--- title: "ai-engineering-from-scratch-zh vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fancyboi999-ai-engineering-from-scratch-zh-vs-sindresorhus-awesome" tools: ["fancyboi999-ai-engineering-from-scratch-zh", "sindresorhus-awesome"] --- # ai-engineering-from-scratch-zh vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick ai-engineering-from-scratch-zh when license: ai-engineering-from-scratch-zh is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, ai-engineering-from-scratch-zh is MIT. [ai-engineering-from-scratch-zh](https://aieng-zh.cn) reports 805 GitHub stars, 115 forks, and 4 open issues, last pushed Jun 26, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [ai-engineering-from-scratch-zh's repository](https://github.com/fancyboi999/ai-engineering-from-scratch-zh) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [ai-engineering-from-scratch-zh](/tools/fancyboi999-ai-engineering-from-scratch-zh.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南 | 😎 Awesome lists about all kinds of interesting topics | | Stars | 805 | 484,026 | | Forks | 115 | 35,799 | | Open issues | 4 | 92 | | Language | Python | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | AI Agents, LLM Frameworks, Vector Databases | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-engineering-from-scratch-zh](/tools/fancyboi999-ai-engineering-from-scratch-zh.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Days since push | 15d | 11d | | Open issues (now) | 4 | 92 | | Security scan | 83 low (83 low) | No lockfile | | Full report | [trust report](/tools/fancyboi999-ai-engineering-from-scratch-zh/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose ai-engineering-from-scratch-zh if… - License: ai-engineering-from-scratch-zh is MIT, awesome is CC0-1.0. - Tags unique to ai-engineering-from-scratch-zh: agents, ai, ai-agents, ai-engineering. - Also covers AI Agents, LLM Frameworks, Vector Databases. ### Choose awesome if… - License: awesome is CC0-1.0, ai-engineering-from-scratch-zh is MIT. - Tags unique to awesome: awesome, awesome-list, lists, resources. - Also covers Developer Tools. - When you need well-organized access to diverse technical subjects from IoT to robotics ## When NOT to use ai-engineering-from-scratch-zh - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use awesome - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## Common questions ### What is the difference between ai-engineering-from-scratch-zh and awesome? ai-engineering-from-scratch-zh: Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-engineering-from-scratch-zh over awesome? Choose ai-engineering-from-scratch-zh over awesome when License: ai-engineering-from-scratch-zh is MIT, awesome is CC0-1.0; Tags unique to ai-engineering-from-scratch-zh: agents, ai, ai-agents, ai-engineering; Also covers AI Agents, LLM Frameworks, Vector Databases. ### When should I choose awesome over ai-engineering-from-scratch-zh? Choose awesome over ai-engineering-from-scratch-zh when License: awesome is CC0-1.0, ai-engineering-from-scratch-zh is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; Also covers Developer Tools; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I avoid ai-engineering-from-scratch-zh? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid awesome? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### Is ai-engineering-from-scratch-zh or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 805). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-engineering-from-scratch-zh and awesome open source? Yes - both are open-source projects on GitHub (ai-engineering-from-scratch-zh: MIT, awesome: CC0-1.0). ### Where can I find alternatives to ai-engineering-from-scratch-zh or awesome? GraphCanon lists graph-backed alternatives at [ai-engineering-from-scratch-zh alternatives](/tools/fancyboi999-ai-engineering-from-scratch-zh/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([ai-engineering-from-scratch-zh markdown twin](/tools/fancyboi999-ai-engineering-from-scratch-zh/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/fancyboi999-ai-engineering-from-scratch-zh-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-engineering-from-scratch-zh or awesome? ai-engineering-from-scratch-zh: Active. awesome: 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 ai-engineering-from-scratch-zh and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-engineering-from-scratch-zh trust report](/tools/fancyboi999-ai-engineering-from-scratch-zh/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fancyboi999-ai-engineering-from-scratch-zh`](/api/graphcanon/graph?tool=fancyboi999-ai-engineering-from-scratch-zh) - 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/_