---
title: "lighteval vs chinese-llm-benchmark"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/huggingface-lighteval-vs-jeinlee1991-chinese-llm-benchmark"
tools: ["huggingface-lighteval", "jeinlee1991-chinese-llm-benchmark"]
---

# lighteval vs chinese-llm-benchmark

*GraphCanon updated Aug 7, 2026*

## Verdict

Pick lighteval if 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; pick chinese-llm-benchmark if 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。.

[lighteval](https://huggingface.co/docs/lighteval/en/index) reports 2.5k GitHub stars, 523 forks, and 366 open issues, last pushed Jun 29, 2026. [chinese-llm-benchmark](https://nonelinear.com) has 6.4k stars, 261 forks, and 17 open issues, last pushed Aug 4, 2026. Figures are from public GitHub metadata via [lighteval's repository](https://github.com/huggingface/lighteval) and [chinese-llm-benchmark's repository](https://github.com/jeinlee1991/chinese-llm-benchmark).

| | [lighteval](/tools/huggingface-lighteval.md) | [chinese-llm-benchmark](/tools/jeinlee1991-chinese-llm-benchmark.md) |
| --- | --- | --- |
| Tagline | All-in-one toolkit for evaluating LLMs across multiple backends | ReLE评测：中文AI大模型能力评测 |
| Stars | 2,508 | 6,353 |
| Forks | 523 | 261 |
| Open issues | 366 | 17 |
| Language | 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. | 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 | MIT | - |
| Categories | Evaluation & Observability | Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [lighteval](/tools/huggingface-lighteval.md) | [chinese-llm-benchmark](/tools/jeinlee1991-chinese-llm-benchmark.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 38d | 2d |
| Open issues (now) | 366 | 17 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/huggingface-lighteval/trust.md) | [trust report](/tools/jeinlee1991-chinese-llm-benchmark/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.

## 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 lighteval if…

- Tags unique to lighteval: evaluation, evaluation-framework, evaluation-metrics, huggingface.
- When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments.

### Choose chinese-llm-benchmark if…

- Tags unique to chinese-llm-benchmark: agentic-ai, artificial-intelligence, llm-agent, 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 GitHub stars (6.4k 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 chinese-llm-benchmark

- 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 chinese-llm-benchmark?

lighteval: All-in-one toolkit for evaluating LLMs across multiple backends. 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 lighteval over chinese-llm-benchmark?

Choose lighteval over chinese-llm-benchmark when Tags unique to lighteval: evaluation, evaluation-framework, evaluation-metrics, huggingface; When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments.

### When should I choose chinese-llm-benchmark over lighteval?

Choose chinese-llm-benchmark over lighteval when Tags unique to chinese-llm-benchmark: agentic-ai, artificial-intelligence, llm-agent, 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 GitHub stars (6.4k 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 chinese-llm-benchmark?

Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

### Is lighteval or chinese-llm-benchmark more popular on GitHub?

chinese-llm-benchmark has more GitHub stars (6,353 vs 2,508). Stars measure visibility, not whether either tool fits your constraints.

### Are lighteval and chinese-llm-benchmark open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to lighteval or chinese-llm-benchmark?

GraphCanon lists graph-backed alternatives at [lighteval alternatives](/tools/huggingface-lighteval/alternatives) and [chinese-llm-benchmark alternatives](/tools/jeinlee1991-chinese-llm-benchmark/alternatives) ([lighteval markdown twin](/tools/huggingface-lighteval/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/huggingface-lighteval-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, lighteval or chinese-llm-benchmark?

lighteval: Steady. 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 lighteval and chinese-llm-benchmark?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lighteval trust report](/tools/huggingface-lighteval/trust); [chinese-llm-benchmark trust report](/tools/jeinlee1991-chinese-llm-benchmark/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/_
