Tools tagged with "Rust"

async-tiff is an open-source library designed for asynchronously reading TIFF files, specifically catering to geospatial applications. It provides robust capabilities for handling large TIFF datasets efficiently in both Rust and Python environments, making it suitable for modern data processing workflows. This project facilitates the integration of TIFF data into high-performance computing and cloud-native architectures.

geopolars provides specialized geospatial capabilities built upon the high-performance Polars DataFrame library. It enables users to perform complex spatial operations and analyses directly within the Polars framework, leveraging its speed and memory efficiency. This project aims to integrate robust geospatial data handling into a modern data processing ecosystem.

WhiteboxTools is an advanced geospatial data analysis platform designed for environmental applications, offering a comprehensive suite of tools for processing and analyzing various types of geospatial data. It serves as a powerful resource for researchers, students, and professionals in the field of geospatial science.

rgis is a high-performance, cross-platform Geographic Information System (GIS) application. It is developed using the Rust programming language, enabling its deployment across both web and desktop environments. This tool is designed for efficient geospatial data processing and visualization.

FlatGeobuf provides a high-performance binary encoding solution for geographic data, utilizing flatbuffers to store collections of Simple Features, including circular interpolations. It is engineered for handling large volumes of static data, offering substantially faster performance compared to legacy formats without limitations on content or metadata size. The format supports streaming, random access, and includes an optional spatial index based on a packed Hilbert R-Tree for rapid bounding box spatial filtering.

Martin is an open-source, high-performance tile server designed for geospatial data. It provides efficient serving of tiles from PostGIS databases, MBtiles, and PMtiles formats. Additionally, it offers robust tooling for tile generation and management, making it a comprehensive solution for web mapping applications.

This GitHub repository serves as a comprehensive "awesome list" dedicated to geospatial development using the Rust programming language. It meticulously collects and organizes a wide array of software, libraries, tools, and various resources. The list aims to be a central hub for anyone interested in leveraging Rust for geospatial applications and projects.

GeoArrow-rs is an open-source project implementing the GeoArrow specification for high-performance geospatial data processing. It provides bindings for Rust, Python, and JavaScript (via WebAssembly), enabling efficient, vectorized geometry operations across various environments. This project aims to standardize and accelerate geospatial data workflows.

This Rust library provides an implementation of the Geohash algorithm, enabling efficient encoding and decoding of longitude-latitude tuples into and from hashed strings. It facilitates spatial indexing and proximity searches by converting precise geographic coordinates into a compact, searchable string format.