head to head · open source
Mobile-Security-Framework-MobSF vs gpt-load
Mobile-Security-Framework-MobSF has 22,125 GitHub stars, 3,800 forks, 31 open issues and last shipped 4 days ago. gpt-load has 7,199 stars, 798 forks, 21 open issues and last shipped 2 days ago. Mobile-Security-Framework-MobSF leads on adoption by 207% (22,125 vs 7,199 stars). Mobile-Security-Framework-MobSF is written in Python 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 | ★ 7.2K |
| License | GPL-3.0 | MIT |
| Written in | Python | Go |
| Last push | 2026-11-01 | 2026-11-03 |
| Forks | ⑂ 3.8K | ⑂ 798 |
| 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 Python
- 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) Mobile Security Framework (MobSF) is a security research platform for mobile applications in Android, iOS and Windows Mobile. MobSF can be used for a variety of use cases such as mobile application security, penetration testing, malware analysis, and privacy analysis. The Static Analyzer supports popular mobile app binaries like APK, IPA, APPX and source code. Meanwhile, the Dynamic Analyzer supports both Android and iOS applications and offers a platform for interactive instrumented testing, runtime data and network traffic analysis. MobSF seamlessly integrates with your…
read the full Mobile-Security-Framework-MobSF overview →
About gpt-load
GPT Load A self hosted AI gateway for multi channel, multi credential setups API keys, subscription accounts, traffic scheduling, failure handling, request logs, and usage accounting — behind a single entry point. English · 中文 · 日本語 Official Website Sponsors Become a sponsor Sponsor details (collapsible) OfoxAI: Text, image, and video AI in one platform OfoxAI is a unified AI API platform bringing together text, image, and video models from multiple providers. With OpenAI compatible endpoints and native Anthropic and Gemini interfaces, developers can access models for AI applications, agents, and content…
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 22,125 GitHub stars and gpt-load has 7,199. 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 Python 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 (22,125 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.