head to head · open source
ponytail vs ai-berkshire
ponytail has 182,779 GitHub stars, 10,094 forks, 270 open issues and last shipped 5 days ago. ai-berkshire has 16,986 stars, 2,491 forks, 38 open issues and last shipped 2 days ago. ponytail leads on adoption by 976% (182,779 vs 16,986 stars). ponytail is written in JavaScript under MIT; ai-berkshire is written in HTML under MIT. ponytail has attracted 6% as many forks as stars, ai-berkshire 15%. ai-berkshire was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (claude, claude-code), 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.
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Side by side
| ponytail | ai-berkshire | |
|---|---|---|
| GitHub stars | ★ 183K | ★ 17K |
| License | MIT | MIT |
| Written in | JavaScript | HTML |
| Last push | 2026-10-29 | 2026-11-01 |
| Forks | ⑂ 10K | ⑂ 2.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ponytail if
- You weight community size — 183K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick ai-berkshire if
- You want the ai-berkshire feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches HTML
- You evaluated both and ai-berkshire fits your workflow better
About ponytail
Ponytail He says nothing. He writes one line. It works. 54% less code (up to 94%) · 20% cheaper · 27% faster · 100% safe Measured on real Claude Code sessions editing a real open source repo (FastAPI + React), against the same agent with no skill. 54% is the mean across 12 feature tasks (Haiku 4.5, n=4); it reaches 94% where an agent over builds (a date picker) and is near zero where the code is already minimal. ponytail keeps every safety guard while a bare "write one liners" prompt drops one. (The earlier single shot benchmark reported 80 94% as a flat figure; against a fair agentic…
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About ai-berkshire
中文 English 日本語 AI Berkshire AI 时代的价值投资研究框架 "Price is what you pay, value is what you get." — Warren Buffett 用 AI 重新定义投资研究的深度与效率。 AI Berkshire 是一套同时兼容 Claude Code 与 Codex 的投资研究 Skill 合集，将巴菲特、芒格、段永平、李录四位价值投资大师的方法论系统化、结构化，通过 AI Agent 实现专业级投资研究。 一个人 + Claude Code / Codex = 一个投研团队。 📮 仓库是全量框架，公众号是精选。 真正值得深研的公司，加上报告之外我自己的判断与取舍，都在微信公众号「 复利炼丹炉 」——扫码关注 ↓ 📊 日更内容是研究报告，全部在 研究报告索引。 2346 份报告 · 110 家公司 · 23 个专题，按公司与专题分组，更新至 2026 09 12。 实盘业绩 · 为什么不能直接问AI · Skills 一览 · 快速开始 · 实战报告 · 研究索引 · 设计理念 · 公众号 Real Track Record 不是纸上谈兵。这套框架背后是真金白银验证的投资体系。 2024 全年收益：+69.29% 2025 全年收益：+66.38% 与主要指数对比 2024 年超额收益 ：跑赢标普500 46个百分点 ，跑赢恒生指数…
read the full ai-berkshire overview →
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Frequently asked questions
Is ponytail or ai-berkshire more popular?
ponytail has 182,779 GitHub stars and ai-berkshire has 16,986. ponytail has the larger community by that measure.
Are ponytail and ai-berkshire free?
Both are open source. ponytail is licensed under MIT and ai-berkshire under MIT. Neither carries a licence fee.
What is the difference between ponytail and ai-berkshire?
ponytail is written in JavaScript and ai-berkshire in HTML. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, ponytail or ai-berkshire?
Choose ponytail if you want the larger community (182,779 stars) or its MIT licence terms. Choose ai-berkshire if its feature set, stack or MIT licence fits better. Both are self-hostable.