--- title: "bigcode-evaluation-harness vs auto-evaluator" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-bigcode-evaluation-harness-vs-langchain-ai-auto-evaluator" tools: ["bigcode-project-bigcode-evaluation-harness", "langchain-ai-auto-evaluator"] --- # bigcode-evaluation-harness vs auto-evaluator *GraphCanon updated Aug 8, 2026* ## Verdict Pick bigcode-evaluation-harness when bigcode-evaluation-harness is primarily Python; auto-evaluator is TypeScript; pick auto-evaluator when auto-evaluator is primarily TypeScript; bigcode-evaluation-harness is Python. [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness) reports 1.1k GitHub stars, 261 forks, and 96 open issues, last pushed Jul 22, 2025. [auto-evaluator](https://autoevaluator.langchain.com/) has 783 stars, 102 forks, and 21 open issues, last pushed Jun 26, 2025. Figures are from public GitHub metadata via [bigcode-evaluation-harness's repository](https://github.com/bigcode-project/bigcode-evaluation-harness) and [auto-evaluator's repository](https://github.com/langchain-ai/auto-evaluator). | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [auto-evaluator](/tools/langchain-ai-auto-evaluator.md) | | --- | --- | --- | | Tagline | A framework for evaluating autoregressive code generation language models. | auto-evaluator | | Stars | 1,055 | 783 | | Forks | 261 | 102 | | Open issues | 96 | 21 | | Language | Python | TypeScript | | Adopt for | bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments. | - | | Persona | - | - | | Runtime | - | - | | License | bigcode-evaluation-harness is distributed under the Apache-2.0 license. | Other | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [auto-evaluator](/tools/langchain-ai-auto-evaluator.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 378d | 408d | | Archived on GitHub | No | Yes | | Open issues (now) | 96 | 21 | | Full report | [trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust.md) | [trust report](/tools/langchain-ai-auto-evaluator/trust.md) | ## Decision facts: bigcode-evaluation-harness - **Requirements:** Users must have Docker installed to leverage the isolated execution environments for model output evaluation. - **Adopt for:** bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments. - **License detail:** bigcode-evaluation-harness is distributed under the Apache-2.0 license. ## Choose when ### Choose bigcode-evaluation-harness if… - bigcode-evaluation-harness is primarily Python; auto-evaluator is TypeScript. - License: bigcode-evaluation-harness is Apache-2.0, auto-evaluator is Other. - Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.. - Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python. - bigcode-evaluation-harness ships Docker support for self-hosted deployment. - When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments. ### Choose auto-evaluator if… - auto-evaluator is primarily TypeScript; bigcode-evaluation-harness is Python. - License: auto-evaluator is Other, bigcode-evaluation-harness is Apache-2.0. - 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 NOT to use bigcode-evaluation-harness - When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. - If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity. ## 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 ## Common questions ### What is the difference between bigcode-evaluation-harness and auto-evaluator? bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. auto-evaluator: auto-evaluator. See the comparison table for live GitHub stats and shared categories. ### When should I choose bigcode-evaluation-harness over auto-evaluator? Choose bigcode-evaluation-harness over auto-evaluator when bigcode-evaluation-harness is primarily Python; auto-evaluator is TypeScript; License: bigcode-evaluation-harness is Apache-2.0, auto-evaluator is Other; Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.; Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python; bigcode-evaluation-harness ships Docker support for self-hosted deployment; When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments. ### When should I choose auto-evaluator over bigcode-evaluation-harness? Choose auto-evaluator over bigcode-evaluation-harness when auto-evaluator is primarily TypeScript; bigcode-evaluation-harness is Python; License: auto-evaluator is Other, bigcode-evaluation-harness is Apache-2.0; 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 avoid bigcode-evaluation-harness? When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity. ### 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 ### Is bigcode-evaluation-harness or auto-evaluator more popular on GitHub? bigcode-evaluation-harness has more GitHub stars (1,055 vs 783). Stars measure visibility, not whether either tool fits your constraints. ### Are bigcode-evaluation-harness and auto-evaluator open source? Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, auto-evaluator: Other). ### Where can I find alternatives to bigcode-evaluation-harness or auto-evaluator? GraphCanon lists graph-backed alternatives at [bigcode-evaluation-harness alternatives](/tools/bigcode-project-bigcode-evaluation-harness/alternatives) and [auto-evaluator alternatives](/tools/langchain-ai-auto-evaluator/alternatives) ([bigcode-evaluation-harness markdown twin](/tools/bigcode-project-bigcode-evaluation-harness/alternatives.md), [auto-evaluator markdown twin](/tools/langchain-ai-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/bigcode-project-bigcode-evaluation-harness-vs-langchain-ai-auto-evaluator.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, bigcode-evaluation-harness or auto-evaluator? bigcode-evaluation-harness: Dormant. auto-evaluator: Archived. 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 bigcode-evaluation-harness and auto-evaluator? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [bigcode-evaluation-harness trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust); [auto-evaluator trust report](/tools/langchain-ai-auto-evaluator/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness`](/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness) - 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/_