Xeondb is a real-time big data database that is designed to be fast, efficient, and easy to use. It is built on top of a custom storage engine that is optimized for high performance and low latency.
High-performance, cross-platform User-Agent parser: one Go core for Go, Java, Node.js, Python, plus a REST service and WASM/browser. Client Hints (Sec-CH-UA) priority, bot & AI-crawler detection, and a regex + correction database that hot-updates at runtime — no redeploy.
A high-performance, pure Rust toolkit for standardizing and preparing biomolecular systems (proteins & nucleic acids). It heals missing atoms, resolves protonation states, adds solvation, and unifies topologies to forge simulation-ready structures.
High-performance, hardware-aware Layer 0 deduplication engine. Uses 4-tier short-circuit logic (Size → Fringe → Full Hash) with xxHash128 to eliminate exact duplicates before they enter your processing pipeline. Python 3.11+, uv, SQLite.
Faster.Map — A blazing-fast, memory-efficient HashMap library for .NET. Featuring SIMD-optimized DenseMap, lock-free CMap, and high-performance BlitzMap implementations designed for extreme speed, scalability, and low memory overhead. Ideal for real-time systems, caching engines, and high-density data workloads.
A high-performance, pure Rust library for full-atom protein side-chain packing using the DREIDING force field, Goldstein+Split DEE, and tree-decomposition DP—with native protein–ligand and protein–nucleic acid interface support.
A reactive atomic state engine for React(including React 18) and all React like, carrying dependency collection feature, supporting fine-grained updates.
A high-performance, generic-based concurrent data aggregation library for Go. Optimized for extreme throughput with sharded maps, zero data-loss Fallback queuing, and safe sync.Pool memory management.