--- title: "lighteval vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/huggingface-lighteval-vs-tirth8205-code-review-graph" tools: ["huggingface-lighteval", "tirth8205-code-review-graph"] --- # lighteval vs code-review-graph *GraphCanon updated Jul 12, 2026* ## Verdict Pick lighteval when tags unique to lighteval: evaluation, python, huggingface, evaluation-metrics; pick code-review-graph when tags unique to code-review-graph: graphrag, ai-coding, incremental, llm. [lighteval](https://huggingface.co/docs/lighteval/en/index) reports 2.5k GitHub stars, 506 forks, and 347 open issues, last pushed Jun 29, 2026. [code-review-graph](https://code-review-graph.com) has 19k stars, 2.1k forks, and 185 open issues, last pushed Jun 14, 2026. Figures are from public GitHub metadata via [lighteval's repository](https://github.com/huggingface/lighteval) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [lighteval](/tools/huggingface-lighteval.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | All-in-one toolkit for evaluating LLMs across multiple backends | Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w | | Stars | 2,472 | 19,416 | | Forks | 506 | 2,078 | | Open issues | 347 | 185 | | Language | Python | Python | | Adopt for | Lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Evaluation & Observability | LLM Frameworks, Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lighteval](/tools/huggingface-lighteval.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Days since push | 11d | 26d | | Open issues (now) | 347 | 185 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/huggingface-lighteval/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Decision facts: lighteval - **Adopt for:** Lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments. ## Choose when ### Choose lighteval if… - Tags unique to lighteval: evaluation, python, huggingface, evaluation-metrics. - When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments. - More recently updated (last pushed Jun 29, 2026). ### Choose code-review-graph if… - Tags unique to code-review-graph: graphrag, ai-coding, incremental, llm. - Also covers LLM Frameworks, Developer Tools. - More GitHub stars (19k vs 2.5k) - visibility, not fit. ## When NOT to use lighteval - Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there. - Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs. ## When NOT to use code-review-graph - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between lighteval and code-review-graph? lighteval: All-in-one toolkit for evaluating LLMs across multiple backends. code-review-graph: Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w. See the comparison table for live GitHub stats and shared categories. ### When should I choose lighteval over code-review-graph? Choose lighteval over code-review-graph when Tags unique to lighteval: evaluation, python, huggingface, evaluation-metrics; When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments; More recently updated (last pushed Jun 29, 2026). ### When should I choose code-review-graph over lighteval? Choose code-review-graph over lighteval when Tags unique to code-review-graph: graphrag, ai-coding, incremental, llm; Also covers LLM Frameworks, Developer Tools; More GitHub stars (19k vs 2.5k) - visibility, not fit. ### When should I avoid lighteval? Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there. Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs. ### When should I avoid code-review-graph? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is lighteval or code-review-graph more popular on GitHub? code-review-graph has more GitHub stars (19,416 vs 2,472). Stars measure visibility, not whether either tool fits your constraints. ### Are lighteval and code-review-graph open source? Yes - both are open-source projects on GitHub (lighteval: MIT, code-review-graph: MIT). ### Where can I find alternatives to lighteval or code-review-graph? GraphCanon lists graph-backed alternatives at [lighteval alternatives](/tools/huggingface-lighteval/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([lighteval markdown twin](/tools/huggingface-lighteval/alternatives.md), [code-review-graph markdown twin](/tools/tirth8205-code-review-graph/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/huggingface-lighteval-vs-tirth8205-code-review-graph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lighteval or code-review-graph? lighteval: Active. code-review-graph: Active. 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 lighteval and code-review-graph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lighteval trust report](/tools/huggingface-lighteval/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=huggingface-lighteval`](/api/graphcanon/graph?tool=huggingface-lighteval) - 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/_