--- title: "LLM.swift vs anubis-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/eastriverlee-llm-swift-vs-uncsoft-anubis-oss" tools: ["eastriverlee-llm-swift", "uncsoft-anubis-oss"] --- # LLM.swift vs anubis-oss *GraphCanon updated Aug 25, 2026* ## Verdict Pick LLM.swift if lLM.swift is a cross-platform C++ library for Apple systems that simplifies local interaction with large language models; 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. [LLM.swift](https://github.com/eastriverlee/LLM.swift) reports 871 GitHub stars, 124 forks, and 10 open issues, last pushed Jul 19, 2026. [anubis-oss](https://devpadapp.com/leaderboard.html) has 198 stars, 12 forks, and 4 open issues, last pushed Jun 18, 2026. Figures are from public GitHub metadata via [LLM.swift's repository](https://github.com/eastriverlee/LLM.swift) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss). | | [LLM.swift](/tools/eastriverlee-llm-swift.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Tagline | LLM.swift enables local interaction with large language models for multiple Apple platforms. | Local LLM Testing & Benchmarking for Apple Silicon | | Stars | 871 | 198 | | Forks | 124 | 12 | | Open issues | 10 | 4 | | Language | Swift | Swift | | Adopt for | LLM.swift is a cross-platform C++ library for Apple systems that simplifies local interaction with large language models. | 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 license allows for free use and distribution, both commercially and in open source projects, with attribution preferred but not mandatory. | 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._ | | [LLM.swift](/tools/eastriverlee-llm-swift.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Days since push | 36d | 56d | | Open issues (now) | 10 | 4 | | Stars delta | +6 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Full report | [trust report](/tools/eastriverlee-llm-swift/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) | ## Decision facts: LLM.swift - **Pricing:** freemium - Free to use under the MIT License. Premium support may vary. - **Adopt for:** LLM.swift is a cross-platform C++ library for Apple systems that simplifies local interaction with large language models. - **License detail:** MIT license allows for free use and distribution, both commercially and in open source projects, with attribution preferred but not mandatory. ## 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 LLM.swift if… - License: LLM.swift is MIT, anubis-oss is GPL-3.0. - Pricing: Free to use under the MIT License. Premium support may vary.. - Tags unique to LLM.swift: gguf, ios, llm-inference, swift. - Choose LLM.swift when you need to integrate large language model functionalities into apps targeting multiple Apple platforms, including macOS and mobile OSes. ### Choose anubis-oss if… - License: anubis-oss is GPL-3.0, LLM.swift 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 LLM.swift - Avoid LLM.swift if your application must run on non-Apple systems or if compatibility across various operating systems is prioritized over ease-of-use on Apple platforms. - Do not use this library if you require advanced server-side functionalities, as it focuses specifically on local interactions within Apple’s ecosystem. ## 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 LLM.swift and anubis-oss? LLM.swift: LLM.swift enables local interaction with large language models for multiple Apple platforms.. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLM.swift over anubis-oss? Choose LLM.swift over anubis-oss when License: LLM.swift is MIT, anubis-oss is GPL-3.0; Pricing: Free to use under the MIT License. Premium support may vary.; Tags unique to LLM.swift: gguf, ios, llm-inference, swift; Choose LLM.swift when you need to integrate large language model functionalities into apps targeting multiple Apple platforms, including macOS and mobile OSes. ### When should I choose anubis-oss over LLM.swift? Choose anubis-oss over LLM.swift when License: anubis-oss is GPL-3.0, LLM.swift 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 LLM.swift? Avoid LLM.swift if your application must run on non-Apple systems or if compatibility across various operating systems is prioritized over ease-of-use on Apple platforms. Do not use this library if you require advanced server-side functionalities, as it focuses specifically on local interactions within Apple’s ecosystem. ### 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 LLM.swift or anubis-oss more popular on GitHub? LLM.swift has more GitHub stars (871 vs 198). Stars measure visibility, not whether either tool fits your constraints. ### Are LLM.swift and anubis-oss open source? Yes - both are open-source projects on GitHub (LLM.swift: MIT, anubis-oss: GPL-3.0). ### Where can I find alternatives to LLM.swift or anubis-oss? GraphCanon lists graph-backed alternatives at [LLM.swift alternatives](/tools/eastriverlee-llm-swift/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([LLM.swift markdown twin](/tools/eastriverlee-llm-swift/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/eastriverlee-llm-swift-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, LLM.swift or anubis-oss? LLM.swift: Steady. anubis-oss: 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 LLM.swift and anubis-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLM.swift trust report](/tools/eastriverlee-llm-swift/trust); [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=eastriverlee-llm-swift`](/api/graphcanon/graph?tool=eastriverlee-llm-swift) - 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/_