#bindings

The fast, header-only C++ library mlpack provides flexible machine learning solutions with bindings for Python, R, Julia, and Go. Designed as a versatile tool similar to LAPACK, it facilitates quick integration, deployment, and interactive prototyping across various machine learning methods. Discover its robust C++ interface and comprehensive documentation for advancing machine learning projects.

jieba-rs offers a Rust-based implementation of the Jieba Chinese word segmentation tool, performing 33% faster than cppjieba. It supports features like TF-IDF and TextRank for keyword extraction. Integration is straightforward by including it in Cargo dependencies, and it has bindings for NodeJS, PHP, Python, and WebAssembly. Licensed under MIT, jieba-rs is a versatile and efficient open-source option for enhancing text processing capabilities.

The simdjson library significantly enhances JSON parsing by utilizing SIMD instructions and microparallel algorithms, achieving speeds over 4x faster than traditional parsers. Its capabilities extend to efficient JSON minification, UTF-8 validation, and NDJSON processing, providing reliable results. The library is user-friendly, requiring no configuration and automatically selecting the optimal parser based on the CPU. It is peer-reviewed, contributing to Modern C++ projects, and is widely applicable across various platforms like Node.js, ClickHouse, and Google Pax.