head to head · open source

PaddleOCR vs claude-skills

PaddleOCR has 92,231 GitHub stars, 11,616 forks, 243 open issues and last shipped 2 months ago. claude-skills has 29,256 stars, 4,059 forks, 17 open issues and last shipped 2 days ago. PaddleOCR leads on adoption by 215% (92,231 vs 29,256 stars). PaddleOCR is written in Python under Apache-2.0; claude-skills is written in Python under MIT. PaddleOCR has attracted 13% as many forks as stars, claude-skills 14%. claude-skills 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.

PaddleOCR ★ 92K claude-skills ★ 29K category AI & Machine Learning

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Side by side

PaddleOCR claude-skills
GitHub stars ★ 92K ★ 29K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-11-03
Forks ⑂ 12K ⑂ 4.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick PaddleOCR if

  • You weight community size — 92K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full PaddleOCR profile →

pick claude-skills if

  • You want the claude-skills feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and claude-skills fits your workflow better

full claude-skills profile →

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 →

About claude-skills

Claude Code Skills & Plugins — Agent Skills for Every Coding Tool 388 production ready Claude Code skills, plugins, and agent skills for 13 AI coding tools. The most comprehensive open source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing (incl. AEO — Answer Engine Optimization for LLM citation), security (PreToolUse hooks), compliance, C level advisory (incl. founder mode CFO/CMO/CRO/CPO/COO/CHRO/CISO/GC/CDO/CAIO/CCO/VPE personas + 21 /cs: slash commands)…

read the full claude-skills overview →

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Frequently asked questions

Is PaddleOCR or claude-skills more popular?

PaddleOCR has 92,231 GitHub stars and claude-skills has 29,256. PaddleOCR has the larger community by that measure.

Are PaddleOCR and claude-skills free?

Both are open source. PaddleOCR is licensed under Apache-2.0 and claude-skills under MIT. Neither carries a licence fee.

What is the difference between PaddleOCR and claude-skills?

PaddleOCR is written in Python and claude-skills 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, PaddleOCR or claude-skills?

Choose PaddleOCR if you want the larger community (92,231 stars) or its Apache-2.0 licence terms. Choose claude-skills if its feature set, stack or MIT licence fits better. Both are self-hostable.