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RustQuant

Other tools★ 1,822 GitHub starsRust⏱ Last commit 7 days ago

Quantitative finance library written in Rust

What it is

An open-source quantitative finance library for Rust covering pricing, stochastic modelling, and supporting analytics. Its modules include instruments such as bonds and options with pricing, stochastic process generators for Brownian motion and short-rate models like CIR, Hull-White, and Vasicek, algorithmic adjoint differentiation, statistical distributions, day counters and calendars, a limit order book, and Yahoo! Finance data download. Quants and developers comfortable with Rust who want programmable building blocks rather than a packaged product are the natural audience. Several areas, such as machine learning and trading tools, are still limited in scope, with instruments like swaps and futures planned rather than implemented.

At a glance

Worth watchingOur rating, based on popularity, maintenance and how ready it is for real use.

Best forProfessional quants
Used forStrategy research, Data analysis
MarketsMulti-market
StackRust
Learning curveSteep learning curve
Practical valueMedium practical value
CostFree and open source
HardwareNo GPU needed
MaintenanceLast commit 7 days ago

GitHub stars, last 30 days

Daily snapshots since 2026-09-12 (up to 30 days): 0 over the period, now 1,822. Gaps mean no snapshot was taken that day.

In the author's words

Quantitative finance library written in Rust.

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