Comparison
react-native-executorch vs afm-Server
Verdict
Pick react-native-executorch if react Native Executorch powers on-device AI inference in React Native apps using a declarative approach with ExecuTorch; pick afm-Server if afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards.
Markdown twin · react-native-executorch alternatives · afm-Server alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | react-native-executorch | afm-Server |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Steady (72d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- react-native-executorch
- Declarative way to run AI models in React Native on device
- afm-Server
- macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API
Stars
- react-native-executorch
- 1.7k
- afm-Server
- 189
Forks
- react-native-executorch
- 95
- afm-Server
- 8
Open issues
- react-native-executorch
- 64
- afm-Server
- 1
Language
- react-native-executorch
- C++
- afm-Server
- Swift
Adopt for
- react-native-executorch
- React Native Executorch powers on-device AI inference in React Native apps using a declarative approach with ExecuTorch.
- afm-Server
- afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards.
Persona
- react-native-executorch
- -
- afm-Server
- -
Runtime
- react-native-executorch
- -
- afm-Server
- -
License
- react-native-executorch
- Other
- afm-Server
- MIT
Last pushed
- react-native-executorch
- Aug 24, 2026
- afm-Server
- Jun 2, 2026
Categories
- react-native-executorch
- Computer Vision, Inference & Serving
- afm-Server
- Inference & Serving
Trust and health
Maintenance
- react-native-executorch
- Very active (96%)
- afm-Server
- Steady (60%)
Days since push
- react-native-executorch
- 0d
- afm-Server
- 72d
Open issues (now)
- react-native-executorch
- 64
- afm-Server
- 1
Stars delta
- react-native-executorch
- +23 (30d)
- afm-Server
- Unknown
Open issues delta
- react-native-executorch
- -13 (30d)
- afm-Server
- Unknown
Full report
- react-native-executorch
- Trust report
- afm-Server
- Trust report
Choose react-native-executorch if…
- react-native-executorch is primarily C++; afm-Server is Swift.
- License: react-native-executorch is Other, afm-Server is MIT.
- Tags unique to react-native-executorch: image-embeddings, llm-inference, object-detection, ocr.
- Also covers Computer Vision.
- You are developing a React Native application requiring efficient on-device AI inference capabilities.
When NOT to use react-native-executorch
- When the development team lacks expertise in C++ or React Native integration specifics required by Executorch.
- Projects that depend heavily on cloud-based machine learning services for their AI functionalities.
- Scenarios where cross-platform support beyond React Native is necessary.
Choose afm-Server if…
- afm-Server is primarily Swift; react-native-executorch is C++.
- License: afm-Server is MIT, react-native-executorch is Other.
- Tags unique to afm-Server: apple-intelligence, foundation-models, local-llm, macos.
- When you need local, cloud-free inference services from Apple's device-based AI models and are working within a macOS environment
When NOT to use afm-Server
- In scenarios where a cross-platform solution is necessary as afm-Server only supports macOS environments
- When your application demands real-time, high-throughput API access that can be limited by the device's hardware capabilities compared to cloud solutions
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (software-mansion/react-native-executorch) · observed Aug 25, 2026
- GitHub forks (software-mansion/react-native-executorch) · observed Aug 25, 2026
- Last push (software-mansion/react-native-executorch) · observed Aug 24, 2026
- License file (Other) · observed Aug 25, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Techopolis/afm-Server) · observed Aug 13, 2026
- GitHub forks (Techopolis/afm-Server) · observed Aug 13, 2026
- Last push (Techopolis/afm-Server) · observed Jun 2, 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: react-native-executorch 1.7k · afm-Server 189 (synced Aug 25, 2026).
Common questions
- What is the difference between react-native-executorch and afm-Server?
- react-native-executorch: Declarative way to run AI models in React Native on device. afm-Server: macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API. See the comparison table for live GitHub stats and shared categories.
- When should I choose react-native-executorch over afm-Server?
- Choose react-native-executorch over afm-Server when react-native-executorch is primarily C++; afm-Server is Swift; License: react-native-executorch is Other, afm-Server is MIT; Tags unique to react-native-executorch: image-embeddings, llm-inference, object-detection, ocr; Also covers Computer Vision; You are developing a React Native application requiring efficient on-device AI inference capabilities.
- When should I choose afm-Server over react-native-executorch?
- Choose afm-Server over react-native-executorch when afm-Server is primarily Swift; react-native-executorch is C++; License: afm-Server is MIT, react-native-executorch is Other; Tags unique to afm-Server: apple-intelligence, foundation-models, local-llm, macos; When you need local, cloud-free inference services from Apple's device-based AI models and are working within a macOS environment.
- When should I avoid react-native-executorch?
- When the development team lacks expertise in C++ or React Native integration specifics required by Executorch. Projects that depend heavily on cloud-based machine learning services for their AI functionalities. Scenarios where cross-platform support beyond React Native is necessary.
- When should I avoid afm-Server?
- In scenarios where a cross-platform solution is necessary as afm-Server only supports macOS environments When your application demands real-time, high-throughput API access that can be limited by the device's hardware capabilities compared to cloud solutions
- Is react-native-executorch or afm-Server more popular on GitHub?
- react-native-executorch has more GitHub stars (1,696 vs 189). Stars measure visibility, not whether either tool fits your constraints.
- Are react-native-executorch and afm-Server open source?
- Yes - both are open-source projects on GitHub (react-native-executorch: Other, afm-Server: MIT).
- Where can I find alternatives to react-native-executorch or afm-Server?
- GraphCanon lists graph-backed alternatives at react-native-executorch alternatives and afm-Server alternatives (react-native-executorch markdown twin, afm-Server 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, react-native-executorch or afm-Server?
- react-native-executorch: Very active. afm-Server: Steady. 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 react-native-executorch and afm-Server?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: react-native-executorch trust report; afm-Server trust report.