--- title: "deepeval vs chinese-llm-benchmark" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/confident-ai-deepeval-vs-jeinlee1991-chinese-llm-benchmark" tools: ["confident-ai-deepeval", "jeinlee1991-chinese-llm-benchmark"] --- # deepeval vs chinese-llm-benchmark *GraphCanon updated Jul 11, 2026* ## Verdict Pick deepeval when tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; pick chinese-llm-benchmark when tags unique to chinese-llm-benchmark: artificial-intelligence, llm-agent, agentic-ai. [deepeval](https://deepeval.com) reports 17k GitHub stars, 1.6k forks, and 334 open issues, last pushed Jul 10, 2026. [chinese-llm-benchmark](https://nonelinear.com) has 6.3k stars, 256 forks, and 16 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [deepeval's repository](https://github.com/confident-ai/deepeval) and [chinese-llm-benchmark's repository](https://github.com/jeinlee1991/chinese-llm-benchmark). | | [deepeval](/tools/confident-ai-deepeval.md) | [chinese-llm-benchmark](/tools/jeinlee1991-chinese-llm-benchmark.md) | | --- | --- | --- | | Tagline | The LLM Evaluation Framework | ReLE评测：中文AI大模型能力评测 | | Stars | 16,767 | 6,265 | | Forks | 1,641 | 256 | | Open issues | 334 | 16 | | Language | Python | - | | Adopt for | - | 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。 | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | LLM Frameworks, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deepeval](/tools/confident-ai-deepeval.md) | [chinese-llm-benchmark](/tools/jeinlee1991-chinese-llm-benchmark.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 334 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/confident-ai-deepeval/trust.md) | [trust report](/tools/jeinlee1991-chinese-llm-benchmark/trust.md) | ## Decision facts: chinese-llm-benchmark - **Adopt for:** 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。 ## Choose when ### Choose deepeval if… - Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics. - Also covers LLM Frameworks. - More GitHub stars (17k vs 6.3k) - visibility, not fit. ### Choose chinese-llm-benchmark if… - Tags unique to chinese-llm-benchmark: artificial-intelligence, llm-agent, agentic-ai. - 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； - Leaner open-issue backlog (16). ## When NOT to use deepeval - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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。 ## Common questions ### What is the difference between deepeval and chinese-llm-benchmark? deepeval: The LLM Evaluation Framework. chinese-llm-benchmark: ReLE评测：中文AI大模型能力评测. See the comparison table for live GitHub stats and shared categories. ### When should I choose deepeval over chinese-llm-benchmark? Choose deepeval over chinese-llm-benchmark when Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; Also covers LLM Frameworks; More GitHub stars (17k vs 6.3k) - visibility, not fit. ### When should I choose chinese-llm-benchmark over deepeval? Choose chinese-llm-benchmark over deepeval when Tags unique to chinese-llm-benchmark: artificial-intelligence, llm-agent, agentic-ai; 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；; Leaner open-issue backlog (16). ### When should I avoid deepeval? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### 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。 ### Is deepeval or chinese-llm-benchmark more popular on GitHub? deepeval has more GitHub stars (16,767 vs 6,265). Stars measure visibility, not whether either tool fits your constraints. ### Are deepeval and chinese-llm-benchmark open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to deepeval or chinese-llm-benchmark? GraphCanon lists graph-backed alternatives at [deepeval alternatives](/tools/confident-ai-deepeval/alternatives) and [chinese-llm-benchmark alternatives](/tools/jeinlee1991-chinese-llm-benchmark/alternatives) ([deepeval markdown twin](/tools/confident-ai-deepeval/alternatives.md), [chinese-llm-benchmark markdown twin](/tools/jeinlee1991-chinese-llm-benchmark/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/confident-ai-deepeval-vs-jeinlee1991-chinese-llm-benchmark.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deepeval or chinese-llm-benchmark? deepeval: Very active. chinese-llm-benchmark: Very 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 deepeval and chinese-llm-benchmark? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deepeval trust report](/tools/confident-ai-deepeval/trust); [chinese-llm-benchmark trust report](/tools/jeinlee1991-chinese-llm-benchmark/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=confident-ai-deepeval`](/api/graphcanon/graph?tool=confident-ai-deepeval) - 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/_