head to head · open source
gs-quant vs HardeningKitty
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. HardeningKitty has 1,876 stars, 217 forks, 5 open issues and last shipped 4 months ago. gs-quant leads on adoption by 640% (13,876 vs 1,876 stars). gs-quant is written in Python under Apache-2.0; HardeningKitty is written in PowerShell under MIT. gs-quant has attracted 14% as many forks as stars, HardeningKitty 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.
← all 20902 open source comparisons
Side by side
| gs-quant | HardeningKitty | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 1.9K |
| License | Apache-2.0 | MIT |
| Written in | Python | PowerShell |
| Last push | 2026-10-28 | 2026-07-21 |
| Forks | ⑂ 1.9K | ⑂ 217 |
| 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 HardeningKitty if
- You want the HardeningKitty feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches PowerShell
- You evaluated both and HardeningKitty 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 HardeningKitty
HardeningKitty This is the stable version of HardeningKitty from the Windows Hardening Project by Michael Schneider. The stable version of HardeningKitty is signed with the code signing certificate of scip AG . Since this is the stable version, we do not accept pull requests in this repo, please send them to the development repo . HardeningKitty supports hardening of a Windows system. The configuration of the system is retrieved and assessed using a finding list. In addition, the system can be hardened according to predefined values. HardeningKitty reads settings from the registry and uses other modules to read…
read the full HardeningKitty 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 HardeningKitty more popular?
gs-quant has 13,876 GitHub stars and HardeningKitty has 1,876. gs-quant has the larger community by that measure.
Are gs-quant and HardeningKitty free?
Both are open source. gs-quant is licensed under Apache-2.0 and HardeningKitty under MIT. Neither carries a licence fee.
What is the difference between gs-quant and HardeningKitty?
gs-quant is written in Python and HardeningKitty in PowerShell. 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 HardeningKitty?
Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose HardeningKitty if its feature set, stack or MIT licence fits better. Both are self-hostable.