A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens.

Read-only JavaScript/TypeScript reader for Icechunk repositories, designed for use with zarrita.

Client-side, WebGL2 GeoTIFF & Zarr visualization in deck.gl

Render markdown into email-safe HTML

A collection of tools for GeoParquet, built on DuckDB, GDAL & Obstore

A map-first STAC search and visualization tool, with stac-geoparquet support

lakeFS - Data version control for your data lake | Git for data

A Rust-powered vector tile generator for R, Python, and DuckDB.

Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.

A library for drawing on maps that supports Mapbox, MapLibre, Google Maps, OpenLayers and Leaflet out the box

Compare results from MIKE and other simulations with measurements

Multi-platform high-performance compute language extension for Rust.

⚡ A fast Git hook manager written in Rust, designed as a drop-in alternative to pre-commit, reimagined.

Spatial L-Moments of Annual Maxima (SLAM) is a procedure for drawing transposition domains

A browser-based visualization framework for exploring and analyzing Zarr and NetCDF datasets.

Build full-stack apps on your own infrastructure.

A Rust library for the Zarr storage format for multidimensional arrays and metadata

Custom Context Menu for OpenLayers

Build production-ready applications in TypeScript

Open Data Cube analyses continental scale Earth Observation data through time

🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platfor…

Forked UI for MinIO Object Storage

A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps

flexible zarr rendering for maplibre and mapbox maps

Best Practices for STAC

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.