Comparison
lm-evaluation-harness vs code-review-graph
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.
Markdown twin · lm-evaluation-harness alternatives · code-review-graph alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | lm-evaluation-harness | code-review-graph |
|---|---|---|
| Maintenance | Active (16d since push) As of 1d · github_public_v1 | Active (26d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No MCP manifest As of today · mcp_manifest |
Tagline
- 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
Stars
- lm-evaluation-harness
- 13k
- code-review-graph
- 19k
Forks
- lm-evaluation-harness
- 3.4k
- code-review-graph
- 2.1k
Open issues
- lm-evaluation-harness
- 907
- code-review-graph
- 185
Language
- lm-evaluation-harness
- Python
- code-review-graph
- Python
Adopt for
- lm-evaluation-harness
- 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.
- code-review-graph
- -
Persona
- lm-evaluation-harness
- -
- code-review-graph
- -
Runtime
- lm-evaluation-harness
- -
- code-review-graph
- -
License
- lm-evaluation-harness
- MIT
- code-review-graph
- MIT
Last pushed
- lm-evaluation-harness
- Jun 24, 2026
- code-review-graph
- Jun 14, 2026
Categories
- lm-evaluation-harness
- Evaluation & Observability
- code-review-graph
- Developer Tools, Evaluation & Observability, LLM Frameworks
Trust and health
Days since push
- lm-evaluation-harness
- 16d
- code-review-graph
- 26d
Open issues (now)
- lm-evaluation-harness
- 907
- code-review-graph
- 185
Owner type
- lm-evaluation-harness
- Organization
- code-review-graph
- User
Security scan
- lm-evaluation-harness
- No lockfile
- code-review-graph
- No MCP manifest
Full report
- lm-evaluation-harness
- Trust report
- code-review-graph
- Trust report
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).
When NOT to use lm-evaluation-harness
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (EleutherAI/lm-evaluation-harness) · observed Jul 11, 2026
- GitHub forks (EleutherAI/lm-evaluation-harness) · observed Jul 11, 2026
- Last push (EleutherAI/lm-evaluation-harness) · observed Jun 24, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tirth8205/code-review-graph) · observed Jul 11, 2026
- GitHub forks (tirth8205/code-review-graph) · observed Jul 11, 2026
- Last push (tirth8205/code-review-graph) · observed Jun 14, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lm-evaluation-harness 13k · code-review-graph 19k (synced Jul 11, 2026).
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 and code-review-graph alternatives (lm-evaluation-harness markdown twin, code-review-graph markdown twin), 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 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; code-review-graph trust report.