head to head · open source
gs-quant vs appshark
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. appshark has 1,755 stars, 182 forks, 17 open issues and last shipped 2 months ago. gs-quant leads on adoption by 691% (13,876 vs 1,755 stars). gs-quant is written in Python under Apache-2.0; appshark is written in Kotlin under Apache-2.0. gs-quant has attracted 14% as many forks as stars, appshark 10%. 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 | appshark | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 1.8K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Kotlin |
| Last push | 2026-10-28 | 2026-09-16 |
| Forks | ⑂ 1.9K | ⑂ 182 |
| 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 appshark if
- You want the appshark feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Kotlin
- You evaluated both and appshark 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 appshark
Document Index 1.overview 2.startup 3.how to write rules 4.how to find compliance problems use appshark 5.a path traversal game 6.argument 7.engine config 8.result 9.faq AppShark Appshark is a static taint analysis platform to scan vulnerabilities in an Android app. Prerequisites Appshark requires a specific version of JDK JDK 11. After testing, it does not work on other LTS versions, JDK 8 and JDK 16, due to the dependency compatibility issue. Building/Compiling AppShark We assume that you are working in the root directory of the project repo. You can build the whole project with the gradle tool. After…
read the full appshark overview →
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Frequently asked questions
Is gs-quant or appshark more popular?
gs-quant has 13,876 GitHub stars and appshark has 1,755. gs-quant has the larger community by that measure.
Are gs-quant and appshark free?
Both are open source. gs-quant is licensed under Apache-2.0 and appshark under Apache-2.0. Neither carries a licence fee.
What is the difference between gs-quant and appshark?
gs-quant is written in Python and appshark in Kotlin. 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 appshark?
Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose appshark if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.