head to head · open source

gs-quant vs black-hat-rust

gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. black-hat-rust has 4,456 stars, 445 forks, 7 open issues and last shipped 1.1 years ago. gs-quant leads on adoption by 211% (13,876 vs 4,456 stars). gs-quant is written in Python under Apache-2.0; black-hat-rust is written in Rust under MIT. gs-quant has attracted 14% as many forks as stars, black-hat-rust 10%. gs-quant was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

gs-quant ★ 14K black-hat-rust ★ 4.5K category Business Software

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Side by side

gs-quant black-hat-rust
GitHub stars ★ 14K ★ 4.5K
License Apache-2.0 MIT
Written in Python Rust
Last push 2026-10-28 2025-10-01
Forks ⑂ 1.9K ⑂ 445
Self-hosting Yes Yes
Data ownership Your server Your server

pick gs-quant if

  • You weight community size — 14K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full gs-quant profile →

pick black-hat-rust if

  • You want the black-hat-rust feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Rust
  • You evaluated both and black-hat-rust fits your workflow better

full black-hat-rust profile →

About gs-quant

GS Quant GS Quant is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets. It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics…

read the full gs-quant overview →

About black-hat-rust

Black Hat Rust Applied offensive security with the Rust programming language Buy the book now! While the Rust Book does an excellent job teaching What is Rust, a book about Why and How to Rust was missing. Summary Whether in movies or mainstream media, hackers are often romanticized: they are painted as black magic wizards, nasty criminals, or, in the worst cases, as thieves with a hood and a crowbar. In reality, the spectrum of the profile of the attackers is extremely large, from the bored teenager exploring the internet to sovereign State's armies as well as the unhappy former employee. What are the…

read the full black-hat-rust overview →

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Frequently asked questions

Is gs-quant or black-hat-rust more popular?

gs-quant has 13,876 GitHub stars and black-hat-rust has 4,456. gs-quant has the larger community by that measure.

Are gs-quant and black-hat-rust free?

Both are open source. gs-quant is licensed under Apache-2.0 and black-hat-rust under MIT. Neither carries a licence fee.

What is the difference between gs-quant and black-hat-rust?

gs-quant is written in Python and black-hat-rust in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, gs-quant or black-hat-rust?

Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose black-hat-rust if its feature set, stack or MIT licence fits better. Both are self-hostable.