--- title: "lighteval vs anubis-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/huggingface-lighteval-vs-uncsoft-anubis-oss" tools: ["huggingface-lighteval", "uncsoft-anubis-oss"] --- # lighteval vs anubis-oss *GraphCanon updated Aug 13, 2026* ## Verdict Pick lighteval if lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments; 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. [lighteval](https://huggingface.co/docs/lighteval/en/index) reports 2.5k GitHub stars, 523 forks, and 366 open issues, last pushed Jun 29, 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 [lighteval's repository](https://github.com/huggingface/lighteval) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss). | | [lighteval](/tools/huggingface-lighteval.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Tagline | All-in-one toolkit for evaluating LLMs across multiple backends | Local LLM Testing & Benchmarking for Apple Silicon | | Stars | 2,508 | 198 | | Forks | 523 | 12 | | Open issues | 366 | 4 | | Language | Python | Swift | | Adopt for | Lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments. | 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 | Evaluation & Observability | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lighteval](/tools/huggingface-lighteval.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Days since push | 38d | 56d | | Open issues (now) | 366 | 4 | | Owner type | Organization | User | | Full report | [trust report](/tools/huggingface-lighteval/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) | ## Decision facts: lighteval - **Adopt for:** Lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments. ## 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 lighteval if… - lighteval is primarily Python; anubis-oss is Swift. - License: lighteval is MIT, anubis-oss is GPL-3.0. - Tags unique to lighteval: evaluation, evaluation-framework, evaluation-metrics, huggingface. - When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments. ### Choose anubis-oss if… - anubis-oss is primarily Swift; lighteval is Python. - License: anubis-oss is GPL-3.0, lighteval 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 Inference & Serving. - When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ## When NOT to use lighteval - Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there. - Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs. ## 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 lighteval and anubis-oss? lighteval: All-in-one toolkit for evaluating LLMs across multiple backends. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose lighteval over anubis-oss? Choose lighteval over anubis-oss when lighteval is primarily Python; anubis-oss is Swift; License: lighteval is MIT, anubis-oss is GPL-3.0; Tags unique to lighteval: evaluation, evaluation-framework, evaluation-metrics, huggingface; When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments. ### When should I choose anubis-oss over lighteval? Choose anubis-oss over lighteval when anubis-oss is primarily Swift; lighteval is Python; License: anubis-oss is GPL-3.0, lighteval 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 Inference & Serving; When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ### When should I avoid lighteval? Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there. Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs. ### 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 lighteval or anubis-oss more popular on GitHub? lighteval has more GitHub stars (2,508 vs 198). Stars measure visibility, not whether either tool fits your constraints. ### Are lighteval and anubis-oss open source? Yes - both are open-source projects on GitHub (lighteval: MIT, anubis-oss: GPL-3.0). ### Where can I find alternatives to lighteval or anubis-oss? GraphCanon lists graph-backed alternatives at [lighteval alternatives](/tools/huggingface-lighteval/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([lighteval markdown twin](/tools/huggingface-lighteval/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/huggingface-lighteval-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, lighteval or anubis-oss? lighteval: 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 lighteval and anubis-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lighteval trust report](/tools/huggingface-lighteval/trust); [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=huggingface-lighteval`](/api/graphcanon/graph?tool=huggingface-lighteval) - 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/_