--- title: "lm-evaluation-harness vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/eleutherai-lm-evaluation-harness-vs-tirth8205-code-review-graph" tools: ["eleutherai-lm-evaluation-harness", "tirth8205-code-review-graph"] --- # lm-evaluation-harness vs code-review-graph *GraphCanon updated Jul 11, 2026* ## Verdict Pick lm-evaluation-harness when tags unique to lm-evaluation-harness: data-parallelism, evaluation framework, expert-parallelism, language-model; pick code-review-graph when tags unique to code-review-graph: ai-coding, claude, claude-code, code-review. [lm-evaluation-harness](https://www.eleuther.ai) reports 13k GitHub stars, 3.4k forks, and 907 open issues, last pushed Jun 24, 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 [lm-evaluation-harness's repository](https://github.com/EleutherAI/lm-evaluation-harness) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [lm-evaluation-harness](/tools/eleutherai-lm-evaluation-harness.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | A framework for few-shot evaluation of language models. | 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 | 13,253 | 19,416 | | Forks | 3,404 | 2,078 | | Open issues | 907 | 185 | | Language | Python | Python | | Adopt for | lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Evaluation & Observability | Developer Tools, Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lm-evaluation-harness](/tools/eleutherai-lm-evaluation-harness.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Days since push | 16d | 26d | | Open issues (now) | 907 | 185 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/eleutherai-lm-evaluation-harness/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Decision facts: lm-evaluation-harness - **Adopt for:** lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend. ## Choose when ### Choose lm-evaluation-harness if… - Tags unique to lm-evaluation-harness: data-parallelism, evaluation framework, expert-parallelism, language-model. - - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations. - More recently updated (last pushed Jun 24, 2026). ### Choose code-review-graph if… - Tags unique to code-review-graph: ai-coding, claude, claude-code, code-review. - Also covers Developer Tools, LLM Frameworks. - More GitHub stars (19k vs 13k) - visibility, not fit. ## When NOT to use lm-evaluation-harness - - If your evaluation setup requires pipeline parallelism not currently supported by this framework. ## When NOT to use code-review-graph - 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. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between lm-evaluation-harness and code-review-graph? lm-evaluation-harness: A framework for few-shot evaluation of language models.. 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 lm-evaluation-harness over code-review-graph? Choose lm-evaluation-harness over code-review-graph when Tags unique to lm-evaluation-harness: data-parallelism, evaluation framework, expert-parallelism, language-model; - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations; More recently updated (last pushed Jun 24, 2026). ### When should I choose code-review-graph over lm-evaluation-harness? Choose code-review-graph over lm-evaluation-harness when Tags unique to code-review-graph: ai-coding, claude, claude-code, code-review; Also covers Developer Tools, LLM Frameworks; More GitHub stars (19k vs 13k) - visibility, not fit. ### When should I avoid lm-evaluation-harness? - If your evaluation setup requires pipeline parallelism not currently supported by this framework. ### When should I avoid code-review-graph? 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is lm-evaluation-harness or code-review-graph more popular on GitHub? code-review-graph has more GitHub stars (19,416 vs 13,253). Stars measure visibility, not whether either tool fits your constraints. ### Are lm-evaluation-harness and code-review-graph open source? Yes - both are open-source projects on GitHub (lm-evaluation-harness: MIT, code-review-graph: MIT). ### Where can I find alternatives to lm-evaluation-harness or code-review-graph? GraphCanon lists graph-backed alternatives at [lm-evaluation-harness alternatives](/tools/eleutherai-lm-evaluation-harness/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([lm-evaluation-harness markdown twin](/tools/eleutherai-lm-evaluation-harness/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/eleutherai-lm-evaluation-harness-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, lm-evaluation-harness or code-review-graph? lm-evaluation-harness: 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 lm-evaluation-harness and code-review-graph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lm-evaluation-harness trust report](/tools/eleutherai-lm-evaluation-harness/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=eleutherai-lm-evaluation-harness`](/api/graphcanon/graph?tool=eleutherai-lm-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/_