head to head · open source

generative-ai-for-beginners vs streamlit

generative-ai-for-beginners has 121,201 GitHub stars, 63,869 forks, 23 open issues and last shipped 4 days ago. streamlit has 45,943 stars, 4,419 forks, 1,200 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 164% (121,201 vs 45,943 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; streamlit is written in Python under Apache-2.0. generative-ai-for-beginners has attracted 53% as many forks as stars, streamlit 10%. streamlit 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 streamlit ★ 46K category AI & Machine Learning

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Side by side

	generative-ai-for-beginners	streamlit
GitHub stars	★ 121K	★ 46K
License	MIT	Apache-2.0
Written in	Jupyter Notebook	Python
Last push	2026-10-08	2026-10-11
Forks	⑂ 64K	⑂ 4.4K
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 streamlit if

You want the streamlit feature set and don't need the biggest community
You prefer the Apache-2.0 license terms
Your stack matches Python
You evaluated both and streamlit fits your workflow better

full streamlit 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 streamlit

Streamlit is an open source Python framework for turning scripts into interactive web apps, aimed at data scientists, ML engineers, and analysts who need dashboards, reports, and chat interfaces without building front end code.

read the full streamlit overview →

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Frequently asked questions

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

generative-ai-for-beginners has 121,201 GitHub stars and streamlit has 45,943. generative-ai-for-beginners has the larger community by that measure.

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

Both are open source. generative-ai-for-beginners is licensed under MIT and streamlit under Apache-2.0. Neither carries a licence fee.

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

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

Choose generative-ai-for-beginners if you want the larger community (121,201 stars) or its MIT licence terms. Choose streamlit if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.