--- title: "react-native-executorch vs afm-Server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/software-mansion-react-native-executorch-vs-techopolis-afm-server" tools: ["software-mansion-react-native-executorch", "techopolis-afm-server"] --- # react-native-executorch vs afm-Server *GraphCanon updated Aug 25, 2026* ## 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. [react-native-executorch](http://docs.swmansion.com/react-native-executorch/) reports 1.7k GitHub stars, 95 forks, and 64 open issues, last pushed Aug 24, 2026. [afm-Server](https://github.com/Techopolis-Online/Perspective-Intelligence) has 189 stars, 8 forks, and 1 open issues, last pushed Jun 2, 2026. Figures are from public GitHub metadata via [react-native-executorch's repository](https://github.com/software-mansion/react-native-executorch) and [afm-Server's repository](https://github.com/Techopolis/afm-Server). | | [react-native-executorch](/tools/software-mansion-react-native-executorch.md) | [afm-Server](/tools/techopolis-afm-server.md) | | --- | --- | --- | | Tagline | Declarative way to run AI models in React Native on device | macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API | | Stars | 1,696 | 189 | | Forks | 95 | 8 | | Open issues | 64 | 1 | | Language | C++ | Swift | | Adopt for | React Native Executorch powers on-device AI inference in React Native apps using a declarative approach with ExecuTorch. | afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Computer Vision, Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [react-native-executorch](/tools/software-mansion-react-native-executorch.md) | [afm-Server](/tools/techopolis-afm-server.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 72d | | Open issues (now) | 64 | 1 | | Stars delta | +23 (30d) | Unknown | | Open issues delta | -13 (30d) | Unknown | | Full report | [trust report](/tools/software-mansion-react-native-executorch/trust.md) | [trust report](/tools/techopolis-afm-server/trust.md) | ## Decision facts: react-native-executorch - **Adopt for:** React Native Executorch powers on-device AI inference in React Native apps using a declarative approach with ExecuTorch. ## Decision facts: afm-Server - **Adopt for:** afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards. ## Choose when ### 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. ### 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 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 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 ## 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](/tools/software-mansion-react-native-executorch/alternatives) and [afm-Server alternatives](/tools/techopolis-afm-server/alternatives) ([react-native-executorch markdown twin](/tools/software-mansion-react-native-executorch/alternatives.md), [afm-Server markdown twin](/tools/techopolis-afm-server/alternatives.md)), 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](/compare/software-mansion-react-native-executorch-vs-techopolis-afm-server.md) 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](/tools/software-mansion-react-native-executorch/trust); [afm-Server trust report](/tools/techopolis-afm-server/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=software-mansion-react-native-executorch`](/api/graphcanon/graph?tool=software-mansion-react-native-executorch) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_