{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"}],"enrichment":{"capability":"Adds Machine Learning Model extension support to PySTAC, enabling description of ML model architecture, framework, inputs, outputs, training details, and runtime information within STAC catalogs.","skillfed_tags":["stac-extension","ml-metadata","geospatial"],"use_cases":["Catalog machine learning models used in geospatial analysis alongside the satellite or raster imagery they process.","Document model architecture, training datasets, and performance metrics within a STAC collection for reproducibility.","Track ML model lineage and versioning when models are retrained or updated in a data pipeline.","Integrate ML model metadata with classification and raster extensions to describe end-to-end geospatial ML workflows.","Enable discovery of trained models by framework, input/output format, or training approach in a searchable STAC catalog."],"what_it_does":"pystac-ext-mlm is a PySTAC extension package that implements the Machine Learning Model extension specification for STAC (SpatioTemporal Asset Catalog). It allows you to attach standardized ML model metadata to STAC items and collections, describing model architecture, the framework used, input and output specifications, training configuration, and runtime requirements. This is useful when cataloging machine learning models alongside the geospatial or scientific data they operate on.\n\nThe package is tightly integrated with the PySTAC ecosystem and depends on pystac-core, pystac-ext-classification, and pystac-ext-raster. It supports multiple versions of the MLM specification (v1.0.0 through v1.4.0) and follows semantic versioning aligned to the extension spec version. The package is actively maintained, marked Production/Stable, and requires Python 3.10 or later.","worth_installing":"Yes. Active maintenance (released 4 days ago), Production/Stable status, permissive Apache-2.0 license, no known vulnerabilities, and low install friction make this a safe choice. Install it if you are already using PySTAC and need to catalog machine learning models with standardized metadata. The tight coupling to pystac-core and related extensions means it integrates seamlessly into existing PySTAC workflows."},"id":"pystac-ext-mlm","links":{"html":"https://skillfed.io/packages/pystac-ext-mlm","md":"https://skillfed.io/packages/pystac-ext-mlm.md","pypi":"https://pypi.org/project/pystac-ext-mlm/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"pystac-ext-mlm","python_support":"supports_current","summary":"Machine Learning Model extension for PySTAC"},"popularity":{"monthly_downloads":3981844,"position":2417,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.4.1"}