head to head · open source

gs-quant vs Comp AI

gs-quant has 12,974 GitHub stars, 1,752 forks, 73 open issues and last shipped 2 days ago. Comp AI has 1,968 stars, 415 forks, 36 open issues and last shipped 9 days ago. gs-quant leads on adoption by 559% (12,974 vs 1,968 stars). gs-quant is written in Python under Apache-2.0; Comp AI is written in TypeScript under AGPL-3.0. gs-quant has attracted 14% as many forks as stars, Comp AI 21%. 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 ★ 13K Comp AI ★ 2.0K category Business Software

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Side by side

gs-quant Comp AI
GitHub stars ★ 13K ★ 2.0K
License Apache-2.0 AGPL-3.0
Written in Python TypeScript
Last push 2026-09-16 2026-09-09
Forks ⑂ 1.8K ⑂ 415
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 Comp AI if

  • You want the Comp AI feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and Comp AI fits your workflow better

full Comp AI 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 Comp AI

Comp AI is an open source compliance platform written in TypeScript and released under the AGPL 3.0 license. It is positioned as an AI native alternative to paid compliance products such as Vanta and Drata, and it targets companies that need audit ready coverage for SOC 2, ISO 27001, HIPAA, and GDPR. The project lives in the Next.js, Prisma, and Auth.js ecosystem, with a cloud hosted option and a self hostable codebase.

read the full Comp AI 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 opa 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

Frequently asked questions

Is gs-quant or Comp AI more popular?

gs-quant has 12,974 GitHub stars and Comp AI has 1,968. gs-quant has the larger community by that measure.

Are gs-quant and Comp AI free?

Both are open source. gs-quant is licensed under Apache-2.0 and Comp AI under AGPL-3.0. Neither carries a licence fee.

What is the difference between gs-quant and Comp AI?

gs-quant is written in Python and Comp AI in TypeScript. 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 Comp AI?

Choose gs-quant if you want the larger community (12,974 stars) or its Apache-2.0 licence terms. Choose Comp AI if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.