head to head · open source

generative-ai-for-beginners vs Foundry

generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. Foundry has 893 stars, 136 forks, 5 open issues and last shipped 7 days ago. generative-ai-for-beginners leads on adoption by 13,657% (122,853 vs 893 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; Foundry is written in Python under Apache-2.0. generative-ai-for-beginners has attracted 54% as many forks as stars, Foundry 15%. generative-ai-for-beginners was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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.

generative-ai-for-beginners ★ 123K Foundry ★ 893 category AI & Machine Learning

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Side by side

generative-ai-for-beginners Foundry
GitHub stars ★ 123K ★ 893
License MIT Apache-2.0
Written in Jupyter Notebook Python
Last push 2026-11-02 2026-10-27
Forks ⑂ 66K ⑂ 136
Self-hosting Yes Yes
Data ownership Your server Your server

pick generative-ai-for-beginners if

  • You weight community size — 123K 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 Foundry if

  • You want the Foundry 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 Foundry fits your workflow better

full Foundry profile →

About generative-ai-for-beginners

21 Lessons teaching everything you need to know to start building Generative AI applications 🌐 Multi Language Support Supported via GitHub Action (Automated & Always Up to Date) Arabic Bengali Bulgarian Burmese (Myanmar) Chinese (Simplified) Chinese (Traditional, Hong Kong) Chinese (Traditional, Macau) Chinese (Traditional, Taiwan) Croatian Czech Danish Dutch Estonian Finnish French German Greek Hebrew Hindi Hungarian Indonesian Italian Japanese Kannada Khmer Korean Lithuanian Malay Malayalam Marathi Nepali Nigerian Pidgin Norwegian Persian (Farsi) Polish Portuguese (Brazil) Portuguese (Portugal) Punjabi…

read the full generative-ai-for-beginners overview →

About Foundry

Promptise Foundry The first full stack Agentic Engineering framework. Build agents and the tools they use. Design how they reason. Run them as autonomous, governed systems. Ship them to real customers — multi tenant, secure, and observable. One framework, not a dozen libraries. Website · Documentation · Quick Start · Blog · Discussions What Promptise is Promptise is one framework for the whole job of building with AI agents — the agents, the tools they use, the reasoning behind them, the runtime that keeps them running, and the security and governance to put them in front of customers. Not a single feature, but…

read the full Foundry overview →

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Frequently asked questions

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

generative-ai-for-beginners has 122,853 GitHub stars and Foundry has 893. generative-ai-for-beginners has the larger community by that measure.

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

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

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

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

Choose generative-ai-for-beginners if you want the larger community (122,853 stars) or its MIT licence terms. Choose Foundry if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.