head to head · open source
PaddleOCR vs langgraph
PaddleOCR has 92,143 GitHub stars, 11,613 forks, 243 open issues and last shipped 2 months ago. langgraph has 44,336 stars, 7,622 forks, 786 open issues and last shipped yesterday. PaddleOCR leads on adoption by 108% (92,143 vs 44,336 stars). PaddleOCR is written in Python under Apache-2.0; langgraph is written in Python under MIT. PaddleOCR has attracted 13% as many forks as stars, langgraph 17%. langgraph 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
| PaddleOCR | langgraph | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 44K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-16 | 2026-11-02 |
| Forks | ⑂ 12K | ⑂ 7.6K |
| 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
pick langgraph if
- You want the langgraph feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and langgraph fits your workflow better
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 langgraph
Low level orchestration framework for building stateful agents. Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low level orchestration framework for building, managing, and deploying long running, stateful agents. [!TIP] If you're looking to quickly build agents, check out Deep Agents — a higher level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks. For an equivalent JS/TS library, check out LangGraph.js and the JS docs. Why use LangGraph? LangGraph provides low level supporting…
read the full langgraph overview →
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Frequently asked questions
Is PaddleOCR or langgraph more popular?
PaddleOCR has 92,143 GitHub stars and langgraph has 44,336. PaddleOCR has the larger community by that measure.
Are PaddleOCR and langgraph free?
Both are open source. PaddleOCR is licensed under Apache-2.0 and langgraph under MIT. Neither carries a licence fee.
What is the difference between PaddleOCR and langgraph?
PaddleOCR is written in Python and langgraph 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 langgraph?
Choose PaddleOCR if you want the larger community (92,143 stars) or its Apache-2.0 licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.