--- title: "openmodelz vs anubis-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tensorchord-openmodelz-vs-uncsoft-anubis-oss" tools: ["tensorchord-openmodelz", "uncsoft-anubis-oss"] --- # openmodelz vs anubis-oss *GraphCanon updated Sep 29, 2026* ## Verdict Pick openmodelz if openModelZ automates and scales large language model inferences on Kubernetes; 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. [openmodelz](https://docs.open.modelz.ai) reports 284 GitHub stars, 26 forks, and 23 open issues, last pushed Nov 3, 2023. [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 [openmodelz's repository](https://github.com/tensorchord/openmodelz) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss). | | [openmodelz](/tools/tensorchord-openmodelz.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Tagline | Automate and scale inference of large language models on Kubernetes. | Local LLM Testing & Benchmarking for Apple Silicon | | Stars | 284 | 207 | | Forks | 26 | 15 | | Open issues | 23 | 1 | | Language | Go | Swift | | Adopt for | OpenModelZ automates and scales large language model inferences on Kubernetes. | 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 | 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._ | | [openmodelz](/tools/tensorchord-openmodelz.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1060d | 15d | | Open issues (now) | 23 | 1 | | Stars delta | +2 (30d) | +9 (30d) | | Open issues delta | 0 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/tensorchord-openmodelz/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) | ## Decision facts: openmodelz - **Adopt for:** OpenModelZ automates and scales large language model inferences on Kubernetes. ## 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 openmodelz if… - openmodelz is primarily Go; anubis-oss is Swift. - License: openmodelz is Apache-2.0, anubis-oss is GPL-3.0. - Tags unique to openmodelz: cluster-manager, hacktoberfest, llmops, mlops. - When you need automatic scaling of large language models based on current load on Kubernetes clusters. ### Choose anubis-oss if… - anubis-oss is primarily Swift; openmodelz is Go. - License: anubis-oss is GPL-3.0, openmodelz is Apache-2.0. - 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 openmodelz - Avoid using if your deployment setup does not include Kubernetes or another cluster management system that OpenModelZ supports. - Do not use this tool if you do not need automatic scaling features, as manual setup might be more straightforward for simpler deployments. ## 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 openmodelz and anubis-oss? openmodelz: Automate and scale inference of large language models on Kubernetes.. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose openmodelz over anubis-oss? Choose openmodelz over anubis-oss when openmodelz is primarily Go; anubis-oss is Swift; License: openmodelz is Apache-2.0, anubis-oss is GPL-3.0; Tags unique to openmodelz: cluster-manager, hacktoberfest, llmops, mlops; When you need automatic scaling of large language models based on current load on Kubernetes clusters. ### When should I choose anubis-oss over openmodelz? Choose anubis-oss over openmodelz when anubis-oss is primarily Swift; openmodelz is Go; License: anubis-oss is GPL-3.0, openmodelz is Apache-2.0; 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 openmodelz? Avoid using if your deployment setup does not include Kubernetes or another cluster management system that OpenModelZ supports. Do not use this tool if you do not need automatic scaling features, as manual setup might be more straightforward for simpler deployments. ### 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 openmodelz or anubis-oss more popular on GitHub? openmodelz has more GitHub stars (284 vs 207). Stars measure visibility, not whether either tool fits your constraints. ### Are openmodelz and anubis-oss open source? Yes - both are open-source projects on GitHub (openmodelz: Apache-2.0, anubis-oss: GPL-3.0). ### Where can I find alternatives to openmodelz or anubis-oss? GraphCanon lists graph-backed alternatives at [openmodelz alternatives](/tools/tensorchord-openmodelz/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([openmodelz markdown twin](/tools/tensorchord-openmodelz/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/tensorchord-openmodelz-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, openmodelz or anubis-oss? openmodelz: Dormant. 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 openmodelz and anubis-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openmodelz trust report](/tools/tensorchord-openmodelz/trust); [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tensorchord-openmodelz`](/api/graphcanon/graph?tool=tensorchord-openmodelz) - 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/_