head to head · open source
gs-quant vs FinancePy
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. FinancePy has 3,210 stars, 468 forks, 58 open issues and last shipped 4 days ago. gs-quant leads on adoption by 332% (13,876 vs 3,210 stars). gs-quant is written in Python under Apache-2.0; FinancePy is written in Python under GPL-3.0. gs-quant has attracted 14% as many forks as stars, FinancePy 15%. 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 20902 open source comparisons
Side by side
| gs-quant | FinancePy | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 3.2K |
| License | Apache-2.0 | GPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-10-28 | 2026-10-30 |
| Forks | ⑂ 1.9K | ⑂ 468 |
| 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 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 Python
- You evaluated both and FinancePy 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 FinancePy
FinancePy A one stop library for pricing and risk managing options, futures and other financial instruments. See below for a comprehensive overview. First Installation FinancePy can be installed from pip using the following command: pip install financepy To upgrade an existing installation type: pip install upgrade financepy Then start a Python terminal and type from financepy.utils import Here is a quick check to make sure it all loaded. Type You should see Warning: You may notice that the library can take several seconds to import after the first install if you do a wildcard import of classes which rely on…
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 13,876 GitHub stars and FinancePy has 3,210. 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 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 FinancePy?
Choose gs-quant if you want the larger community (13,876 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.