head to head · open source
generative-ai-for-beginners vs apm
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. apm has 3,838 stars, 361 forks, 215 open issues and last shipped today. generative-ai-for-beginners leads on adoption by 3,026% (119,980 vs 3,838 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; apm is written in Python under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, apm 9%. apm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (prompt-engineering), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| generative-ai-for-beginners | apm | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 3.8K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-09-17 | 2026-09-18 |
| Forks | ⑂ 63K | ⑂ 361 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 120K stars and counting
- You want the MIT license terms
- Your stack matches Jupyter Notebook
- You value the larger contributor base for long-term maintenance
pick apm if
- You want the apm feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and apm fits your workflow better
About generative-ai-for-beginners
Generative AI for Beginners is Microsoft's free, MIT licensed curriculum of 21 Jupyter Notebook lessons that teaches developers how to start building generative AI applications, aimed at newcomers who want a structured, self paced path instead of scattered documentation.
read the full generative-ai-for-beginners overview →
About apm
APM – Agent Package Manager An open source, community driven dependency manager for AI agents. Think package.json , requirements.txt , or Cargo.toml — but for AI agent configuration. GitHub Copilot Claude Code Grok Build Cursor OpenCode Codex Gemini Windsurf Kiro Documentation · Quick Start · CLI Reference · Roadmap Portable by manifest. Secure by default. Governed by policy. One file describes every agent's context; one command reproduces it everywhere; one policy controls what an org will allow. Why APM AI coding agents need context to be useful — standards, prompts, skills, plugins — but today every developer …
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Frequently asked questions
Is generative-ai-for-beginners or apm more popular?
generative-ai-for-beginners has 119,980 GitHub stars and apm has 3,838. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and apm free?
Both are open source. generative-ai-for-beginners is licensed under MIT and apm under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and apm?
generative-ai-for-beginners is written in Jupyter Notebook and apm in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, generative-ai-for-beginners or apm?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose apm if its feature set, stack or MIT licence fits better. Both are self-hostable.