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Inference & serving

arnold117/iOS-NOIR

No-jailbreak iOS privacy, entitlement, sandbox & telemetry forensic auditor (inspired by Verlintas/NOIR)

Commercial OK · MITRuns on MacSetup: Hard · build from sourcePython

Rising: created 1d ago

  • 259stars
  • 51forks
  • 0open issues
  • updated 1d ago

About iOS-NOIR

iOS-NOIR is a free, open-source AI inference tool by arnold117, written mainly in Python. No-jailbreak iOS privacy, entitlement, sandbox & telemetry forensic auditor (inspired by Verlintas/NOIR). It has 259 GitHub stars and 51 forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.

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iOS-NOIR FAQ

Can I use iOS-NOIR commercially?

Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.

Is iOS-NOIR free?

Yes. iOS-NOIR is open source and free to use. It's released under the MIT license, a standard open-source license.

Does iOS-NOIR run on a Mac?

Yes. According to the project, iOS-NOIR works on macOS.

Does iOS-NOIR need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is iOS-NOIR still maintained?

Yes. It was last updated 1d ago and has 0 open issues on GitHub.

How hard is iOS-NOIR to set up?

Hard: typically 1–3 hours, using build from source.

What are alternatives to iOS-NOIR?

Similar free, open-source tools include ANOLISA, SwiftLM, qwen3.6-windows-server, APT.

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