Home/Compare/chinese-llm-benchmark vs code-review-graph

Comparison

chinese-llm-benchmark vs code-review-graph

Verdict

Pick chinese-llm-benchmark when tags unique to chinese-llm-benchmark: artificial-intelligence, llm-agent, agentic-ai, llm evaluation; pick code-review-graph when tags unique to code-review-graph: graphrag, ai-coding, incremental, llm.

Markdown twin · chinese-llm-benchmark alternatives · code-review-graph alternatives

GraphCanon updated today

chinese-llm-benchmark logo

chinese-llm-benchmark

jeinlee1991/chinese-llm-benchmark

6.3kpushed Jul 9, 2026
vs
code-review-graph logo

code-review-graph

tirth8205/code-review-graph

19kpushed Jun 14, 2026

Trust & integrity

Signalchinese-llm-benchmarkcode-review-graph
Maintenance
Very active (2d since push)
As of today · github_public_v1
Active (26d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No MCP manifest
As of today · mcp_manifest

Tagline

chinese-llm-benchmark
ReLE评测:中文AI大模型能力评测
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

chinese-llm-benchmark
6.3k
code-review-graph
19k

Forks

chinese-llm-benchmark
256
code-review-graph
2.1k

Open issues

chinese-llm-benchmark
16
code-review-graph
185

Language

chinese-llm-benchmark
-
code-review-graph
Python

Adopt for

chinese-llm-benchmark
chinese-llm-benchmark (ReLE评测) 是一个专门用于评估中文大规模语言模型的工具,它可以全面评测涵盖商用和开源的大规模语言模型,并提供详细排行榜及超过200万条缺陷数据。它的主要特点是多维度评估能力和丰富的领域覆盖范围。
code-review-graph
-

Persona

chinese-llm-benchmark
-
code-review-graph
-

Runtime

chinese-llm-benchmark
-
code-review-graph
-

License

chinese-llm-benchmark
-
code-review-graph
MIT

Last pushed

chinese-llm-benchmark
Jul 9, 2026
code-review-graph
Jun 14, 2026

Categories

chinese-llm-benchmark
Evaluation & Observability
code-review-graph
LLM Frameworks, Developer Tools, Evaluation & Observability

Trust and health

Maintenance

chinese-llm-benchmark
Very active (96%)
code-review-graph
Active (82%)

Days since push

chinese-llm-benchmark
2d
code-review-graph
26d

Open issues (now)

chinese-llm-benchmark
16
code-review-graph
185

Security scan

chinese-llm-benchmark
No lockfile
code-review-graph
No MCP manifest

Full report

chinese-llm-benchmark
Trust report
code-review-graph
Trust report

Choose chinese-llm-benchmark if…

  • Tags unique to chinese-llm-benchmark: artificial-intelligence, llm-agent, agentic-ai, llm evaluation.
  • 当需要对多种中文字句生成、理解能力进行综合评价时使用;
  • More recently updated (last pushed Jul 9, 2026).

When NOT to use chinese-llm-benchmark

  • 当评估对象仅限于英文或其他非中文的语言模型时不应使用此工具;
  • 如果您的主要关注点是多语种支持或模型在特定国际化场景中的性能表现。
  • 如果您需要的是一款侧重于通用语言处理任务而非特定领域知识和应用领域的评测工具。

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 6.3k) - visibility, not fit.

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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: chinese-llm-benchmark 6.3k · code-review-graph 19k (synced Jul 11, 2026).

Common questions

What is the difference between chinese-llm-benchmark and code-review-graph?
chinese-llm-benchmark: ReLE评测:中文AI大模型能力评测. 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 chinese-llm-benchmark over code-review-graph?
Choose chinese-llm-benchmark over code-review-graph when Tags unique to chinese-llm-benchmark: artificial-intelligence, llm-agent, agentic-ai, llm evaluation; 当需要对多种中文字句生成、理解能力进行综合评价时使用;; More recently updated (last pushed Jul 9, 2026).
When should I choose code-review-graph over chinese-llm-benchmark?
Choose code-review-graph over chinese-llm-benchmark when Tags unique to code-review-graph: graphrag, ai-coding, incremental, llm; Also covers LLM Frameworks, Developer Tools; More GitHub stars (19k vs 6.3k) - visibility, not fit.
When should I avoid chinese-llm-benchmark?
当评估对象仅限于英文或其他非中文的语言模型时不应使用此工具; 如果您的主要关注点是多语种支持或模型在特定国际化场景中的性能表现。 如果您需要的是一款侧重于通用语言处理任务而非特定领域知识和应用领域的评测工具。
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 chinese-llm-benchmark or code-review-graph more popular on GitHub?
code-review-graph has more GitHub stars (19,416 vs 6,265). Stars measure visibility, not whether either tool fits your constraints.
Are chinese-llm-benchmark and code-review-graph open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to chinese-llm-benchmark or code-review-graph?
GraphCanon lists graph-backed alternatives at chinese-llm-benchmark alternatives and code-review-graph alternatives (chinese-llm-benchmark 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, chinese-llm-benchmark or code-review-graph?
chinese-llm-benchmark: Very 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 chinese-llm-benchmark and code-review-graph?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chinese-llm-benchmark trust report; code-review-graph trust report.