head to head · open source

gs-quant vs kyverno

gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. kyverno has 8,310 stars, 1,693 forks, 703 open issues and last shipped yesterday. gs-quant leads on adoption by 67% (13,876 vs 8,310 stars). gs-quant is written in Python under Apache-2.0; kyverno is written in Go under Apache-2.0. gs-quant has attracted 14% as many forks as stars, kyverno 20%. kyverno 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 kyverno ★ 8.3K category Business Software

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Side by side

gs-quant kyverno
GitHub stars ★ 14K ★ 8.3K
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

full gs-quant profile →

pick kyverno if

  • You want the kyverno 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 kyverno fits your workflow better

full kyverno 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 kyverno

Kyverno Cloud Native Policy Management 🎉 📑 Table of Contents About Kyverno Non Goals Documentation Demos & Tutorials Popular Use Cases Explore the Policy Library Getting Help Contributing Software Bill of Materials Contributors License About Kyverno Kyverno is a Kubernetes native policy engine designed for platform engineering teams. It enables security, compliance, automation, and governance through policy as code. Kyverno can: Validate, mutate, generate, and clean up resources using Kubernetes admission controls and background scans. Verify container image signatures for supply chain security. Operate with…

read the full kyverno overview →

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Frequently asked questions

Is gs-quant or kyverno more popular?

gs-quant has 13,876 GitHub stars and kyverno has 8,310. gs-quant has the larger community by that measure.

Are gs-quant and kyverno free?

Both are open source. gs-quant is licensed under Apache-2.0 and kyverno under Apache-2.0. Neither carries a licence fee.

What is the difference between gs-quant and kyverno?

gs-quant is written in Python and kyverno 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 kyverno?

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