t-rex is a vector tile server specialized on publishing MVT tiles from your own data

🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, Du…

The Memory layer for your AI apps

Transform JSON objects using vector embeddings

Bring portraits to life!

Extract a street network from Openstreetmap as a graph ready for routing

Blender addons to make the bridge between Blender and geographic data

Library for serializing the GeoJSON vector GIS file format

Serialization framework for Rust

Build Postgres Extensions with Rust!

Rust bindings for the latest stable release of PROJ

Geospatial primitives and algorithms for Rust

N-D labeled arrays and datasets in Python

Basemap PMTiles generation and cartographic styles for OpenStreetMap data and more

Rust bindings for GDAL

Tutorials for making 3D-looking maps with Blender and QGIS

MapProxy is a tile cache and WMS proxy

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

A flexible web-based editor, converter, visualization tool, for geospatial data

Zero-Copy reading and writing of geospatial data.

Typer, build great CLIs. Easy to code. Based on Python type hints.

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

Extract full next-token probabilities via language model APIs

You know the difference is between you and me? 😎 I make this look good.

Source code of the MapServer project. Please submit pull requests to the 'main' branch.

A Rust library for reading the OpenStreetMap PBF file format (*.osm.pbf).

🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp

OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

Distribute and run LLMs with a single file.