

Spherical mercator tile and coordinate utilities

1.3M 452 70
mapbox
snuggs

Snuggs are s-expressions for Numpy

363K 18 6
Esri
pylerc

Limited Error Raster Compression

129K 215 72
mapbox
supermercado

Supercharger for mercantile

35K 131 21
Esri
lerc

Limited Error Raster Compression

22K 215 72
mapbox
rio-mucho

Parallel processing wrapper for rasterio

8K 63 11
mapbox
rio-color

Color correction plugin for rasterio

6K 147 27
mapbox
rio-toa

Top Of Atmosphere (TOA) calculations for Landsat 8

4K 38 21
mapbox
raster-tester

Utilities for raster tests

2K 0 0
mapbox
rio-rgbify

Encoded arbitrary bit depth rasters in pseudo base-256

1K 124 45
mapbox
rio-mbtiles

A plugin command for the Rasterio CLI that exports a raster dataset to an MBTiles 1.1 SQLite file

1K 136 36
mapbox
mapboxcli

Command line interface to Mapbox Web Services

416 171 43
mapbox
rio-alpha

Add alpha band to imagery based on nodata values

343 7 5
gamikun
pymago

CLI wrapper for imagemagic, pngquant, jpegoptim and opting with additional facilities.

324 1 0
mapbox
rio-pansharpen

pansharpening landsat scenes

293 53 22
mapbox
nodata

Because the pixels you can't see are harder than the ones you can.

255 1 2
mapbox
rio-merge-rgba

rio merge alternative optimized for large RGBA rasters

220 11 5
mapbox
watchbot-progress

Python module for running map-reduce jobs on ECS-watchbot

210 1 2
mapbox
untiler

Stitch image tiles into larger composite TIFs

202 37 10
mapbox
makesurface

Vector surfaces creation routines

197 91 16
UNCG-DAISY
psi-collect

Collect Post-Storm Imagery from NOAA

161 5 3
mapbox
rio-hist

Histogram matching plugin for rasterio

154 96 30
mapbox
xt

Automatically convert a stream of tile coordinates to another format

135 13 4
mapbox
rio-cloudmask

Rasterio plugin for identifying clouds in multi-spectral satellite imagery

112 54 12
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology