head to head · open source
gs-quant vs tradememory-protocol
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. tradememory-protocol has 1,437 stars, 170 forks, 1 open issues and last shipped 11 days ago. gs-quant leads on adoption by 866% (13,876 vs 1,437 stars). gs-quant is written in Python under Apache-2.0; tradememory-protocol is written in Python under MIT. gs-quant has attracted 14% as many forks as stars, tradememory-protocol 12%. gs-quant 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 | tradememory-protocol | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 1.4K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-10-28 | 2026-10-23 |
| Forks | ⑂ 1.9K | ⑂ 170 |
| 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 tradememory-protocol if
- You want the tradememory-protocol feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and tradememory-protocol 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 tradememory-protocol
Getting Started Use Cases API Reference OWM Framework Limitations 中文版 Project status (August 2026): Feature complete, in maintenance mode — bug and security reports are still reviewed; no new features or hosted service are planned. For paid work, see Trading Record Analysis. Your trading AI has amnesia. And regulators are starting to notice. It makes the same mistakes every session. It can't explain why it traded. It forgets everything when the context window ends. Meanwhile, MiFID II is raising the bar for algorithmic decision documentation (Article 17). The EU AI Act demands systematic logging of AI actions…
read the full tradememory-protocol overview →
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Frequently asked questions
Is gs-quant or tradememory-protocol more popular?
gs-quant has 13,876 GitHub stars and tradememory-protocol has 1,437. gs-quant has the larger community by that measure.
Are gs-quant and tradememory-protocol free?
Both are open source. gs-quant is licensed under Apache-2.0 and tradememory-protocol under MIT. Neither carries a licence fee.
What is the difference between gs-quant and tradememory-protocol?
gs-quant is written in Python and tradememory-protocol 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 tradememory-protocol?
Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose tradememory-protocol if its feature set, stack or MIT licence fits better. Both are self-hostable.