--- title: "athina-evals vs evalplus" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-evalplus-evalplus" tools: ["athina-ai-athina-evals", "evalplus-evalplus"] --- # athina-evals vs evalplus *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 evalplus if evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 3 open issues, last pushed Jun 6, 2025. [evalplus](https://evalplus.github.io) has 1.8k stars, 205 forks, and 71 open issues, last pushed Oct 2, 2025. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [evalplus's repository](https://github.com/evalplus/evalplus). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [evalplus](/tools/evalplus-evalplus.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | Rigorous evaluation of LLM-synthesized code | | Stars | 301 | 1,794 | | Forks | 22 | 205 | | Open issues | 3 | 71 | | 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. | evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | 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) | [evalplus](/tools/evalplus-evalplus.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 417d | 306d | | Open issues (now) | 3 | 71 | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/evalplus-evalplus/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: evalplus - **Adopt for:** evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license. ## 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 evalplus if… - Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis. - evalplus ships Docker support for self-hosted deployment. - When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT. ## 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 evalplus - Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. - Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies. ## Common questions ### What is the difference between athina-evals and evalplus? athina-evals: Python SDK for evaluating LLM generated responses. evalplus: Rigorous evaluation of LLM-synthesized code. See the comparison table for live GitHub stats and shared categories. ### When should I choose athina-evals over evalplus? Choose athina-evals over evalplus 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 evalplus over athina-evals? Choose evalplus over athina-evals when Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis; evalplus ships Docker support for self-hosted deployment; When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT. ### 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 evalplus? Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies. ### Is athina-evals or evalplus more popular on GitHub? evalplus has more GitHub stars (1,794 vs 301). Stars measure visibility, not whether either tool fits your constraints. ### Are athina-evals and evalplus open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to athina-evals or evalplus? GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [evalplus alternatives](/tools/evalplus-evalplus/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [evalplus markdown twin](/tools/evalplus-evalplus/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-evalplus-evalplus.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, athina-evals or evalplus? athina-evals: Dormant. evalplus: Slowing. 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 evalplus? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [evalplus trust report](/tools/evalplus-evalplus/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/_