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Development Seed
- developmentseed.org
- @j08lue
Stars
PostgreSQL backend for stac-fastapi using pgstac (https://github.com/stac-utils/pgstac)
Convert STAC items between JSON, GeoParquet, pgstac, and Delta Lake.
Schema, functions and a python library for storing and accessing STAC collections and items in PostgreSQL
UI to update collection and item meta data in STAC catalogs
High-performance In-browser LLM Inference Engine
TiTiler application for EOPF dataset
Specification for cloud-native URL pipelines that can reference zarr arrays and other resources within cloud storage and nested formats like zip, OCDBT, icechunk
normalizes and harmonizes logo visuals
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
An agentic skills framework & software development methodology that works.
Crossplane v2 powered abstraction that turns "datalab" provisioning into a clean, versioned API
Open Source AI Platform - AI Chat with advanced features that works with every LLM
Construct and use OGC TileMatrixSets (TMS)
Recovered cia.gov/the-world-factbook/about/archives/download/factbook-2020.zip from Internet Archive
A full-fledged UI in Vue for browsing and searching static STAC catalogs and STAC APIs
flexible zarr rendering for maplibre and mapbox maps
[CVPR26] TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambr…
CesiumJS providers for interactive 2D and 3D visualization of environmental and geospatial data stored in Zarr.
This repository describes the process for accessing Destination Earth DT data via the Polytope web service hosted on the LUMI Databridge.
[ICLR 2025] ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models
eoAPI Kubernetes deployments with helm charts.
Python module to decode/encode Geohashes to/from latitude and longitude. See http://en.wikipedia.org/wiki/Geohash
A library for encoding and decoding coverageJSON files/objects of meteorlogical features such as vertical profiles and time series.