head to head · open source

gs-quant vs opa

gs-quant has 12,974 GitHub stars, 1,752 forks, 73 open issues and last shipped 2 days ago. opa has 12,244 stars, 1,685 forks, 310 open issues and last shipped yesterday. gs-quant leads on adoption by 6% (12,974 vs 12,244 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.

gs-quant ★ 13K opa ★ 12K category Business Software

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Side by side

gs-quant opa
GitHub stars ★ 13K ★ 12K
License Apache-2.0 Apache-2.0
Written in Python Go
Last push 2026-09-16 2026-09-17
Forks ⑂ 1.8K ⑂ 1.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick gs-quant if

  • You weight community size — 13K 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 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

full opa profile →

About gs-quant

GS Quant is an Apache 2.0 Python toolkit for quantitative finance, maintained by quantitative developers at Goldman Sachs, and it is intended for quants and institutional clients of the bank who build derivative pricing, trading strategy and risk management workflows on top of Goldman Sachs' risk transfer platform.

read the full gs-quant overview →

About opa

Open Policy Agent (OPA) is an open source, general purpose policy engine that enables unified, context aware policy enforcement across the entire stack. It lives in the cloud native ecosystem as a graduated project in the Cloud Native Computing Foundation landscape, and it is written in Go under the Apache 2.0 license. Policy is expressed declaratively in the Rego language, and the project ships alongside a CLI, an HTTP REST API, a Go SDK, and editor tooling rather than as a single binary alone. The repository has been active for roughly eleven years, with 12,234 stars, 1,679 forks, and a last push dated 15 Septe…

read the full opa overview →

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Compare either of these against the rest of the Compliance & Risk Management field.

gs-quant vs lighthouse gs-quant vs teleport gs-quant vs lynis gs-quant vs prowler gs-quant vs Amphion gs-quant vs checkov gs-quant vs kyverno gs-quant vs aircrack-ng gs-quant vs tfsec gs-quant vs rundeck gs-quant vs agent-governance-toolkit gs-quant vs laravel-activitylog

Frequently asked questions

Is gs-quant or opa more popular?

gs-quant has 12,974 GitHub stars and opa has 12,244. 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 (12,974 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.