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gs-quant
Goldman Sachs Python toolkit for derivatives and risk
What it is
A Python toolkit for quantitative finance, built and maintained by quants at Goldman Sachs on top of its risk transfer platform. It supports developing quantitative trading strategies, structuring and trading derivatives, managing risk, and general data analytics through statistical packages. Quantitative developers working on trading strategies or derivative products are its natural audience. API access requires a client id and secret available to institutional clients of Goldman Sachs, so individual or non-institutional users cannot use the full functionality without that relationship.
At a glance
RecommendedOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Professional quants |
|---|---|
| Used for | Data analysis, Strategy research |
| Markets | Multi-market |
| Stack | Python |
| Learning curve | Moderate learning curve |
| Practical value | High practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | Last commit 4 days ago |
GitHub stars, last 30 days
Daily snapshots since 2026-09-12 (up to 30 days): +211 over the period, now 13,145. Gaps mean no snapshot was taken that day.
Python toolkit for quantitative finance.
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