head to head · open source
gs-quant vs opa
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. opa has 12,423 stars, 1,705 forks, 310 open issues and last shipped yesterday. gs-quant leads on adoption by 12% (13,876 vs 12,423 stars). gs-quant is written in Python under Apache-2.0; opa is written in Go under Apache-2.0. gs-quant has attracted 14% as many forks as stars, opa 14%. opa 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 | opa | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 12K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-10-28 | 2026-11-02 |
| Forks | ⑂ 1.9K | ⑂ 1.7K |
| 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 opa if
- You want the opa feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and opa 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 opa
Open Policy Agent Open Policy Agent (OPA) is an open source, general purpose policy engine that enables unified, context aware policy enforcement across the entire stack. OPA is proud to be a graduated project in the Cloud Native Computing Foundation (CNCF) landscape. For details read the CNCF announcement. Get started with OPA Write your first Rego policy with the Rego Playground or use it to share your work with others for feedback and support. Have a look at the Access Control examples if you're not sure where to start. Install the VS Code extension to get started locally with live diagnostics, debugging and…
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Frequently asked questions
Is gs-quant or opa more popular?
gs-quant has 13,876 GitHub stars and opa has 12,423. gs-quant has the larger community by that measure.
Are gs-quant and opa free?
Both are open source. gs-quant is licensed under Apache-2.0 and opa under Apache-2.0. Neither carries a licence fee.
What is the difference between gs-quant and opa?
gs-quant is written in Python and opa in Go. 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 opa?
Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose opa if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.