head to head · open source

PaddleOCR vs crewAI

PaddleOCR has 89,745 GitHub stars, 11,360 forks, 243 open issues and last shipped 3 days ago. crewAI has 58,726 stars, 8,498 forks, 353 open issues and last shipped yesterday. PaddleOCR leads on adoption by 53% (89,745 vs 58,726 stars). PaddleOCR is written in Python under Apache-2.0; crewAI is written in Python under MIT. PaddleOCR has attracted 13% as many forks as stars, crewAI 14%. crewAI 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 crewAI ★ 59K category AI & Machine Learning

← all 13541 open source comparisons

Side by side

PaddleOCR crewAI
GitHub stars ★ 90K ★ 59K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-18
Forks ⑂ 11K ⑂ 8.5K
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 crewAI if

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

full crewAI 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 crewAI

CrewAI is an open source Python framework for orchestrating role playing, autonomous AI agents through collaborative Crews and event driven Flows, released under the MIT licence and built for developers and teams producing multi agent workflows in production.

read the full crewAI overview →

More in AI & Machine Learning

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

Related comparisons

openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

PaddleOCR vs Dify PaddleOCR vs langchain PaddleOCR vs ponytail PaddleOCR vs generative-ai-for-beginners PaddleOCR vs graphify PaddleOCR vs claude-mem PaddleOCR vs ragflow PaddleOCR vs Agent-Reach PaddleOCR vs headroom PaddleOCR vs Mem0 PaddleOCR vs daily_stock_analysis PaddleOCR vs LiteLLM

Frequently asked questions

Is PaddleOCR or crewAI more popular?

PaddleOCR has 89,745 GitHub stars and crewAI has 58,726. PaddleOCR has the larger community by that measure.

Are PaddleOCR and crewAI free?

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

What is the difference between PaddleOCR and crewAI?

PaddleOCR is written in Python and crewAI 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 crewAI?

Choose PaddleOCR if you want the larger community (89,745 stars) or its Apache-2.0 licence terms. Choose crewAI if its feature set, stack or MIT licence fits better. Both are self-hostable.