head to head · open source

PaddleOCR vs langgraph

PaddleOCR has 89,745 GitHub stars, 11,360 forks, 243 open issues and last shipped 3 days ago. langgraph has 41,863 stars, 7,069 forks, 786 open issues and last shipped yesterday. PaddleOCR leads on adoption by 114% (89,745 vs 41,863 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.

PaddleOCR ★ 90K langgraph ★ 42K category AI & Machine Learning

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Side by side

PaddleOCR langgraph
GitHub stars ★ 90K ★ 42K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-18
Forks ⑂ 11K ⑂ 7.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick PaddleOCR if

  • You weight community size — 90K 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 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

full langgraph profile →

About PaddleOCR

PaddleOCR is an Apache 2.0 Python OCR and document AI toolkit that converts PDFs and images into structured, LLM ready JSON or Markdown across more than 100 languages, and it is built for developers who need to feed documents into RAG pipelines, agents, and document parsing services.

read the full PaddleOCR overview →

About langgraph

LangGraph is a low level Python orchestration framework for building stateful, long running agents, aimed at developers and platform teams who need durable execution, human in the loop control, and persistent memory instead of a turnkey agent application.

read the full langgraph overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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Frequently asked questions

Is PaddleOCR or langgraph more popular?

PaddleOCR has 89,745 GitHub stars and langgraph has 41,863. 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 (89,745 stars) or its Apache-2.0 licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.