--- title: "just-eval vs auto-evaluator" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/re-align-just-eval-vs-rlancemartin-auto-evaluator" tools: ["re-align-just-eval", "rlancemartin-auto-evaluator"] --- # just-eval vs auto-evaluator *GraphCanon updated Sep 20, 2026* ## Verdict Pick just-eval if just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs; 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. [just-eval](https://allenai.github.io/re-align/) reports 90 GitHub stars, 7 forks, and 2 open issues, last pushed Jan 29, 2024. [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 [just-eval's repository](https://github.com/Re-Align/just-eval) and [auto-evaluator's repository](https://github.com/rlancemartin/auto-evaluator). | | [just-eval](/tools/re-align-just-eval.md) | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) | | --- | --- | --- | | Tagline | A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs. | A lightweight evaluation tool for question-answering using Langchain | | Stars | 90 | 1,102 | | Forks | 7 | 92 | | Open issues | 2 | 3 | | Language | Python | Python | | Adopt for | just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs. | 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 | MIT | - | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [just-eval](/tools/re-align-just-eval.md) | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) | | --- | --- | --- | | Days since push | 953d | 1216d | | Open issues (now) | 2 | 3 | | Stars delta | 0 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/re-align-just-eval/trust.md) | [trust report](/tools/rlancemartin-auto-evaluator/trust.md) | ## Shared compatibility - **OpenAI API**: [just-eval](/tools/re-align-just-eval.md) - OpenAI API; [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) - OpenAI API - **Python**: [just-eval](/tools/re-align-just-eval.md) - Python runtime; [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) - Python runtime ## Decision facts: just-eval - **Adopt for:** just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs. ## 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 just-eval if… - Tags unique to just-eval: gpt4, llm-eval, llm-evaluation, llm-evaluation-toolkit. - When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects. - More recently updated (last pushed Jan 29, 2024). ### 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. - More GitHub stars (1.1k vs 90) - visibility, not fit. ## When NOT to use just-eval - Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. - Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments. ## 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 just-eval and auto-evaluator? just-eval: A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.. 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 just-eval over auto-evaluator? Choose just-eval over auto-evaluator when Tags unique to just-eval: gpt4, llm-eval, llm-evaluation, llm-evaluation-toolkit; When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects; More recently updated (last pushed Jan 29, 2024). ### When should I choose auto-evaluator over just-eval? Choose auto-evaluator over just-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; More GitHub stars (1.1k vs 90) - visibility, not fit. ### When should I avoid just-eval? Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments. ### 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 just-eval or auto-evaluator more popular on GitHub? auto-evaluator has more GitHub stars (1,102 vs 90). Stars measure visibility, not whether either tool fits your constraints. ### Are just-eval and auto-evaluator open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to just-eval or auto-evaluator? GraphCanon lists graph-backed alternatives at [just-eval alternatives](/tools/re-align-just-eval/alternatives) and [auto-evaluator alternatives](/tools/rlancemartin-auto-evaluator/alternatives) ([just-eval markdown twin](/tools/re-align-just-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/re-align-just-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, just-eval or auto-evaluator? just-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 just-eval and auto-evaluator? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [just-eval trust report](/tools/re-align-just-eval/trust); [auto-evaluator trust report](/tools/rlancemartin-auto-evaluator/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=re-align-just-eval`](/api/graphcanon/graph?tool=re-align-just-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/_