head to head · open source
gs-quant vs windows_hardening
gs-quant has 12,974 GitHub stars, 1,752 forks, 73 open issues and last shipped 2 days ago. windows_hardening has 2,658 stars, 331 forks, 21 open issues and last shipped 18 days ago. gs-quant leads on adoption by 388% (12,974 vs 2,658 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%. 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 8884 open source comparisons
Side by side
| gs-quant | windows_hardening | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 2.7K |
| License | Apache-2.0 | MIT |
| Written in | Python | PowerShell |
| Last push | 2026-09-16 | 2026-08-31 |
| Forks | ⑂ 1.8K | ⑂ 331 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick gs-quant if
- You weight community size — 13K 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 is an Apache 2.0 Python toolkit for quantitative finance, maintained by quantitative developers at Goldman Sachs, and it is intended for quants and institutional clients of the bank who build derivative pricing, trading strategy and risk management workflows on top of Goldman Sachs' risk transfer platform.
read the full gs-quant overview →
About windows_hardening
HardeningKitty and Windows Hardening Settings is a PowerShell project for Windows security baselines, compliance checklists, and system hardening. It began as a simple Windows 10 hardening list and later became a tool that supports Microsoft guidelines, CIS Benchmarks, DoD STIG, BSI SiSyPHuS Win10, and the project's own list. The project lives in the Windows PowerShell and security baseline ecosystem.
read the full windows_hardening 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 windows_hardening more popular?
gs-quant has 12,974 GitHub stars and windows_hardening has 2,658. 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 (12,974 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.