head to head · open source
gs-quant vs bernstein
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. bernstein has 1,347 stars, 187 forks, 368 open issues and last shipped yesterday. gs-quant leads on adoption by 930% (13,876 vs 1,347 stars). gs-quant is written in Python under Apache-2.0; bernstein is written in Python under Apache-2.0. gs-quant has attracted 14% as many forks as stars, bernstein 14%. bernstein 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.
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Side by side
| gs-quant | bernstein | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 1.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-28 | 2026-11-02 |
| Forks | ⑂ 1.9K | ⑂ 187 |
| 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
pick bernstein if
- You want the bernstein feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and bernstein fits your workflow better
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 bernstein
"To achieve great things, two things are needed: a plan and not quite enough time." attributed to Leonard Bernstein the open source governance layer for AI agents website · docs · install · first run · glossary · limitations · name policy · discord · sponsor 简体中文 · 繁體中文 · 日本語 · 한국어 · हिन्दी · বাংলা · Русский · Español · Português · Deutsch · Français · Italiano · Nederlands · Polski · Svenska · Suomi · Українська · Türkçe · العربية…
read the full bernstein overview →
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Frequently asked questions
Is gs-quant or bernstein more popular?
gs-quant has 13,876 GitHub stars and bernstein has 1,347. gs-quant has the larger community by that measure.
Are gs-quant and bernstein free?
Both are open source. gs-quant is licensed under Apache-2.0 and bernstein under Apache-2.0. Neither carries a licence fee.
What is the difference between gs-quant and bernstein?
gs-quant is written in Python and bernstein in Python. 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 bernstein?
Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose bernstein if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.