head to head · open source

generative-ai-for-beginners vs dsh-Go

generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. dsh-Go has 6,128 stars, 307 forks, 266 open issues and last shipped today. generative-ai-for-beginners leads on adoption by 1,905% (122,853 vs 6,128 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; dsh-Go is written in Dart under AGPL-3.0. generative-ai-for-beginners has attracted 54% as many forks as stars, dsh-Go 5%. dsh-Go 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.

generative-ai-for-beginners ★ 123K dsh-Go ★ 6.1K category AI & Machine Learning

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Side by side

generative-ai-for-beginners dsh-Go
GitHub stars ★ 123K ★ 6.1K
License MIT AGPL-3.0
Written in Jupyter Notebook Dart
Last push 2026-11-02 2026-11-03
Forks ⑂ 66K ⑂ 307
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 dsh-Go if

  • You want the dsh-Go feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Dart
  • You evaluated both and dsh-Go fits your workflow better

full dsh-Go 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…

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About dsh-Go

简体中文 · English DeepSeek Harness 的 Android 客户端。手机上直接跑,也能遥控你电脑上的 DSH。 Deepy 和鲸娘,陪你干活 干活时敲代码,做完来个空翻,等你确认会举手。打开「App 外显示」,它们还会跟你到桌面。 下载 DSH Go 从 GitHub Releases 或官网下载页获取最新版 APK,常见手机选 arm64 包。   感谢大家对 DSH Go 的支持和喜爱,我将尽快适配 iOS 和鸿蒙!大家 Star 点得越多,我适配得越快哦 hhh 第一次用可以先看 使用指南 ,遇到问题欢迎来 论坛和 QQ 群 。 手机上装过签名不同的早期测试包时不能直接覆盖安装,需要先卸载旧版;卸载会清空对话、Linux 环境和设置。 本机运行,也能遥控电脑 内置 Linux 环境,免 Root、免 Termux。电脑上的 DSH,也能一键切过去接着用。 插话、打断,过程自动收好 回复中途也能插话,排队的消息随时「立即发送」。做完的过程折叠成一行。 原生界面,也有网页版 和官方网页版一键切换,停在同一段对话,下次打开还是你上次用的那个。 分享卡、对话回放和链接 回复一键做成分享卡。整段对话生成链接,对方在浏览器里回放,链接端到端加密。 横屏与平板 横屏手机和平板重新排版:侧栏常驻,内容居中,弹出键盘也不挤。 主题配色与桌面图标

read the full dsh-Go overview →

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Frequently asked questions

Is generative-ai-for-beginners or dsh-Go more popular?

generative-ai-for-beginners has 122,853 GitHub stars and dsh-Go has 6,128. generative-ai-for-beginners has the larger community by that measure.

Are generative-ai-for-beginners and dsh-Go free?

Both are open source. generative-ai-for-beginners is licensed under MIT and dsh-Go under AGPL-3.0. Neither carries a licence fee.

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

generative-ai-for-beginners is written in Jupyter Notebook and dsh-Go in Dart. 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 dsh-Go?

Choose generative-ai-for-beginners if you want the larger community (122,853 stars) or its MIT licence terms. Choose dsh-Go if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.