head to head · open source
ponytail vs PaddleOCR
ponytail has 182,779 GitHub stars, 10,094 forks, 270 open issues and last shipped 5 days ago. PaddleOCR has 92,143 stars, 11,613 forks, 243 open issues and last shipped 2 months ago. ponytail leads on adoption by 98% (182,779 vs 92,143 stars). ponytail is written in JavaScript under MIT; PaddleOCR is written in Python under Apache-2.0. ponytail has attracted 6% as many forks as stars, PaddleOCR 13%. ponytail 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
| ponytail | PaddleOCR | |
|---|---|---|
| GitHub stars | ★ 183K | ★ 92K |
| License | MIT | Apache-2.0 |
| Written in | JavaScript | Python |
| Last push | 2026-10-29 | 2026-09-16 |
| Forks | ⑂ 10K | ⑂ 12K |
| 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 PaddleOCR if
- You want the PaddleOCR 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 PaddleOCR 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 PaddleOCR
Global Leading OCR Toolkit & Document AI Engine English 简体中文 繁體中文 日本語 한국어 Français Русский Español العربية PaddleOCR converts PDF documents and images into structured, LLM ready data (JSON/Markdown) with industry leading accuracy. With 70k+ Stars and trusted by top tier projects like Dify, RAGFlow, and Cherry Studio, PaddleOCR is the bedrock for building intelligent RAG and Agentic applications. 🚀 Key Features 📄 Intelligent Document Parsing (LLM Ready) Transforming messy visuals into structured data for the LLM era. SOTA Document VLM : Featuring PaddleOCR VL 1.6 (0.9B) , the industry's leading lightweight…
read the full PaddleOCR overview →
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Frequently asked questions
Is ponytail or PaddleOCR more popular?
ponytail has 182,779 GitHub stars and PaddleOCR has 92,143. ponytail has the larger community by that measure.
Are ponytail and PaddleOCR free?
Both are open source. ponytail is licensed under MIT and PaddleOCR under Apache-2.0. Neither carries a licence fee.
What is the difference between ponytail and PaddleOCR?
ponytail is written in JavaScript and PaddleOCR 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 PaddleOCR?
Choose ponytail if you want the larger community (182,779 stars) or its MIT licence terms. Choose PaddleOCR if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.