Reverse Dependencies of pystac-client

The following projects have a declared dependency on pystac-client:

• aie-sdk — AIEarth Engine Python SDK
• aiearth-engine — AIEarth Engine Python SDK Engine
• cyfi — Estimate cyanobacteria density in small, inland water bodies using Sentinel-2 satellite imagery.
• dea-tools — Functions and algorithms for analysing Digital Earth Australia data.
• deafrica-tools — Functions and algorithms for analysing Digital Earth Africa data.
• dinamis-sdk — DINAMIS SDK
• earth-extractor — A library to simplify the workflow of data acquisition from multiple satellite data providers
• earthnet-minicuber — EarthNet Minicuber
• easysnowdata — package to easily get data relevant to snow
• eodal — The Earth Observation Data Analysis Library EOdal
• eodash_catalog — This package is intended to help create a compatible STAC catalog for the eodash dashboard client. It supports configuration of multiple endpoint types for information extraction.
• eofetch — Earth Observation Data Retrieval library
• georeader-spaceml — Lightweight reader for raster files
• geospatial — A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
• geowatch — no summary
• gval — Flexible, portable, and efficient geospatial evaluations for a variety of data.
• hls_tools — Tools for working with the Harmonized Landsat Sentinel 2 remote sensing dataset
• ipfs-stac — The EASIER Data Initiative Python IPFS-STAC Client
• leafmap — A Python package for geospatial analysis and interactive mapping in a Jupyter environment.
• leafmap-lite — Leafmap for JupyterLite
• mapa — 🌍 Create 3d-printable STLs from satellite elevation data 🌏
• mapchete — Tile-based geodata processing using rasterio & Fiona
• mosaiks — Use the MOSAIKS algorithm to create features from satellite imagery
• odc-apps-dc-tools — CLI utils for working with a datacube index
• openeo-fastapi — FastApi implementation conforming to the OpenEO Api specification.
• openeo-processes-dask — Python implementations of many OpenEO processes, dask-friendly by default.
• planetary-computer — Planetary Computer SDK for Python
• prefect-planetary-computer — Prefect integrations with Microsoft Planetary Computer
• pydaymet — Access daily, monthly, and annual climate data via the Daymet web service.
• pygeohydro — Access geospatial web services that offer hydrological data
• s2stac — Create a STAC from local S2 data.
• snowcast-Malachyiii — A package for pulling down satellite imagery for snow forcasting
• solafune-tools — Solafune internal geodata management tools
• spotlite — Package to simplify working with Satellogic APIs
• stac-api-validator — STAC API Validator
• stac-nb — stac-nb exposes STAC in Jupyter Notebooks
• stac2dcache — Python tool to create and manipulate STAC catalogs on a dCache storage system
• stactools-landsat — stactools package for Landsat data
• stelar-spatiotemporal — Spatiotemporal data processing for the STELAR project
• up42-py — Python SDK for UP42, the geospatial marketplace and developer platform.
• xhydro — Hydrological analysis library built with xarray.
• zen3geo — The 🌏 data science library you've been waiting for~