--- title: "athina-evals vs LiveCodeBench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-livecodebench-livecodebench" tools: ["athina-ai-athina-evals", "livecodebench-livecodebench"] --- # athina-evals vs LiveCodeBench *GraphCanon updated Aug 5, 2026* ## Verdict Pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks; pick LiveCodeBench if liveCodeBench offers an in-depth approach to evaluating large language models specifically for code tasks such as generation and repair. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 3 open issues, last pushed Jun 6, 2025. [LiveCodeBench](https://livecodebench.github.io/) has 925 stars, 195 forks, and 38 open issues, last pushed Jul 16, 2025. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [LiveCodeBench's repository](https://github.com/LiveCodeBench/LiveCodeBench). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [LiveCodeBench](/tools/livecodebench-livecodebench.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | Holistic and contamination-free evaluation of large language models for code | | Stars | 301 | 925 | | Forks | 22 | 195 | | Open issues | 3 | 38 | | Language | Python | Python | | Adopt for | athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. | LiveCodeBench offers an in-depth approach to evaluating large language models specifically for code tasks such as generation and repair. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [athina-evals](/tools/athina-ai-athina-evals.md) | [LiveCodeBench](/tools/livecodebench-livecodebench.md) | | --- | --- | --- | | Days since push | 417d | 385d | | Open issues (now) | 3 | 38 | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/livecodebench-livecodebench/trust.md) | ## Decision facts: athina-evals - **Adopt for:** athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. ## Decision facts: LiveCodeBench - **Adopt for:** LiveCodeBench offers an in-depth approach to evaluating large language models specifically for code tasks such as generation and repair. ## Choose when ### Choose athina-evals if… - Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval. - When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics - Leaner open-issue backlog (3). ### Choose LiveCodeBench if… - Tags unique to LiveCodeBench: code generation, code-execution, code-repair, gpt-4. - When you need a holistic method to assess the effectiveness of LLMs in code tasks without risking contamination by earlier outputs or data leakage. - More GitHub stars (925 vs 301) - visibility, not fit. ## When NOT to use athina-evals - If open-source alternatives with transparent customization options are preferred over athina-evals' approach - In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments ## When NOT to use LiveCodeBench - For broad, non-code-specific model assessments where a more generalized evaluation tool would suffice. - If your project is not compatible with Python 3.11 or if you do not want to use the uv dependency manager recommended by LiveCodeBench. ## Common questions ### What is the difference between athina-evals and LiveCodeBench? athina-evals: Python SDK for evaluating LLM generated responses. LiveCodeBench: Holistic and contamination-free evaluation of large language models for code. See the comparison table for live GitHub stats and shared categories. ### When should I choose athina-evals over LiveCodeBench? Choose athina-evals over LiveCodeBench when Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; Leaner open-issue backlog (3). ### When should I choose LiveCodeBench over athina-evals? Choose LiveCodeBench over athina-evals when Tags unique to LiveCodeBench: code generation, code-execution, code-repair, gpt-4; When you need a holistic method to assess the effectiveness of LLMs in code tasks without risking contamination by earlier outputs or data leakage; More GitHub stars (925 vs 301) - visibility, not fit. ### When should I avoid athina-evals? If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments ### When should I avoid LiveCodeBench? For broad, non-code-specific model assessments where a more generalized evaluation tool would suffice. If your project is not compatible with Python 3.11 or if you do not want to use the uv dependency manager recommended by LiveCodeBench. ### Is athina-evals or LiveCodeBench more popular on GitHub? LiveCodeBench has more GitHub stars (925 vs 301). Stars measure visibility, not whether either tool fits your constraints. ### Are athina-evals and LiveCodeBench open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to athina-evals or LiveCodeBench? GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [LiveCodeBench alternatives](/tools/livecodebench-livecodebench/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [LiveCodeBench markdown twin](/tools/livecodebench-livecodebench/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/athina-ai-athina-evals-vs-livecodebench-livecodebench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, athina-evals or LiveCodeBench? athina-evals: Dormant. LiveCodeBench: Dormant. 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 athina-evals and LiveCodeBench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [LiveCodeBench trust report](/tools/livecodebench-livecodebench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=athina-ai-athina-evals`](/api/graphcanon/graph?tool=athina-ai-athina-evals) - 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/_