head to head · open source

PaddleOCR vs oh-my-pi

PaddleOCR has 89,907 GitHub stars, 11,375 forks, 243 open issues and last shipped 6 days ago. oh-my-pi has 32,178 stars, 3,411 forks, 2,964 open issues and last shipped yesterday. PaddleOCR leads on adoption by 179% (89,907 vs 32,178 stars). PaddleOCR is written in Python under Apache-2.0; oh-my-pi is written in TypeScript under MIT. PaddleOCR has attracted 13% as many forks as stars, oh-my-pi 11%. oh-my-pi 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 oh-my-pi ★ 32K category AI & Machine Learning

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Side by side

PaddleOCR oh-my-pi
GitHub stars ★ 90K ★ 32K
License Apache-2.0 MIT
Written in Python TypeScript
Last push 2026-09-16 2026-09-21
Forks ⑂ 11K ⑂ 3.4K
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 oh-my-pi if

  • You want the oh-my-pi feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and oh-my-pi fits your workflow better

full oh-my-pi 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 oh-my-pi

oh my pi is an MIT licensed, terminal based coding agent distributed as omp, built for developers who want a complete agent surface — 60+ model providers, 31 built in tools, language server and debug adapter integration — that runs on their own machine instead of assembling a stack of separate tools.

read the full oh-my-pi overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 248K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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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 oh-my-pi more popular?

PaddleOCR has 89,907 GitHub stars and oh-my-pi has 32,178. PaddleOCR has the larger community by that measure.

Are PaddleOCR and oh-my-pi free?

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

What is the difference between PaddleOCR and oh-my-pi?

PaddleOCR is written in Python and oh-my-pi in TypeScript. 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 oh-my-pi?

Choose PaddleOCR if you want the larger community (89,907 stars) or its Apache-2.0 licence terms. Choose oh-my-pi if its feature set, stack or MIT licence fits better. Both are self-hostable.