head to head · open source
gs-quant vs FinancePy
gs-quant has 12,974 GitHub stars, 1,752 forks, 73 open issues and last shipped 2 days ago. FinancePy has 3,151 stars, 441 forks, 58 open issues and last shipped 2 days ago. gs-quant leads on adoption by 312% (12,974 vs 3,151 stars). gs-quant is written in Python under Apache-2.0; FinancePy is written in Jupyter Notebook under GPL-3.0. gs-quant has attracted 14% as many forks as stars, FinancePy 14%. FinancePy was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (derivatives), so they are genuine substitutes rather than adjacent tools.
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 8884 open source comparisons
Side by side
| gs-quant | FinancePy | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 3.2K |
| License | Apache-2.0 | GPL-3.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-09-16 | 2026-09-16 |
| Forks | ⑂ 1.8K | ⑂ 441 |
| 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
pick FinancePy if
- You want the FinancePy feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Jupyter Notebook
- You evaluated both and FinancePy fits your workflow better
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 FinancePy
FinancePy Python library pricing risk managing financial derivatives. Covers fixed income, equity, foreign exchange, credit products. Lives Python quantitative finance ecosystem. Category Business Software / Compliance & Risk Management. Language listed Jupyter Notebook. License GPL 3.0. Code organized market data, models, products, utilities dates, calendars, day counts, schedules.
read the full FinancePy 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 FinancePy more popular?
gs-quant has 12,974 GitHub stars and FinancePy has 3,151. gs-quant has the larger community by that measure.
Are gs-quant and FinancePy free?
Both are open source. gs-quant is licensed under Apache-2.0 and FinancePy under GPL-3.0. Neither carries a licence fee.
What is the difference between gs-quant and FinancePy?
gs-quant is written in Python and FinancePy in Jupyter Notebook. 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 FinancePy?
Choose gs-quant if you want the larger community (12,974 stars) or its Apache-2.0 licence terms. Choose FinancePy if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.