head to head · open source
ponytail vs distilly
ponytail has 182,779 GitHub stars, 10,094 forks, 270 open issues and last shipped 5 days ago. distilly has 26,310 stars, 2,243 forks, 37 open issues and last shipped 21 days ago. ponytail leads on adoption by 595% (182,779 vs 26,310 stars). ponytail is written in JavaScript under MIT; distilly is written in Python under MIT. ponytail has attracted 6% as many forks as stars, distilly 9%. ponytail was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agent-skills, ai-agents, 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 | distilly | |
|---|---|---|
| GitHub stars | ★ 183K | ★ 26K |
| License | MIT | MIT |
| Written in | JavaScript | Python |
| Last push | 2026-10-29 | 2026-10-13 |
| Forks | ⑂ 10K | ⑂ 2.2K |
| 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 distilly if
- You want the distilly feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and distilly 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…
read the full ponytail overview →
About distilly
🧬 Distilly Formerly: Colleague Skill / colleague skill. Distill a person's experience, judgment, voice, and ways of working into a reusable Person Profile for AI agents and compatible bots. Messages · documents · interviews · public sources → Distilly → Person Profile → Agent / Bot 🧑💼 Your colleague quit, your mentor graduated, your teammate transferred — taking their whole playbook and context with them? 💞 Your family, old friends, partner drifting apart — and you want to hold on to the way it felt to be with them? 🌟 Your favorite author, idol, thinker you'll never meet — but you want to know what they'd…
read the full distilly overview →
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Frequently asked questions
Is ponytail or distilly more popular?
ponytail has 182,779 GitHub stars and distilly has 26,310. ponytail has the larger community by that measure.
Are ponytail and distilly free?
Both are open source. ponytail is licensed under MIT and distilly under MIT. Neither carries a licence fee.
What is the difference between ponytail and distilly?
ponytail is written in JavaScript and distilly 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, ponytail or distilly?
Choose ponytail if you want the larger community (182,779 stars) or its MIT licence terms. Choose distilly if its feature set, stack or MIT licence fits better. Both are self-hostable.