head to head · open source
gs-quant vs FinanceToolkit
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. FinanceToolkit has 5,488 stars, 641 forks, 10 open issues and last shipped 2 days ago. gs-quant leads on adoption by 153% (13,876 vs 5,488 stars). gs-quant is written in Python under Apache-2.0; FinanceToolkit is written in Python under MIT. gs-quant has attracted 14% as many forks as stars, FinanceToolkit 12%. FinanceToolkit 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.
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Side by side
| gs-quant | FinanceToolkit | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 5.5K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-10-28 | 2026-11-01 |
| Forks | ⑂ 1.9K | ⑂ 641 |
| 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 FinanceToolkit if
- You want the FinanceToolkit feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and FinanceToolkit 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 FinanceToolkit
While browsing a variety of websites, I repeatedly observed significant fluctuations in the same financial metric among different sources. Similarly, the reported financial statements often didn't line up, and there was limited information on the methodology used to calculate each metric. For example, Microsoft's Price to Earnings (PE) ratio on the 6th of May, 2023 is reported to be 28.93 (Stockopedia), 32.05 (Morningstar), 32.66 (Macrotrends), 33.09 (Finance Charts), 33.66 (Y Charts), 33.67 (Wall Street Journal), 33.80 (Yahoo Finance) and 34.4 (Companies Market Cap). All of these calculations are correct…
read the full FinanceToolkit overview →
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Frequently asked questions
Is gs-quant or FinanceToolkit more popular?
gs-quant has 13,876 GitHub stars and FinanceToolkit has 5,488. gs-quant has the larger community by that measure.
Are gs-quant and FinanceToolkit free?
Both are open source. gs-quant is licensed under Apache-2.0 and FinanceToolkit under MIT. Neither carries a licence fee.
What is the difference between gs-quant and FinanceToolkit?
gs-quant is written in Python and FinanceToolkit 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 FinanceToolkit?
Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose FinanceToolkit if its feature set, stack or MIT licence fits better. Both are self-hostable.