Reverse Dependencies of pystac

The following projects have a declared dependency on pystac:

• actinia-core — Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks
• aiearth-data — AIEarth Engine Python SDK Data
• arcosparse — Helper to download and subset sparse data that has been Arcoified and are available through STAC and sqlite formated data
• az-blob-stacio — An implementation of `pystac`'s `StacIO` for reading static STACs stored in Azure Blob Storage.
• cloudsen12 — A Python package for use cloudsen12
• coastpy — Python tools for cloud-native coastal analytics.
• copernicus-marine-client — no summary
• copernicusmarine — Command line interface and Python API for accessing Copernicus Marine data and related services.
• cryoforge — Metadata genrator for ITS_LIVE velocity scenes
• cyfi — Estimate cyanobacteria density in small, inland water bodies using Sentinel-2 satellite imagery.
• datacosmos — A library for interacting with DataCosmos from Python code
• deep-code — deepesdl earthcode integration utility tool
• deltares_datasuite — Python package to create and update STAC items in the Deltares Data Management Suite
• digitalarztools — Digital Arz tools for applications
• dinamis-sdk — DINAMIS SDK for Python
• earthdaily — EarthDaily Python Client
• eodag — Earth Observation Data Access Gateway
• 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.
• eodatasets3 — Packaging, metadata and provenance for OpenDataCube EO3 datasets
• eodc — Python SDK for interacting with EODC services.
• eoreader — Remote-sensing opensource python library reading optical and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
• eotdl — Earth Observation Training Data Lab
• flipnslide — A concise Python package to preprocess large scientific images for use with GPUs.
• ftw-tools — Fields of The World (FTW) Command Line Interface (CLI) for data management, ML processing, and more.
• gdptools — Gdptools
• geo-inference — Extract features from geospatial imagery using deep learning models
• geostore — Central storage, management and access for important geospatial datasets developed by LINZ
• geotils — geotils by GEOAI group
• geovisio — GeoVisio API - Main
• GRSdriver — Driver for L1C satellite images dedicated to GRS processor
• harmony-py — Python library for integrating with NASA's Harmony Services.
• harmony-service-lib — A library for Python-based Harmony services to parse incoming message, fetch data, stage data, and call back to Harmony.
• hecstac — Create stac objects and metadata from HEC modeling software.
• heystac — Command-line interface (CLI) to rate and crawl STAC
• hls_tools — Tools for working with the Harmonized Landsat Sentinel 2 remote sensing dataset
• hybig-py — Python package designed to produce browse imagery compatible with NASA's Global Image Browse Services (GIBS).
• hydromt — HydroMT: Automated and reproducible model building and analysis.
• insupdel4stac — A python-based module to ingest STAC metadata catalogs into STAC-databases like pgSTAC
• intake-stac — An intake adapter for building intake catalogs begining with SpatioTemporal Asset Catalogs (STAC)
• ipp-toolkit — A general framework for informative path planning experiments, with a focus on wrapping datasets, sensors, planners, and visualization in a modular manner
• l2ss-py — L2 Subsetter Service
• malpolon — Malpolon v2.1.2
• mapchete — Tile-based geodata processing using rasterio & Fiona
• mapminer — An advanced geospatial data extraction and processing toolkit for Earth observation datasets.
• maresb-copernicusmarine-unpin-numpy — A temporary workaround to use Copernicus Marine with Numpy v2
• mccn-engine — mccn engine
• mdps-ds-lib — Mission Data System - MDPS (Unity) Data Service Core library
• memories-dev — Collective Memory Infrastructure for AGI
• mlm-form — Runs a single page web app based on FastHTML to create Machine Learning Model metadata.
• mlstac — A machine learning model-sharing specification based on STAC MLM and Safetensors.
• odc — This package streamlines spatial analysis processes by integrating various libraries and developing first-party functions. It is designed as a low-code solution for spatial analysis.
• odc-apps-dc-tools — CLI utils for working with a datacube index
• odc-stac — Tooling for converting STAC metadata to ODC data model
• odc-stats — Statistical Product Generation Framework
• odp-sdk — ODP Python SDK
• openeo — Client API for openEO
• openeo-processes-dask — Python implementations of many OpenEO processes, dask-friendly by default.
• planetary-computer — Planetary Computer SDK for Python
• pydantic-pystac-extensions — Helper to build custom STAC extensions based on pydantic models
• pyeodh — A lightweight Python client for EODH APIs.
• pygeodes — A Python client for Geodes APIs
• pypgstac — Schema, functions and a python library for storing and accessing STAC collections and items in PostgreSQL
• pystac-client — Python library for searching SpatioTemporal Asset Catalog (STAC) APIs.
• pystac-generator — A python package and CLI tool for generating STAC catalog from spatial data files
• pystac-io — Python library providing additional IO implementations for PySTAC
• radiant-mlhub — A Python client for Radiant MLHub
• ras-stac — Create SpatioTemporal Asset Catalog (STAC) objects from HEC-RAS model data.
• rastervision-core — A rastervision plugin that adds geospatial machine learning pipelines
• rio-stac — Create STAC Items from raster datasets.
• rio-tiler — User friendly Rasterio plugin to read raster datasets.
• ripple1d — HEC-RAS model automation
• rov-db-access — no summary
• rs_client_libraries — Copernicus Sentinel rs-client library and processing workflows.
• s2stac — Create a STAC from local S2 data.
• satgpt — GPT for satellite mission planning. In development. Get your API keys ready!
• scikit-map — scikit-learn applied to mapping and spatial prediction
• SITS — Get satellite images time series
• smart-geocubes — A high-performance library for intelligent loading and caching of remote geospatial raster data, built with xarray and zarr.
• solafune-tools — Open tools for Solafune developers and Solafune hackers where can share developed tools in geospatial data
• space2stats-client — A Python client for accessing sub-national variation data through the Space2Stats API
• spotlite — Package to simplify working with Satellogic APIs
• STA2STAC — A Python Ecosystem for Harvesting Time Series data information from SensorthingsAPI (STA) and Cultivating STAC-Metadata.
• stac-api-validator — STAC API Validator
• stac-asset — Read and download STAC assets across platforms and providers
• stac-fastapi.nosql.mongo — An implementation of STAC API based on the FastAPI framework.
• stac-fastapi.pgstac — An implementation of STAC API based on the FastAPI framework and using the pgstac backend.
• stac-geoparquet — no summary
• stac-insitu — no summary
• stac-model — A PydanticV2 validation and serialization libary for the STAC ML Model Extension
• stac-table — Generate STAC Collections for tabular datasets.
• stac2dcache — Python tool to create and manipulate STAC catalogs on a dCache storage system
• stacchip — Dynamically create image chips from STAC items
• stactask — Class interface for running custom algorithms and workflows on STAC Items
• stactools — Command line tool and Python library for working with STAC
• stactools-core — Core subpackage of stactools, a command line tool and Python library for working with STAC.
• stactools-esa-cci-lc — stactools package for ESA''s Climate Change Initiative (CCI) Land Cover (LC) product
• stactools-esa-worldcover — stactools package for ESA WorldCover data
• stactools-fws-nwi — stactools package for the National Wetlands Inventory (NWI) product provided by the U.S. Fish and Wildlife Service (FWS)
• stactools-glad-glclu2020 — GLAD Land Use Land Cover 2020 stactools packages
• stactools-glad-global-forest-change — stactools package for the GLAD Global Forest Change dataset