--- title: "athina-evals vs prometheus-eval" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-prometheus-eval-prometheus-eval" tools: ["athina-ai-athina-evals", "prometheus-eval-prometheus-eval"] --- # athina-evals vs prometheus-eval *GraphCanon updated Aug 21, 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 prometheus-eval if prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in 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. [prometheus-eval](https://github.com/prometheus-eval/prometheus-eval) has 1.1k stars, 68 forks, and 13 open issues, last pushed Apr 25, 2025. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [prometheus-eval's repository](https://github.com/prometheus-eval/prometheus-eval). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [prometheus-eval](/tools/prometheus-eval-prometheus-eval.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | Evaluate your LLM's response with Prometheus and GPT4 | | Stars | 301 | 1,107 | | Forks | 22 | 68 | | Open issues | 3 | 13 | | 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. | Prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in 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) | [prometheus-eval](/tools/prometheus-eval-prometheus-eval.md) | | --- | --- | --- | | Days since push | 417d | 482d | | Open issues (now) | 3 | 13 | | Stars delta | Unknown | +5 (30d) | | Open issues delta | Unknown | -1 (30d) | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/prometheus-eval-prometheus-eval/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: prometheus-eval - **Adopt for:** Prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in Python, under the Apache-2.0 license. ## Choose when ### Choose athina-evals if… - Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation. - When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics - More recently updated (last pushed Jun 6, 2025). ### Choose prometheus-eval if… - Tags unique to prometheus-eval: gpt4, litellm, llm, llmops. - - When you need detailed and automated evaluations of instruction-response pairs from large language models using both Prometheus metrics and insights from GPT-4. - More GitHub stars (1.1k 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 prometheus-eval - - If your project does not require Prometheus metrics or if you prefer not to integrate an additional service for evaluation. - - When your organization has strict data policies that prohibit using GPT-4 for assessment purposes, such as in scenarios with sensitive data processing outside AWS. ## Common questions ### What is the difference between athina-evals and prometheus-eval? athina-evals: Python SDK for evaluating LLM generated responses. prometheus-eval: Evaluate your LLM's response with Prometheus and GPT4. See the comparison table for live GitHub stats and shared categories. ### When should I choose athina-evals over prometheus-eval? Choose athina-evals over prometheus-eval when Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More recently updated (last pushed Jun 6, 2025). ### When should I choose prometheus-eval over athina-evals? Choose prometheus-eval over athina-evals when Tags unique to prometheus-eval: gpt4, litellm, llm, llmops; - When you need detailed and automated evaluations of instruction-response pairs from large language models using both Prometheus metrics and insights from GPT-4; More GitHub stars (1.1k 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 prometheus-eval? - If your project does not require Prometheus metrics or if you prefer not to integrate an additional service for evaluation. - When your organization has strict data policies that prohibit using GPT-4 for assessment purposes, such as in scenarios with sensitive data processing outside AWS. ### Is athina-evals or prometheus-eval more popular on GitHub? prometheus-eval has more GitHub stars (1,107 vs 301). Stars measure visibility, not whether either tool fits your constraints. ### Are athina-evals and prometheus-eval open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to athina-evals or prometheus-eval? GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [prometheus-eval alternatives](/tools/prometheus-eval-prometheus-eval/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [prometheus-eval markdown twin](/tools/prometheus-eval-prometheus-eval/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-prometheus-eval-prometheus-eval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, athina-evals or prometheus-eval? athina-evals: Dormant. prometheus-eval: 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 prometheus-eval? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [prometheus-eval trust report](/tools/prometheus-eval-prometheus-eval/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/_