head to head · open source

generative-ai-for-beginners vs qwen-code

generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. qwen-code has 28,894 stars, 3,298 forks, 1,422 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 325% (122,853 vs 28,894 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; qwen-code is written in TypeScript under Apache-2.0. generative-ai-for-beginners has attracted 54% as many forks as stars, qwen-code 11%. qwen-code 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 qwen-code ★ 29K category AI & Machine Learning

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Side by side

generative-ai-for-beginners qwen-code
GitHub stars ★ 123K ★ 29K
License MIT Apache-2.0
Written in Jupyter Notebook TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 66K ⑂ 3.3K
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 qwen-code if

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

full qwen-code 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 qwen-code

The open source AI coding agent for your terminal, editor, desktop, browser, and chat. 中文 Deutsch français 日本語 Русский Português (Brasil) 한국어 Why Qwen Code? Agentic out of the box — Auto Memory, Auto Skills, SubAgents, Agent Teams, and MCP. Dynamic workflows, zero setup. Open source, inside and out — The framework and the Qwen models are open source. They evolve together. No vendor lock in. Multi protocol — Supports OpenAI, Anthropic, Gemini, and Qwen APIs. Any third party provider or local model (Ollama / vLLM). Switch at runtime. Beyond the terminal — IDE plugins, Desktop app, Web UI, SDKs, and chat…

read the full qwen-code overview →

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Frequently asked questions

Is generative-ai-for-beginners or qwen-code more popular?

generative-ai-for-beginners has 122,853 GitHub stars and qwen-code has 28,894. generative-ai-for-beginners has the larger community by that measure.

Are generative-ai-for-beginners and qwen-code free?

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

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

generative-ai-for-beginners is written in Jupyter Notebook and qwen-code in TypeScript. 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 qwen-code?

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