--- title: "ai-engineering-from-scratch vs graph-of-thoughts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/rohitg00-ai-engineering-from-scratch-vs-spcl-graph-of-thoughts" tools: ["rohitg00-ai-engineering-from-scratch", "spcl-graph-of-thoughts"] --- # ai-engineering-from-scratch vs graph-of-thoughts *GraphCanon updated Jul 11, 2026* ## Verdict Pick ai-engineering-from-scratch when license: ai-engineering-from-scratch is MIT, graph-of-thoughts is Other; pick graph-of-thoughts when license: graph-of-thoughts is Other, ai-engineering-from-scratch is MIT. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) reports 38k GitHub stars, 6.3k forks, and 96 open issues, last pushed Jun 25, 2026. [graph-of-thoughts](https://arxiv.org/pdf/2308.09687.pdf) has 2.8k stars, 217 forks, and 7 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch) and [graph-of-thoughts's repository](https://github.com/spcl/graph-of-thoughts). | | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | [graph-of-thoughts](/tools/spcl-graph-of-thoughts.md) | | --- | --- | --- | | Tagline | Learn it. Build it. Ship it for others. | Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models" | | Stars | 37,922 | 2,816 | | Forks | 6,329 | 217 | | Open issues | 96 | 7 | | Language | Python | Python | | 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 | Other | | Categories | AI Agents, Computer Vision, Developer Tools, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | [graph-of-thoughts](/tools/spcl-graph-of-thoughts.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 15d | 108d | | Open issues (now) | 96 | 7 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | [trust report](/tools/spcl-graph-of-thoughts/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… - License: ai-engineering-from-scratch is MIT, graph-of-thoughts is Other. - 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: agents, ai-engineering, computer-vision, deep-learning. - Also covers AI Agents, Computer Vision, Developer Tools. - When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### Choose graph-of-thoughts if… - License: graph-of-thoughts is Other, ai-engineering-from-scratch is MIT. - Tags unique to graph-of-thoughts: graph-of-thoughts, graph-structures, graphs, large language models. - Leaner open-issue backlog (7). ## 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 graph-of-thoughts - Last GitHub push was 109 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on graph-of-thoughts. - 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 graph-of-thoughts? ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. graph-of-thoughts: Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models". See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-engineering-from-scratch over graph-of-thoughts? Choose ai-engineering-from-scratch over graph-of-thoughts when License: ai-engineering-from-scratch is MIT, graph-of-thoughts is Other; 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: agents, ai-engineering, computer-vision, deep-learning; Also covers AI Agents, Computer Vision, Developer Tools; When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### When should I choose graph-of-thoughts over ai-engineering-from-scratch? Choose graph-of-thoughts over ai-engineering-from-scratch when License: graph-of-thoughts is Other, ai-engineering-from-scratch is MIT; Tags unique to graph-of-thoughts: graph-of-thoughts, graph-structures, graphs, large language models; Leaner open-issue backlog (7). ### 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 graph-of-thoughts? Last GitHub push was 109 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on graph-of-thoughts. 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 graph-of-thoughts more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (37,922 vs 2,816). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-engineering-from-scratch and graph-of-thoughts open source? Yes - both are open-source projects on GitHub (ai-engineering-from-scratch: MIT, graph-of-thoughts: Other). ### Where can I find alternatives to ai-engineering-from-scratch or graph-of-thoughts? GraphCanon lists graph-backed alternatives at [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) and [graph-of-thoughts alternatives](/tools/spcl-graph-of-thoughts/alternatives) ([ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/alternatives.md), [graph-of-thoughts markdown twin](/tools/spcl-graph-of-thoughts/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-spcl-graph-of-thoughts.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 graph-of-thoughts? ai-engineering-from-scratch: Active. graph-of-thoughts: 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 graph-of-thoughts? 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); [graph-of-thoughts trust report](/tools/spcl-graph-of-thoughts/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/_