head to head · open source
gs-quant vs agent-governance-toolkit
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. agent-governance-toolkit has 6,509 stars, 1,123 forks, 176 open issues and last shipped yesterday. gs-quant leads on adoption by 113% (13,876 vs 6,509 stars). gs-quant is written in Python under Apache-2.0; agent-governance-toolkit is written in Python under MIT. gs-quant has attracted 14% as many forks as stars, agent-governance-toolkit 17%. agent-governance-toolkit 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.
← all 20902 open source comparisons
Side by side
| gs-quant | agent-governance-toolkit | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 6.5K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-10-28 | 2026-11-02 |
| Forks | ⑂ 1.9K | ⑂ 1.1K |
| 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 agent-governance-toolkit if
- You want the agent-governance-toolkit feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and agent-governance-toolkit 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 agent-governance-toolkit
🌍 English 日本語 简体中文 한국어 Agent Governance Toolkit Ship agents to production without losing sleep 🚀 Quick Start · 📋 Specifications · 📦 PyPI · 📝 Changelog brightgreen) [!IMPORTANT] Public Preview production quality public preview releases. May have breaking changes before GA. Policy enforcement, identity, sandboxing, and SRE for autonomous AI agents. One pip install , any framework. The Problem Your AI agents call tools, browse the web, query databases, and delegate to other agents. Once deployed, they make decisions autonomously. You need answers to three questions: 1. Is this action allowed? An agent with…
read the full agent-governance-toolkit overview →
More in Business Software
Related comparisons
More Compliance & Risk Management projects
Compare either of these against the rest of the Compliance & Risk Management field.
Frequently asked questions
Is gs-quant or agent-governance-toolkit more popular?
gs-quant has 13,876 GitHub stars and agent-governance-toolkit has 6,509. gs-quant has the larger community by that measure.
Are gs-quant and agent-governance-toolkit free?
Both are open source. gs-quant is licensed under Apache-2.0 and agent-governance-toolkit under MIT. Neither carries a licence fee.
What is the difference between gs-quant and agent-governance-toolkit?
gs-quant is written in Python and agent-governance-toolkit 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 agent-governance-toolkit?
Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose agent-governance-toolkit if its feature set, stack or MIT licence fits better. Both are self-hostable.