--- title: "auto-evaluator vs auto-evaluator" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-auto-evaluator-vs-rlancemartin-auto-evaluator" tools: ["langchain-ai-auto-evaluator", "rlancemartin-auto-evaluator"] --- # auto-evaluator vs auto-evaluator *GraphCanon updated Aug 8, 2026* ## Verdict Pick auto-evaluator when auto-evaluator is primarily TypeScript; auto-evaluator is Python; pick auto-evaluator when auto-evaluator is primarily Python; auto-evaluator is TypeScript. [auto-evaluator](https://autoevaluator.langchain.com/) reports 783 GitHub stars, 102 forks, and 21 open issues, last pushed Jun 26, 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 [auto-evaluator's repository](https://github.com/langchain-ai/auto-evaluator) and [auto-evaluator's repository](https://github.com/rlancemartin/auto-evaluator). | | [auto-evaluator](/tools/langchain-ai-auto-evaluator.md) | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) | | --- | --- | --- | | Tagline | auto-evaluator | A lightweight evaluation tool for question-answering using Langchain | | Stars | 783 | 1,105 | | Forks | 102 | 92 | | Open issues | 21 | 3 | | Language | TypeScript | Python | | 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. | | Persona | - | - | | Runtime | - | - | | License | Other | - | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [auto-evaluator](/tools/langchain-ai-auto-evaluator.md) | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Dormant (18%) | | Days since push | 408d | 1186d | | Archived on GitHub | Yes | No | | Open issues (now) | 21 | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/langchain-ai-auto-evaluator/trust.md) | [trust report](/tools/rlancemartin-auto-evaluator/trust.md) | ## 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 auto-evaluator if… - auto-evaluator is primarily TypeScript; auto-evaluator is Python. - Tags unique to auto-evaluator: auto-evaluation, railway, typescript, vercel. - Use auto-evaluator when you are working with TypeScript and need an integrated solution for evaluating AI models ### Choose auto-evaluator if… - auto-evaluator is primarily Python; auto-evaluator is TypeScript. - Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm. - Use when you need a lightweight solution for testing question-answering capabilities of Langchain models. ## When NOT to use auto-evaluator - Avoid using auto-evaluator if you require a multi-language support environment, as it focuses solely on TypeScript - Do not use this tool if your project's hosting requirements do not align with using Vercel or Railway ## 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 auto-evaluator and auto-evaluator? auto-evaluator: auto-evaluator. 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 auto-evaluator over auto-evaluator? Choose auto-evaluator over auto-evaluator when auto-evaluator is primarily TypeScript; auto-evaluator is Python; Tags unique to auto-evaluator: auto-evaluation, railway, typescript, vercel; Use auto-evaluator when you are working with TypeScript and need an integrated solution for evaluating AI models. ### When should I choose auto-evaluator over auto-evaluator? Choose auto-evaluator over auto-evaluator when auto-evaluator is primarily Python; auto-evaluator is TypeScript; Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models. ### When should I avoid auto-evaluator? Avoid using auto-evaluator if you require a multi-language support environment, as it focuses solely on TypeScript Do not use this tool if your project's hosting requirements do not align with using Vercel or Railway ### 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 auto-evaluator or auto-evaluator more popular on GitHub? auto-evaluator has more GitHub stars (1,105 vs 783). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-evaluator and auto-evaluator open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to auto-evaluator or auto-evaluator? GraphCanon lists graph-backed alternatives at [auto-evaluator alternatives](/tools/langchain-ai-auto-evaluator/alternatives) and [auto-evaluator alternatives](/tools/rlancemartin-auto-evaluator/alternatives) ([auto-evaluator markdown twin](/tools/langchain-ai-auto-evaluator/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/langchain-ai-auto-evaluator-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, auto-evaluator or auto-evaluator? auto-evaluator: Archived. 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 auto-evaluator and auto-evaluator? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-evaluator trust report](/tools/langchain-ai-auto-evaluator/trust); [auto-evaluator trust report](/tools/rlancemartin-auto-evaluator/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-auto-evaluator`](/api/graphcanon/graph?tool=langchain-ai-auto-evaluator) - 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/_