Comparison
OfflineLLM vs maclocal-api
Verdict
Pick OfflineLLM if offlineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities; pick maclocal-api if maclocal-api is a macOS-specific tool that aggregates Apple's ML models into an OpenAI-compatible API endpoint, offering server and single-command modes for local inference with support for Apple Vision.
Markdown twin · OfflineLLM alternatives · maclocal-api alternatives
GraphCanon updated Aug 13, 2026
32views this month
vs
Trust & integrity
| Signal | OfflineLLM | maclocal-api |
|---|---|---|
| Maintenance | Steady (33d since push) As of Aug 13, 2026 · github_public_v1 | Very active (0d since push) As of Aug 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 13, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- OfflineLLM
- Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp
- maclocal-api
- macOS-based CLI and aggregator for utilizing Apple's ML models with OpenAI-compatible API
Stars
- OfflineLLM
- 204
- maclocal-api
- 326
Forks
- OfflineLLM
- 21
- maclocal-api
- 17
Open issues
- OfflineLLM
- 0
- maclocal-api
- 17
Language
- OfflineLLM
- Kotlin
- maclocal-api
- Swift
Adopt for
- OfflineLLM
- OfflineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities.
- maclocal-api
- maclocal-api is a macOS-specific tool that aggregates Apple's ML models into an OpenAI-compatible API endpoint, offering server and single-command modes for local inference with support for Apple Vision.
Persona
- OfflineLLM
- -
- maclocal-api
- -
Runtime
- OfflineLLM
- -
- maclocal-api
- -
License
- OfflineLLM
- Other
- maclocal-api
- MIT License allows for free use, modification, and distribution as long as the license terms are included in any redistribution of the software.
Last pushed
- OfflineLLM
- Jul 10, 2026
- maclocal-api
- Aug 12, 2026
Categories
- OfflineLLM
- Inference & Serving, LLM Frameworks
- maclocal-api
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- OfflineLLM
- Steady (60%)
- maclocal-api
- Very active (96%)
Days since push
- OfflineLLM
- 33d
- maclocal-api
- 0d
Open issues (now)
- OfflineLLM
- 0
- maclocal-api
- 17
Full report
- OfflineLLM
- Trust report
- maclocal-api
- Trust report
Choose OfflineLLM if…
- OfflineLLM is primarily Kotlin; maclocal-api is Swift.
- License: OfflineLLM is Other, maclocal-api is MIT.
- Tags unique to OfflineLLM: android, on-device-ai, privacy-first-ai, private-local-ai.
- Need a privacy-first solution that operates fully offline
When NOT to use OfflineLLM
- Seeking real-time updates or cloud-based AI services
- Prioritize integration with web-based features or platforms
- Running x86 architecture, as the tool is optimised for ARM
Choose maclocal-api if…
- maclocal-api is primarily Swift; OfflineLLM is Kotlin.
- License: maclocal-api is MIT, OfflineLLM is Other.
- Enables users to run their own models locally without needing external cloud services.
- Pricing: Being under MIT license, the core software is free. Any potential additional features or support might be charged for separately..
- Tags unique to maclocal-api: ai, apple-foundation-models, apple-intelligence, apple-llm.
- You need to integrate Apple's MLX or Foundation Models locally on a Mac in a manner that conforms to the OpenAI API standard.
When NOT to use maclocal-api
- You are working on non-Mac platforms as maclocal-api is macOS-dependent and does not support cross-platform operations.
- If you require cloud-based services or integration with broader cloud ecosystems that do not align with the OpenAI-compatible API offered by maclocal-api.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jegly/OfflineLLM) · observed Aug 13, 2026
- GitHub forks (jegly/OfflineLLM) · observed Aug 13, 2026
- Last push (jegly/OfflineLLM) · observed Jul 10, 2026
- License file (Other) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (scouzi1966/maclocal-api) · observed Aug 13, 2026
- GitHub forks (scouzi1966/maclocal-api) · observed Aug 13, 2026
- Last push (scouzi1966/maclocal-api) · observed Aug 12, 2026
- License file (MIT) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: OfflineLLM 204 · maclocal-api 326 (synced Aug 13, 2026).
Common questions
- What is the difference between OfflineLLM and maclocal-api?
- OfflineLLM: Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp. maclocal-api: macOS-based CLI and aggregator for utilizing Apple's ML models with OpenAI-compatible API. See the comparison table for live GitHub stats and shared categories.
- When should I choose OfflineLLM over maclocal-api?
- Choose OfflineLLM over maclocal-api when OfflineLLM is primarily Kotlin; maclocal-api is Swift; License: OfflineLLM is Other, maclocal-api is MIT; Tags unique to OfflineLLM: android, on-device-ai, privacy-first-ai, private-local-ai; Need a privacy-first solution that operates fully offline.
- When should I choose maclocal-api over OfflineLLM?
- Choose maclocal-api over OfflineLLM when maclocal-api is primarily Swift; OfflineLLM is Kotlin; License: maclocal-api is MIT, OfflineLLM is Other; Enables users to run their own models locally without needing external cloud services; Pricing: Being under MIT license, the core software is free. Any potential additional features or support might be charged for separately.; Tags unique to maclocal-api: ai, apple-foundation-models, apple-intelligence, apple-llm; You need to integrate Apple's MLX or Foundation Models locally on a Mac in a manner that conforms to the OpenAI API standard.
- When should I avoid OfflineLLM?
- Seeking real-time updates or cloud-based AI services Prioritize integration with web-based features or platforms Running x86 architecture, as the tool is optimised for ARM
- When should I avoid maclocal-api?
- You are working on non-Mac platforms as maclocal-api is macOS-dependent and does not support cross-platform operations. If you require cloud-based services or integration with broader cloud ecosystems that do not align with the OpenAI-compatible API offered by maclocal-api.
- Is OfflineLLM or maclocal-api more popular on GitHub?
- maclocal-api has more GitHub stars (326 vs 204). Stars measure visibility, not whether either tool fits your constraints.
- Are OfflineLLM and maclocal-api open source?
- Yes - both are open-source projects on GitHub (OfflineLLM: Other, maclocal-api: MIT).
- Where can I find alternatives to OfflineLLM or maclocal-api?
- GraphCanon lists graph-backed alternatives at OfflineLLM alternatives and maclocal-api alternatives (OfflineLLM markdown twin, maclocal-api markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, OfflineLLM or maclocal-api?
- OfflineLLM: Steady. maclocal-api: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for OfflineLLM and maclocal-api?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OfflineLLM trust report; maclocal-api trust report.