head to head · open source
Mobile-Security-Framework-MobSF vs gpt-load
Mobile-Security-Framework-MobSF has 21,797 GitHub stars, 3,762 forks, 31 open issues and last shipped 11 days ago. gpt-load has 6,865 stars, 759 forks, 21 open issues and last shipped today. Mobile-Security-Framework-MobSF leads on adoption by 218% (21,797 vs 6,865 stars). Mobile-Security-Framework-MobSF is written in JavaScript under GPL-3.0; gpt-load is written in Go under MIT. Mobile-Security-Framework-MobSF has attracted 17% as many forks as stars, gpt-load 11%. gpt-load 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
| Mobile-Security-Framework-MobSF | gpt-load | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 6.9K |
| License | GPL-3.0 | MIT |
| Written in | JavaScript | Go |
| Last push | 2026-09-09 | 2026-09-20 |
| Forks | ⑂ 3.8K | ⑂ 759 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Mobile-Security-Framework-MobSF if
- You weight community size — 22K stars and counting
- You want the GPL-3.0 license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick gpt-load if
- You want the gpt-load feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and gpt-load fits your workflow better
About Mobile-Security-Framework-MobSF
Mobile Security Framework (MobSF) is an open source, automated, all in one framework for mobile application security testing across Android, iOS, and Windows Mobile that performs static and dynamic analysis for penetration testing, malware analysis, and privacy assessment, built for security researchers, penetration testers, and DevSecOps teams.
read the full Mobile-Security-Framework-MobSF overview →
About gpt-load
GPT Load is a self hosted AI gateway written in Go and released under the MIT license. It gives applications a single entry point — one base URL and one AccessKey — for reaching many AI providers at once. Providers, accounts, credentials, models, and routing policy are configured in the bundled management UI rather than in application code.
read the full gpt-load overview →
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Frequently asked questions
Is Mobile-Security-Framework-MobSF or gpt-load more popular?
Mobile-Security-Framework-MobSF has 21,797 GitHub stars and gpt-load has 6,865. Mobile-Security-Framework-MobSF has the larger community by that measure.
Are Mobile-Security-Framework-MobSF and gpt-load free?
Both are open source. Mobile-Security-Framework-MobSF is licensed under GPL-3.0 and gpt-load under MIT. Neither carries a licence fee.
What is the difference between Mobile-Security-Framework-MobSF and gpt-load?
Mobile-Security-Framework-MobSF is written in JavaScript and gpt-load in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Mobile-Security-Framework-MobSF or gpt-load?
Choose Mobile-Security-Framework-MobSF if you want the larger community (21,797 stars) or its GPL-3.0 licence terms. Choose gpt-load if its feature set, stack or MIT licence fits better. Both are self-hostable.