---
title: "ai-guide vs evals"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/liyupi-ai-guide-vs-openai-evals"
tools: ["liyupi-ai-guide", "openai-evals"]
---

# ai-guide vs evals

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick ai-guide if aI Guide 是一个免费开放的AI知识共享平台，提供从零基础入门到进阶学习的一系列资源与教程。它不仅涵盖了许多热门AI工具及框架的学习指南，还提供了实战项目和变现策略指导。使用AI Guide时，考虑其内容的专业性和广泛性可能会对其目标用户产生重大影响。; pick evals if evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations.

[ai-guide](https://ai.codefather.cn) reports 17k GitHub stars, 1.9k forks, and 4 open issues, last pushed Jul 1, 2026. [evals](https://github.com/openai/evals) has 19k stars, 3.0k forks, and 217 open issues, last pushed Apr 14, 2026. Figures are from public GitHub metadata via [ai-guide's repository](https://github.com/liyupi/ai-guide) and [evals's repository](https://github.com/openai/evals).

| | [ai-guide](/tools/liyupi-ai-guide.md) | [evals](/tools/openai-evals.md) |
| --- | --- | --- |
| Tagline | 免费开放的AI知识共享平台 | Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks. |
| Stars | 17,126 | 18,890 |
| Forks | 1,932 | 3,017 |
| Open issues | 4 | 217 |
| Language | JavaScript | Python |
| Adopt for | AI Guide 是一个免费开放的AI知识共享平台，提供从零基础入门到进阶学习的一系列资源与教程。它不仅涵盖了许多热门AI工具及框架的学习指南，还提供了实战项目和变现策略指导。使用AI Guide时，考虑其内容的专业性和广泛性可能会对其目标用户产生重大影响。 | Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations. |
| Persona | - | - |
| Runtime | - | - |
| License | (未知)，这意味着用户可以使用该平台上的内容，但具体使用权限如修改和分发受未提及的许可证条款限制。 | Other |
| Categories | Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | Evaluation & Observability |

## Trust and health

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

| | [ai-guide](/tools/liyupi-ai-guide.md) | [evals](/tools/openai-evals.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Steady (60%) |
| Days since push | 9d | 87d |
| Open issues (now) | 4 | 217 |
| Owner type | User | Organization |
| Security scan | No MCP manifest | No lockfile |
| Full report | [trust report](/tools/liyupi-ai-guide/trust.md) | [trust report](/tools/openai-evals/trust.md) |

## Decision facts: ai-guide

- **Pricing:** freemium - AI Guide主要提供免费资源与教程。虽然部分内容可能支持捐赠或付费会员服务的形式，但其核心价值主张是为广大用户提供开放且全面的知识入口。
- **Adopt for:** AI Guide 是一个免费开放的AI知识共享平台，提供从零基础入门到进阶学习的一系列资源与教程。它不仅涵盖了许多热门AI工具及框架的学习指南，还提供了实战项目和变现策略指导。使用AI Guide时，考虑其内容的专业性和广泛性可能会对其目标用户产生重大影响。
- **License detail:** (未知)，这意味着用户可以使用该平台上的内容，但具体使用权限如修改和分发受未提及的许可证条款限制。

## Decision facts: evals

- **Adopt for:** Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations.

## Choose when

### Choose ai-guide if…

- ai-guide is primarily JavaScript; evals is Python.
- Pricing: AI Guide主要提供免费资源与教程。虽然部分内容可能支持捐赠或付费会员服务的形式，但其核心价值主张是为广大用户提供开放且全面的知识入口。.
- Tags unique to ai-guide: ai, artificial-intelligence, chatgpt, claude.
- Also covers Developer Tools, Inference & Serving, LLM Frameworks, Model Training.
- 你需要全面、免费的AI知识和技术入门时。作为一个完全开放的知识平台，无论你的技术水平如何，都可以在这里找到适合自己的学习路径和资源。

### Choose evals if…

- evals is primarily Python; ai-guide is JavaScript.
- Tags unique to evals: benchmarking, custom eval creation, evaluation framework, large-language-models.
- * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem.

## When NOT to use ai-guide

- 当你需要特定工具的专业级深度内容时，可能得寻找更专注该领域的专业资料，因为AI Guide作为一个综合性的知识平台，并非针对某一工具或框架的极致优化。
- 如果您已经非常熟悉各种AI开发和技术应用，且正在为某一项具体的技术难题寻求解决方案，那么这个全面入门和扩展学习的内容可能不适合。更适合初学者或者中级用户寻找系统的学习路径。
- 如果你在寻找有关最新的研究文献或尖端技术细节方面的信息，则可能需要查找学术期刊、专业会议论文或其他更专门的研究资料作为补充。AI Guide主要是一个教程与应用指南集合平台，覆盖最新研究成果可能不是其重点。

## When NOT to use evals

- * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key.
- * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a繁

## Common questions

### What is the difference between ai-guide and evals?

ai-guide: 免费开放的AI知识共享平台. evals: Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.. See the comparison table for live GitHub stats and shared categories.

### When should I choose ai-guide over evals?

Choose ai-guide over evals when ai-guide is primarily JavaScript; evals is Python; Pricing: AI Guide主要提供免费资源与教程。虽然部分内容可能支持捐赠或付费会员服务的形式，但其核心价值主张是为广大用户提供开放且全面的知识入口。; Tags unique to ai-guide: ai, artificial-intelligence, chatgpt, claude; Also covers Developer Tools, Inference & Serving, LLM Frameworks, Model Training; 你需要全面、免费的AI知识和技术入门时。作为一个完全开放的知识平台，无论你的技术水平如何，都可以在这里找到适合自己的学习路径和资源。.

### When should I choose evals over ai-guide?

Choose evals over ai-guide when evals is primarily Python; ai-guide is JavaScript; Tags unique to evals: benchmarking, custom eval creation, evaluation framework, large-language-models; * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem.

### When should I avoid ai-guide?

当你需要特定工具的专业级深度内容时，可能得寻找更专注该领域的专业资料，因为AI Guide作为一个综合性的知识平台，并非针对某一工具或框架的极致优化。 如果您已经非常熟悉各种AI开发和技术应用，且正在为某一项具体的技术难题寻求解决方案，那么这个全面入门和扩展学习的内容可能不适合。更适合初学者或者中级用户寻找系统的学习路径。 如果你在寻找有关最新的研究文献或尖端技术细节方面的信息，则可能需要查找学术期刊、专业会议论文或其他更专门的研究资料作为补充。AI Guide主要是一个教程与应用指南集合平台，覆盖最新研究成果可能不是其重点。

### When should I avoid evals?

* When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a繁

### Is ai-guide or evals more popular on GitHub?

evals has more GitHub stars (18,890 vs 17,126). Stars measure visibility, not whether either tool fits your constraints.

### Are ai-guide and evals open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to ai-guide or evals?

GraphCanon lists graph-backed alternatives at [ai-guide alternatives](/tools/liyupi-ai-guide/alternatives) and [evals alternatives](/tools/openai-evals/alternatives) ([ai-guide markdown twin](/tools/liyupi-ai-guide/alternatives.md), [evals markdown twin](/tools/openai-evals/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/liyupi-ai-guide-vs-openai-evals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, ai-guide or evals?

ai-guide: Active. evals: Steady. 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 ai-guide and evals?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-guide trust report](/tools/liyupi-ai-guide/trust); [evals trust report](/tools/openai-evals/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=liyupi-ai-guide`](/api/graphcanon/graph?tool=liyupi-ai-guide)
- 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/_