--- title: "prometheus-eval vs auto-evaluator" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/prometheus-eval-prometheus-eval-vs-rlancemartin-auto-evaluator" tools: ["prometheus-eval-prometheus-eval", "rlancemartin-auto-evaluator"] --- # prometheus-eval vs auto-evaluator *GraphCanon updated Aug 21, 2026* ## Verdict Pick prometheus-eval if prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in Python, under the Apache-2.0 license; pick auto-evaluator if auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI. [prometheus-eval](https://github.com/prometheus-eval/prometheus-eval) reports 1.1k GitHub stars, 68 forks, and 13 open issues, last pushed Apr 25, 2025. [auto-evaluator](https://autoevaluator.langchain.com/) has 1.1k stars, 92 forks, and 3 open issues, last pushed May 10, 2023. Figures are from public GitHub metadata via [prometheus-eval's repository](https://github.com/prometheus-eval/prometheus-eval) and [auto-evaluator's repository](https://github.com/rlancemartin/auto-evaluator). | | [prometheus-eval](/tools/prometheus-eval-prometheus-eval.md) | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) | | --- | --- | --- | | Tagline | Evaluate your LLM's response with Prometheus and GPT4 | A lightweight evaluation tool for question-answering using Langchain | | Stars | 1,107 | 1,105 | | Forks | 68 | 92 | | Open issues | 13 | 3 | | Language | Python | Python | | Adopt for | Prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in Python, under the Apache-2.0 license. | Auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prometheus-eval](/tools/prometheus-eval-prometheus-eval.md) | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) | | --- | --- | --- | | Days since push | 482d | 1186d | | Open issues (now) | 13 | 3 | | Stars delta | +5 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/prometheus-eval-prometheus-eval/trust.md) | [trust report](/tools/rlancemartin-auto-evaluator/trust.md) | ## Shared compatibility - **Python**: [prometheus-eval](/tools/prometheus-eval-prometheus-eval.md) - Python runtime; [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) - Python runtime ## 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. ## Decision facts: auto-evaluator - **Adopt for:** Auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI. ## Choose when ### Choose prometheus-eval if… - Tags unique to prometheus-eval: gpt4, litellm, llmops, python. - - 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 1.1k) - visibility, not fit. ### Choose auto-evaluator if… - Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, question-answering. - Use when you need a lightweight solution for testing question-answering capabilities of Langchain models. - Leaner open-issue backlog (3). ## 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. ## When NOT to use auto-evaluator - Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings. - If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature. ## Common questions ### What is the difference between prometheus-eval and auto-evaluator? prometheus-eval: Evaluate your LLM's response with Prometheus and GPT4. auto-evaluator: A lightweight evaluation tool for question-answering using Langchain. See the comparison table for live GitHub stats and shared categories. ### When should I choose prometheus-eval over auto-evaluator? Choose prometheus-eval over auto-evaluator when Tags unique to prometheus-eval: gpt4, litellm, llmops, python; - 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 1.1k) - visibility, not fit. ### When should I choose auto-evaluator over prometheus-eval? Choose auto-evaluator over prometheus-eval when Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, question-answering; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; Leaner open-issue backlog (3). ### 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. ### When should I avoid auto-evaluator? Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings. If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature. ### Is prometheus-eval or auto-evaluator more popular on GitHub? prometheus-eval has more GitHub stars (1,107 vs 1,105). Stars measure visibility, not whether either tool fits your constraints. ### Are prometheus-eval and auto-evaluator open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to prometheus-eval or auto-evaluator? GraphCanon lists graph-backed alternatives at [prometheus-eval alternatives](/tools/prometheus-eval-prometheus-eval/alternatives) and [auto-evaluator alternatives](/tools/rlancemartin-auto-evaluator/alternatives) ([prometheus-eval markdown twin](/tools/prometheus-eval-prometheus-eval/alternatives.md), [auto-evaluator markdown twin](/tools/rlancemartin-auto-evaluator/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/prometheus-eval-prometheus-eval-vs-rlancemartin-auto-evaluator.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prometheus-eval or auto-evaluator? prometheus-eval: Dormant. auto-evaluator: 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 prometheus-eval and auto-evaluator? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prometheus-eval trust report](/tools/prometheus-eval-prometheus-eval/trust); [auto-evaluator trust report](/tools/rlancemartin-auto-evaluator/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=prometheus-eval-prometheus-eval`](/api/graphcanon/graph?tool=prometheus-eval-prometheus-eval) - 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/_