head to head · open source
generative-ai-for-beginners vs tick-stock-panel
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. tick-stock-panel has 4,785 stars, 1,185 forks, 25 open issues and last shipped today. generative-ai-for-beginners leads on adoption by 2,407% (119,980 vs 4,785 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; tick-stock-panel is written in Python under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, tick-stock-panel 25%. tick-stock-panel 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 | tick-stock-panel | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 4.8K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-09-17 | 2026-09-18 |
| Forks | ⑂ 63K | ⑂ 1.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 120K 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 tick-stock-panel if
- You want the tick-stock-panel feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and tick-stock-panel fits your workflow better
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 tick-stock-panel
tick stock panel (TSP) is a self hosted, zero ops quantitative workbench for China A shares that unifies stock screening, monitoring and backtesting in a single Docker container, built for individual quant researchers and developers who want their market data and strategies to stay on their own machine.
read the full tick-stock-panel overview →
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Frequently asked questions
Is generative-ai-for-beginners or tick-stock-panel more popular?
generative-ai-for-beginners has 119,980 GitHub stars and tick-stock-panel has 4,785. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and tick-stock-panel free?
Both are open source. generative-ai-for-beginners is licensed under MIT and tick-stock-panel under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and tick-stock-panel?
generative-ai-for-beginners is written in Jupyter Notebook and tick-stock-panel 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 tick-stock-panel?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose tick-stock-panel if its feature set, stack or MIT licence fits better. Both are self-hostable.