head to head · open source
generative-ai-for-beginners vs a-stock-data
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. a-stock-data has 11,416 stars, 2,062 forks, 5 open issues and last shipped 4 days ago. generative-ai-for-beginners leads on adoption by 976% (122,853 vs 11,416 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; a-stock-data is written in Python under Apache-2.0. generative-ai-for-beginners has attracted 54% as many forks as stars, a-stock-data 18%. generative-ai-for-beginners 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 | a-stock-data | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 11K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 66K | ⑂ 2.1K |
| 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 a-stock-data if
- You want the a-stock-data 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 a-stock-data 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…
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About a-stock-data
简体中文 English a stock data A 股全栈数据工具包 — 12 层架构 · 60 个端点 · 22 个数据源 · 零鉴权 架构 · 快速开始 · 端点清单 · 使用示例 · FAQ · 更新日志 一个自包含的 Skill 文件，把分散在 22 个数据源里的 A 股原始数据整合成 AI 编程助手直接能用的工具集。你不用再背 mootdx 的 K 线参数、东财的 PDF Referer 头、iwencai 的 X Claw 鉴权——全部封装好了。主源被封还有「备用源速查」可降级。 兼容 Claude Code · Codex · OpenClaw Skill 文件本质是结构化 Markdown + 内嵌 Python，任何支持上下文注入的 AI 编程助手都能用。 架构 十二层之外另附 备用源速查 & 降级策略 ：龙虎榜/资金流/公告备胎，以及沪深官方两融、北交所当前行情与五档备胎。使用范围和真实数据日期见 SKILL.md 对应章节。 快速开始 3 步，2 分钟。 启动 Claude Code，说一句「帮我看看 688017 的估值」，自动激活。 Codex / OpenClaw 用户： 把 SKILL.md 的内容贴入你的系统 prompt 或项目上下文文件即可，内嵌的 Python 代码可直接执行。 60 个端点能力清单 共 55 个主入口、5
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Frequently asked questions
Is generative-ai-for-beginners or a-stock-data more popular?
generative-ai-for-beginners has 122,853 GitHub stars and a-stock-data has 11,416. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and a-stock-data free?
Both are open source. generative-ai-for-beginners is licensed under MIT and a-stock-data under Apache-2.0. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and a-stock-data?
generative-ai-for-beginners is written in Jupyter Notebook and a-stock-data 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 a-stock-data?
Choose generative-ai-for-beginners if you want the larger community (122,853 stars) or its MIT licence terms. Choose a-stock-data if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.