The modern STAC software ecosystem
2026-09-01 , Ran2

A tour of the latest-and-greatest in the STAC software ecosystem, with a focus on demonstrations and use-cases.


The SpatioTemporal Asset Catalog (STAC) specification celebrated its fifth birthday in May. A key part of STAC’s adoption story is its robust, community-supported ecosystem of software and applications, with clients and APIs written in a variety of languages. Without a single company or entity driving development, STAC software advances and maintenance have been a story of self-organization, individual initiative, and collaboration.

The STAC software ecosystem can be complex and hard-to-navigate, especially to newcomers. In this talk, we’ll walk you through the key software repositories and applications, with a focus on practical demonstrations and use-cases.

There’s been some advances over the last year that we’ll highlight:

  • Better tooling and support for stac-geoparquet
  • In-browser visualization advances in stac-browser and stac-map
  • A major update to the core Python STAC software package, PySTAC v2.0, including obstore support, cleaner read-write semantics, and better extension hooks

We’ll also talk about plans for the coming year, and provide pointers on places where you or your organization can plug in!


Level of technical complexity: 2 - intermediate Indicate what is (are) the open source project(s) essential in your talk:

https://github.com/stac-utils/pystac
https://github.com/stac-utils/pystac-client
https://github.com/stac-utils/rustac
https://github.com/radiantearth/stac-browser/
https://github.com/developmentseed/stac-map

I make my conference contribution available under the CC BY 4.0 license. The conference contribution comprises the abstract, the text contribution for the conference proceedings, the presentation materials as well as the video recording and live transmission of the presentation:

Pete Gadomski is an open source geospatial software engineer at Development Seed living in Longmont, CO. His focus is on the intersection between commercial and government remote sensing, with a side hobby in building Rust tooling for geospatial.