head to head · open source
gs-quant vs windows_hardening
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. windows_hardening has 2,673 stars, 332 forks, 21 open issues and last shipped 3 days ago. gs-quant leads on adoption by 419% (13,876 vs 2,673 stars). gs-quant is written in Python under Apache-2.0; windows_hardening is written in PowerShell under MIT. gs-quant has attracted 14% as many forks as stars, windows_hardening 12%. windows_hardening 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 | windows_hardening | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 2.7K |
| License | Apache-2.0 | MIT |
| Written in | Python | PowerShell |
| Last push | 2026-10-28 | 2026-10-31 |
| Forks | ⑂ 1.9K | ⑂ 332 |
| 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 windows_hardening if
- You want the windows_hardening feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches PowerShell
- You evaluated both and windows_hardening 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 windows_hardening
HardeningKitty and Windows Hardening Introduction The project started as a simple hardening list for Windows 10. After some time, HardeningKitty was created to simplify the hardening of Windows. Now, HardeningKitty supports guidelines from Microsoft, CIS Benchmarks, DoD STIG and BSI SiSyPHuS Win10. And of course my own hardening list. This is a hardening checklist that can be used in private and business environments for hardening Windows 10. The checklist can be used for all Windows versions, but in Windows 10 Home the Group Policy Editor is not integrated and the adjustment must be done directly in the…
read the full windows_hardening overview →
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Frequently asked questions
Is gs-quant or windows_hardening more popular?
gs-quant has 13,876 GitHub stars and windows_hardening has 2,673. gs-quant has the larger community by that measure.
Are gs-quant and windows_hardening free?
Both are open source. gs-quant is licensed under Apache-2.0 and windows_hardening under MIT. Neither carries a licence fee.
What is the difference between gs-quant and windows_hardening?
gs-quant is written in Python and windows_hardening 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 windows_hardening?
Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose windows_hardening if its feature set, stack or MIT licence fits better. Both are self-hostable.