--- title: "ai-engineering-from-scratch vs ai-notes" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/rohitg00-ai-engineering-from-scratch-vs-swyxio-ai-notes" tools: ["rohitg00-ai-engineering-from-scratch", "swyxio-ai-notes"] --- # ai-engineering-from-scratch vs ai-notes *GraphCanon updated Jul 11, 2026* ## Verdict Pick ai-engineering-from-scratch when ai-engineering-from-scratch is primarily Python; ai-notes is HTML; pick ai-notes when ai-notes is primarily HTML; ai-engineering-from-scratch is Python. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) reports 38k GitHub stars, 6.3k forks, and 96 open issues, last pushed Jun 25, 2026. [ai-notes](https://latent.space/) has 6.2k stars, 558 forks, and 8 open issues, last pushed Feb 16, 2026. Figures are from public GitHub metadata via [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch) and [ai-notes's repository](https://github.com/swyxio/ai-notes). | | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | [ai-notes](/tools/swyxio-ai-notes.md) | | --- | --- | --- | | Tagline | Learn it. Build it. Ship it for others. | notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under | | Stars | 37,922 | 6,236 | | Forks | 6,329 | 558 | | Open issues | 96 | 8 | | Language | Python | HTML | | Adopt for | Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | LLM Frameworks, AI Agents, Computer Vision, Developer Tools | LLM Frameworks, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | [ai-notes](/tools/swyxio-ai-notes.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 15d | 145d | | Open issues (now) | 96 | 8 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | [trust report](/tools/swyxio-ai-notes/trust.md) | ## Decision facts: ai-engineering-from-scratch - **Pricing:** freemium - The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up - **Adopt for:** Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. ## Choose when ### Choose ai-engineering-from-scratch if… - ai-engineering-from-scratch is primarily Python; ai-notes is HTML. - Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up. - Tags unique to ai-engineering-from-scratch: deep-learning, ai-engineering, agents, llm. - Also covers AI Agents, Developer Tools. - When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### Choose ai-notes if… - ai-notes is primarily HTML; ai-engineering-from-scratch is Python. - Tags unique to ai-notes: gpt-3, html, ai, stable-diffusion. - Leaner open-issue backlog (8). ## When NOT to use ai-engineering-from-scratch - If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. - When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ## When NOT to use ai-notes - Last GitHub push was 146 days ago (slowing maintenance, Feb 16, 2026). Validate activity before betting a new project on ai-notes. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between ai-engineering-from-scratch and ai-notes? ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. ai-notes: notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under . See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-engineering-from-scratch over ai-notes? Choose ai-engineering-from-scratch over ai-notes when ai-engineering-from-scratch is primarily Python; ai-notes is HTML; Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: deep-learning, ai-engineering, agents, llm; Also covers AI Agents, Developer Tools; When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### When should I choose ai-notes over ai-engineering-from-scratch? Choose ai-notes over ai-engineering-from-scratch when ai-notes is primarily HTML; ai-engineering-from-scratch is Python; Tags unique to ai-notes: gpt-3, html, ai, stable-diffusion; Leaner open-issue backlog (8). ### When should I avoid ai-engineering-from-scratch? If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ### When should I avoid ai-notes? Last GitHub push was 146 days ago (slowing maintenance, Feb 16, 2026). Validate activity before betting a new project on ai-notes. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is ai-engineering-from-scratch or ai-notes more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (37,922 vs 6,236). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-engineering-from-scratch and ai-notes open source? Yes - both are open-source projects on GitHub (ai-engineering-from-scratch: MIT, ai-notes: MIT). ### Where can I find alternatives to ai-engineering-from-scratch or ai-notes? GraphCanon lists graph-backed alternatives at [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) and [ai-notes alternatives](/tools/swyxio-ai-notes/alternatives) ([ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/alternatives.md), [ai-notes markdown twin](/tools/swyxio-ai-notes/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/rohitg00-ai-engineering-from-scratch-vs-swyxio-ai-notes.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 or ai-notes? ai-engineering-from-scratch: Active. ai-notes: Slowing. 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 and ai-notes? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust); [ai-notes trust report](/tools/swyxio-ai-notes/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=rohitg00-ai-engineering-from-scratch`](/api/graphcanon/graph?tool=rohitg00-ai-engineering-from-scratch) - 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/_