--- title: "AI-For-Beginners vs awesome-list-of-awesomes" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-ai-for-beginners-vs-nachimak28-awesome-list-of-awesomes" tools: ["microsoft-ai-for-beginners", "nachimak28-awesome-list-of-awesomes"] --- # AI-For-Beginners vs awesome-list-of-awesomes *GraphCanon updated Jul 11, 2026* ## Verdict Pick AI-For-Beginners when tags unique to AI-For-Beginners: microsoft-for-beginners, artificial-intelligence, cnn, gan; pick awesome-list-of-awesomes when tags unique to awesome-list-of-awesomes: data-science, dl, cv, distributed systems. [AI-For-Beginners](https://github.com/microsoft/AI-For-Beginners) reports 52k GitHub stars, 11k forks, and 4 open issues, last pushed Jul 8, 2026. [awesome-list-of-awesomes](https://github.com/Nachimak28/awesome-list-of-awesomes) has 345 stars, 48 forks, and 1 open issues, last pushed Nov 13, 2023. Figures are from public GitHub metadata via [AI-For-Beginners's repository](https://github.com/microsoft/AI-For-Beginners) and [awesome-list-of-awesomes's repository](https://github.com/Nachimak28/awesome-list-of-awesomes). | | [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) | [awesome-list-of-awesomes](/tools/nachimak28-awesome-list-of-awesomes.md) | | --- | --- | --- | | Tagline | 12 Weeks, 24 Lessons, AI for All! | A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL. | | Stars | 52,098 | 345 | | Forks | 10,536 | 48 | | Open issues | 4 | 1 | | Language | Jupyter Notebook | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Vector Databases, Model Training, Computer Vision | Model Training, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) | [awesome-list-of-awesomes](/tools/nachimak28-awesome-list-of-awesomes.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 2d | 971d | | Open issues (now) | 4 | 1 | | Owner type | Organization | User | | Security scan | 3 low (3 low) | No lockfile | | Full report | [trust report](/tools/microsoft-ai-for-beginners/trust.md) | [trust report](/tools/nachimak28-awesome-list-of-awesomes/trust.md) | ## Choose when ### Choose AI-For-Beginners if… - Tags unique to AI-For-Beginners: microsoft-for-beginners, artificial-intelligence, cnn, gan. - Also covers Vector Databases. - More GitHub stars (52k vs 345) - visibility, not fit. ### Choose awesome-list-of-awesomes if… - Tags unique to awesome-list-of-awesomes: data-science, dl, cv, distributed systems. - Leaner open-issue backlog (1). ## When NOT to use AI-For-Beginners - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use awesome-list-of-awesomes - Last GitHub push was 972 days ago (dormant maintenance, Nov 13, 2023). Validate activity before betting a new project on awesome-list-of-awesomes. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between AI-For-Beginners and awesome-list-of-awesomes? AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!. awesome-list-of-awesomes: A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AI-For-Beginners over awesome-list-of-awesomes? Choose AI-For-Beginners over awesome-list-of-awesomes when Tags unique to AI-For-Beginners: microsoft-for-beginners, artificial-intelligence, cnn, gan; Also covers Vector Databases; More GitHub stars (52k vs 345) - visibility, not fit. ### When should I choose awesome-list-of-awesomes over AI-For-Beginners? Choose awesome-list-of-awesomes over AI-For-Beginners when Tags unique to awesome-list-of-awesomes: data-science, dl, cv, distributed systems; Leaner open-issue backlog (1). ### When should I avoid AI-For-Beginners? Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid awesome-list-of-awesomes? Last GitHub push was 972 days ago (dormant maintenance, Nov 13, 2023). Validate activity before betting a new project on awesome-list-of-awesomes. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is AI-For-Beginners or awesome-list-of-awesomes more popular on GitHub? AI-For-Beginners has more GitHub stars (52,098 vs 345). Stars measure visibility, not whether either tool fits your constraints. ### Are AI-For-Beginners and awesome-list-of-awesomes open source? Yes - both are open-source projects on GitHub (AI-For-Beginners: MIT, awesome-list-of-awesomes: MIT). ### Where can I find alternatives to AI-For-Beginners or awesome-list-of-awesomes? GraphCanon lists graph-backed alternatives at [AI-For-Beginners alternatives](/tools/microsoft-ai-for-beginners/alternatives) and [awesome-list-of-awesomes alternatives](/tools/nachimak28-awesome-list-of-awesomes/alternatives) ([AI-For-Beginners markdown twin](/tools/microsoft-ai-for-beginners/alternatives.md), [awesome-list-of-awesomes markdown twin](/tools/nachimak28-awesome-list-of-awesomes/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/microsoft-ai-for-beginners-vs-nachimak28-awesome-list-of-awesomes.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AI-For-Beginners or awesome-list-of-awesomes? AI-For-Beginners: Very active. awesome-list-of-awesomes: Dormant. 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-For-Beginners and awesome-list-of-awesomes? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AI-For-Beginners trust report](/tools/microsoft-ai-for-beginners/trust); [awesome-list-of-awesomes trust report](/tools/nachimak28-awesome-list-of-awesomes/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-ai-for-beginners`](/api/graphcanon/graph?tool=microsoft-ai-for-beginners) - 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/_