--- title: "afm-Server vs anubis-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/techopolis-afm-server-vs-uncsoft-anubis-oss" tools: ["techopolis-afm-server", "uncsoft-anubis-oss"] --- # afm-Server vs anubis-oss *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick anubis-oss if anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. [afm-Server](https://github.com/Techopolis-Online/Perspective-Intelligence) reports 192 GitHub stars, 9 forks, and 2 open issues, last pushed Jun 2, 2026. [anubis-oss](https://devpadapp.com/leaderboard.html) has 207 stars, 15 forks, and 1 open issues, last pushed Sep 5, 2026. Figures are from public GitHub metadata via [afm-Server's repository](https://github.com/Techopolis/afm-Server) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss). | | [afm-Server](/tools/techopolis-afm-server.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Tagline | macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API | Local LLM Testing & Benchmarking for Apple Silicon | | Stars | 192 | 207 | | Forks | 9 | 15 | | Open issues | 2 | 1 | | Language | Swift | Swift | | 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. | Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. | | Persona | - | - | | Runtime | - | - | | License | MIT | GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms. | | Categories | Inference & Serving | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [afm-Server](/tools/techopolis-afm-server.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 110d | 15d | | Open issues (now) | 2 | 1 | | Stars delta | +3 (30d) | +9 (30d) | | Open issues delta | +1 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/techopolis-afm-server/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) | ## 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. ## Decision facts: anubis-oss - **Pricing:** freemium - The tool is free and open-source with no monetary costs for usage or distribution. - **Requirements:** Min 8 GB RAM - **Adopt for:** Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. - **License detail:** GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms. ## Choose when ### Choose afm-Server if… - License: afm-Server is MIT, anubis-oss is GPL-3.0. - Tags unique to afm-Server: apple-intelligence, foundation-models, menu-bar-app, on-device-ai. - When you need local, cloud-free inference services from Apple's device-based AI models and are working within a macOS environment ### Choose anubis-oss if… - License: anubis-oss is GPL-3.0, afm-Server is MIT. - Pricing: The tool is free and open-source with no monetary costs for usage or distribution.. - Requirements: Min 8 GB RAM. - Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference. - Also covers Evaluation & Observability. - When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ## 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 ## When NOT to use anubis-oss - If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms. - When preferring a language other than Swift, since Anubis-oss depends on this for its operations. ## Common questions ### What is the difference between afm-Server and anubis-oss? afm-Server: macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose afm-Server over anubis-oss? Choose afm-Server over anubis-oss when License: afm-Server is MIT, anubis-oss is GPL-3.0; Tags unique to afm-Server: apple-intelligence, foundation-models, menu-bar-app, on-device-ai; 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 choose anubis-oss over afm-Server? Choose anubis-oss over afm-Server when License: anubis-oss is GPL-3.0, afm-Server is MIT; Pricing: The tool is free and open-source with no monetary costs for usage or distribution.; Requirements: Min 8 GB RAM; Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference; Also covers Evaluation & Observability; When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ### 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 ### When should I avoid anubis-oss? If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms. When preferring a language other than Swift, since Anubis-oss depends on this for its operations. ### Is afm-Server or anubis-oss more popular on GitHub? anubis-oss has more GitHub stars (207 vs 192). Stars measure visibility, not whether either tool fits your constraints. ### Are afm-Server and anubis-oss open source? Yes - both are open-source projects on GitHub (afm-Server: MIT, anubis-oss: GPL-3.0). ### Where can I find alternatives to afm-Server or anubis-oss? GraphCanon lists graph-backed alternatives at [afm-Server alternatives](/tools/techopolis-afm-server/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([afm-Server markdown twin](/tools/techopolis-afm-server/alternatives.md), [anubis-oss markdown twin](/tools/uncsoft-anubis-oss/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/techopolis-afm-server-vs-uncsoft-anubis-oss.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, afm-Server or anubis-oss? afm-Server: Slowing. anubis-oss: 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 afm-Server and anubis-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [afm-Server trust report](/tools/techopolis-afm-server/trust); [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=techopolis-afm-server`](/api/graphcanon/graph?tool=techopolis-afm-server) - 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/_