--- title: "runanywhere-sdks vs anubis-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/runanywhereai-runanywhere-sdks-vs-uncsoft-anubis-oss" tools: ["runanywhereai-runanywhere-sdks", "uncsoft-anubis-oss"] --- # runanywhere-sdks vs anubis-oss *GraphCanon updated Sep 20, 2026* ## Verdict Pick runanywhere-sdks if runAnywhere SDKs enable efficient cross-platform deployment of various AI models on local devices with support for specific hardware optimizations; 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. [runanywhere-sdks](https://www.runanywhere.ai) reports 10k GitHub stars, 380 forks, and 136 open issues, last pushed Sep 19, 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 [runanywhere-sdks's repository](https://github.com/RunanywhereAI/runanywhere-sdks) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss). | | [runanywhere-sdks](/tools/runanywhereai-runanywhere-sdks.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Tagline | Production ready toolkit to run AI locally | Local LLM Testing & Benchmarking for Apple Silicon | | Stars | 10,297 | 207 | | Forks | 380 | 15 | | Open issues | 136 | 1 | | Language | C++ | Swift | | Adopt for | RunAnywhere SDKs enable efficient cross-platform deployment of various AI models on local devices with support for specific hardware optimizations. | 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 | Apache 2.0 with additional terms for commercial use | 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._ | | [runanywhere-sdks](/tools/runanywhereai-runanywhere-sdks.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 15d | | Open issues (now) | 136 | 1 | | Stars delta | -3 (30d) | +9 (30d) | | Open issues delta | +120 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/runanywhereai-runanywhere-sdks/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) | ## Decision facts: runanywhere-sdks - **Requirements:** Min 2 GB RAM; Hexagon NPU for Snapdragon 8 Elite class or newer - **Adopt for:** RunAnywhere SDKs enable efficient cross-platform deployment of various AI models on local devices with support for specific hardware optimizations. - **License detail:** Apache 2.0 with additional terms for commercial use ## 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 runanywhere-sdks if… - runanywhere-sdks is primarily C++; anubis-oss is Swift. - License: runanywhere-sdks is Other, anubis-oss is GPL-3.0. - Requirements: Min 2 GB RAM; Hexagon NPU for Snapdragon 8 Elite class or newer. - Tags unique to runanywhere-sdks: android, cpp, diffusion-models, edge. - When deploying AI models that need to run locally across multiple platforms including Web, iOS, macOS, Android, React Native, and Flutter ### Choose anubis-oss if… - anubis-oss is primarily Swift; runanywhere-sdks is C++. - License: anubis-oss is GPL-3.0, runanywhere-sdks is Other. - 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, local-llm. - Also covers Evaluation & Observability. - When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ## When NOT to use runanywhere-sdks - If your deployment does not require support for older versions of Android below API level 24 or macOS earlier than version 14.0+ - In environments that do not meet the minimum hardware requirements, such as devices with less than 2 GB of RAM ## 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 runanywhere-sdks and anubis-oss? runanywhere-sdks: Production ready toolkit to run AI locally. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose runanywhere-sdks over anubis-oss? Choose runanywhere-sdks over anubis-oss when runanywhere-sdks is primarily C++; anubis-oss is Swift; License: runanywhere-sdks is Other, anubis-oss is GPL-3.0; Requirements: Min 2 GB RAM; Hexagon NPU for Snapdragon 8 Elite class or newer; Tags unique to runanywhere-sdks: android, cpp, diffusion-models, edge; When deploying AI models that need to run locally across multiple platforms including Web, iOS, macOS, Android, React Native, and Flutter. ### When should I choose anubis-oss over runanywhere-sdks? Choose anubis-oss over runanywhere-sdks when anubis-oss is primarily Swift; runanywhere-sdks is C++; License: anubis-oss is GPL-3.0, runanywhere-sdks is Other; 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, local-llm; Also covers Evaluation & Observability; When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ### When should I avoid runanywhere-sdks? If your deployment does not require support for older versions of Android below API level 24 or macOS earlier than version 14.0+ In environments that do not meet the minimum hardware requirements, such as devices with less than 2 GB of RAM ### 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 runanywhere-sdks or anubis-oss more popular on GitHub? runanywhere-sdks has more GitHub stars (10,297 vs 207). Stars measure visibility, not whether either tool fits your constraints. ### Are runanywhere-sdks and anubis-oss open source? Yes - both are open-source projects on GitHub (runanywhere-sdks: Other, anubis-oss: GPL-3.0). ### Where can I find alternatives to runanywhere-sdks or anubis-oss? GraphCanon lists graph-backed alternatives at [runanywhere-sdks alternatives](/tools/runanywhereai-runanywhere-sdks/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([runanywhere-sdks markdown twin](/tools/runanywhereai-runanywhere-sdks/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/runanywhereai-runanywhere-sdks-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, runanywhere-sdks or anubis-oss? runanywhere-sdks: Very active. 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 runanywhere-sdks and anubis-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [runanywhere-sdks trust report](/tools/runanywhereai-runanywhere-sdks/trust); [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=runanywhereai-runanywhere-sdks`](/api/graphcanon/graph?tool=runanywhereai-runanywhere-sdks) - 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/_