RaptorBT is a high-performance backtesting engine written in Rust with Python bindings via PyO3. It serves as a drop-in replacement for VectorBT, providing significant performance improvements while maintaining full metric parity.
Derived from this repo's Cargo dependencies and activity — difficulty is an estimate from codebase size and scope.
Matched by dependency overlap in Cargo manifests — each card notes the most distinctive crates both projects share.
RaptorBT is a high-performance backtesting engine written in Rust with Python bindings via PyO3. It serves as a drop-in replacement for VectorBT, providing significant performance improvements while maintaining full metric parity.
High-performance time series econometrics: Rust core, Python-first API — validated estimators, a 15-chapter guide, and honest inference by default
nucleic acid folding
Rust crate for Beacon Atlas relay — AI agent registration, heartbeat, SEO-enhanced discoverability. Published on crates.io.
Universal memory runtime for AI agents
Contract-driven runtime for portable business capabilities — spec-governed, WASM-first, composable across browser, edge, cloud, and AI.
Run AI harnesses like Claude Code, Codex, Copilot, Antigravity, and Omnigent in disposable workspace forks. Review, merge, or roll back changes with policy enforcement and provenance.
A vector index built on TurboQuant, written in Rust with Python bindings
Contract-driven runtime for portable business capabilities — spec-governed, WASM-first, composable across browser, edge, cloud, and AI.
This Anti-Cheat is local server based and fully open source. it's user space