head to head · open source

generative-ai-for-beginners vs edsl

generative-ai-for-beginners has 120,698 GitHub stars, 63,477 forks, 23 open issues and last shipped 4 days ago. edsl has 502 stars, 85 forks, 62 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 23,943% (120,698 vs 502 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; edsl is written in Python under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, edsl 17%. edsl was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

generative-ai-for-beginners ★ 121K edsl ★ 502 category AI & Machine Learning

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Side by side

	generative-ai-for-beginners	edsl
GitHub stars	★ 121K	★ 502
License	MIT	MIT
Written in	Jupyter Notebook	Python
Last push	2026-09-24	2026-09-27
Forks	⑂ 63K	⑂ 85
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick generative-ai-for-beginners if

You weight community size — 121K stars and counting
You want the MIT license terms
Your stack matches Jupyter Notebook
You value the larger contributor base for long-term maintenance

full generative-ai-for-beginners profile →

pick edsl if

You want the edsl feature set and don't need the biggest community
You prefer the MIT license terms
Your stack matches Python
You evaluated both and edsl fits your workflow better

full edsl profile →

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 edsl

EDSL is a Python domain specific language for designing, running and analysing AI powered surveys and experiments with many agents and language models at once, aimed at computational social scientists, market researchers and teams doing LLM based data labelling.

read the full edsl overview →

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Frequently asked questions

Is generative-ai-for-beginners or edsl more popular?

generative-ai-for-beginners has 120,698 GitHub stars and edsl has 502. generative-ai-for-beginners has the larger community by that measure.

Are generative-ai-for-beginners and edsl free?

Both are open source. generative-ai-for-beginners is licensed under MIT and edsl under MIT. Neither carries a licence fee.

What is the difference between generative-ai-for-beginners and edsl?

generative-ai-for-beginners is written in Jupyter Notebook and edsl 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 edsl?

Choose generative-ai-for-beginners if you want the larger community (120,698 stars) or its MIT licence terms. Choose edsl if its feature set, stack or MIT licence fits better. Both are self-hostable.