head to head · open source
ponytail vs gepa
ponytail has 186,314 GitHub stars, 10,314 forks, 270 open issues and last shipped 10 days ago. gepa has 7,329 stars, 611 forks, 154 open issues and last shipped yesterday. ponytail leads on adoption by 2,442% (186,314 vs 7,329 stars). ponytail is written in JavaScript under MIT; gepa is written in Jupyter Notebook under MIT. ponytail has attracted 6% as many forks as stars, gepa 8%. gepa was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agent-skills), 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 | gepa | |
|---|---|---|
| GitHub stars | ★ 186K | ★ 7.3K |
| License | MIT | MIT |
| Written in | JavaScript | Jupyter Notebook |
| Last push | 2026-10-29 | 2026-11-07 |
| Forks | ⑂ 10K | ⑂ 611 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ponytail if
- You weight community size — 186K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick gepa if
- You want the gepa feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Jupyter Notebook
- You evaluated both and gepa 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 gepa
Optimize any text parameter — prompts, code, agent architectures, configurations — using LLM based reflection and Pareto efficient evolutionary search. Website     Quick Start     Paper     Blog     Discord What is GEPA? GEPA (Genetic Pareto) is a framework for optimizing any system with textual parameters against any evaluation metric. Unlike RL or gradient based methods that collapse execution traces into a single scalar reward, GEPA uses LLMs to read full execution traces — error messages, profiling data, reasoning logs — to diagnose why a candidate failed and propose…
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Frequently asked questions
Is ponytail or gepa more popular?
ponytail has 186,314 GitHub stars and gepa has 7,329. ponytail has the larger community by that measure.
Are ponytail and gepa free?
Both are open source. ponytail is licensed under MIT and gepa under MIT. Neither carries a licence fee.
What is the difference between ponytail and gepa?
ponytail is written in JavaScript and gepa in Jupyter Notebook. 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 gepa?
Choose ponytail if you want the larger community (186,314 stars) or its MIT licence terms. Choose gepa if its feature set, stack or MIT licence fits better. Both are self-hostable.