--- title: "NotFair vs ai-engineering-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nowork-studio-notfair-vs-rohitg00-ai-engineering-from-scratch" tools: ["nowork-studio-notfair", "rohitg00-ai-engineering-from-scratch"] --- # NotFair vs ai-engineering-from-scratch *GraphCanon updated Jul 11, 2026* ## Verdict Pick NotFair when notFair is primarily TypeScript; ai-engineering-from-scratch is Python; pick ai-engineering-from-scratch when ai-engineering-from-scratch is primarily Python; NotFair is TypeScript. [NotFair](https://notfair.co/) reports 3.1k GitHub stars, 377 forks, and 5 open issues, last pushed Jul 10, 2026. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) has 38k stars, 6.3k forks, and 96 open issues, last pushed Jun 25, 2026. Figures are from public GitHub metadata via [NotFair's repository](https://github.com/nowork-studio/NotFair) and [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch). | | [NotFair](/tools/nowork-studio-notfair.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Tagline | Open-source Claude Code skills for SEO, GEO, Google Ads, Meta Ads | Learn it. Build it. Ship it for others. | | Stars | 3,107 | 37,922 | | Forks | 377 | 6,329 | | Open issues | 5 | 96 | | Language | TypeScript | 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 | MIT | | Categories | Developer Tools | LLM Frameworks, AI Agents, Computer Vision, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [NotFair](/tools/nowork-studio-notfair.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 15d | | Open issues (now) | 5 | 96 | | Owner type | Organization | User | | Security scan | 7 low (7 low) | No MCP manifest | | Full report | [trust report](/tools/nowork-studio-notfair/trust.md) | [trust report](/tools/rohitg00-ai-engineering-from-scratch/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 NotFair if… - NotFair is primarily TypeScript; ai-engineering-from-scratch is Python. - Tags unique to NotFair: claude-skills, geo, googleads, googleadsmcp. - More recently updated (last pushed Jul 10, 2026). ### Choose ai-engineering-from-scratch if… - ai-engineering-from-scratch is primarily Python; NotFair is TypeScript. - 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 LLM Frameworks, AI Agents, Computer Vision. - When you want to start with foundational knowledge and learn the intricacies behind AI systems. ## When NOT to use NotFair - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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. ## Common questions ### What is the difference between NotFair and ai-engineering-from-scratch? NotFair: Open-source Claude Code skills for SEO, GEO, Google Ads, Meta Ads. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. See the comparison table for live GitHub stats and shared categories. ### When should I choose NotFair over ai-engineering-from-scratch? Choose NotFair over ai-engineering-from-scratch when NotFair is primarily TypeScript; ai-engineering-from-scratch is Python; Tags unique to NotFair: claude-skills, geo, googleads, googleadsmcp; More recently updated (last pushed Jul 10, 2026). ### When should I choose ai-engineering-from-scratch over NotFair? Choose ai-engineering-from-scratch over NotFair when ai-engineering-from-scratch is primarily Python; NotFair is TypeScript; 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 LLM Frameworks, AI Agents, Computer Vision; When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### When should I avoid NotFair? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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. ### Is NotFair or ai-engineering-from-scratch more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (37,922 vs 3,107). Stars measure visibility, not whether either tool fits your constraints. ### Are NotFair and ai-engineering-from-scratch open source? Yes - both are open-source projects on GitHub (NotFair: MIT, ai-engineering-from-scratch: MIT). ### Where can I find alternatives to NotFair or ai-engineering-from-scratch? GraphCanon lists graph-backed alternatives at [NotFair alternatives](/tools/nowork-studio-notfair/alternatives) and [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) ([NotFair markdown twin](/tools/nowork-studio-notfair/alternatives.md), [ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/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/nowork-studio-notfair-vs-rohitg00-ai-engineering-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, NotFair or ai-engineering-from-scratch? NotFair: Very active. ai-engineering-from-scratch: 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 NotFair and ai-engineering-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [NotFair trust report](/tools/nowork-studio-notfair/trust); [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nowork-studio-notfair`](/api/graphcanon/graph?tool=nowork-studio-notfair) - 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/_