head to head · open source
generative-ai-for-beginners vs edsl
generative-ai-for-beginners has 123,412 GitHub stars, 66,335 forks, 23 open issues and last shipped yesterday. edsl has 519 stars, 91 forks, 62 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 23,679% (123,412 vs 519 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 54% as many forks as stars, edsl 18%. 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.
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Side by side
| generative-ai-for-beginners | edsl | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 519 |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-11-12 | 2026-11-12 |
| Forks | ⑂ 66K | ⑂ 91 |
| 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
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
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 edsl
Expected Parrot Domain Specific Language (EDSL) EDSL makes it easy to conduct computational social science and market research with AI. Use it to design and run surveys and experiments with many AI agents and large language models at once, or to perform complex data labeling and other research tasks. Results are formatted as specified datasets that can be replicated at no cost, and come with built in methods for analysis, visualization and collaboration. Getting started 1. Run pip install edsl to install the package. See instructions . 2. Create an account to run surveys at the Expected Parrot server and access…
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Frequently asked questions
Is generative-ai-for-beginners or edsl more popular?
generative-ai-for-beginners has 123,412 GitHub stars and edsl has 519. 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 (123,412 stars) or its MIT licence terms. Choose edsl if its feature set, stack or MIT licence fits better. Both are self-hostable.