head to head · open source

PaddleOCR vs oh-my-pi

PaddleOCR has 92,315 GitHub stars, 11,621 forks, 243 open issues and last shipped 2 months ago. oh-my-pi has 37,931 stars, 4,277 forks, 2,964 open issues and last shipped yesterday. PaddleOCR leads on adoption by 143% (92,315 vs 37,931 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 ★ 92K oh-my-pi ★ 38K category AI & Machine Learning

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Side by side

PaddleOCR oh-my-pi
GitHub stars ★ 92K ★ 38K
License Apache-2.0 MIT
Written in Python TypeScript
Last push 2026-09-16 2026-11-05
Forks ⑂ 12K ⑂ 4.3K
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 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

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 oh-my-pi

A coding agent with the IDE wired in. omp.sh Fork of Pi by @mariozechner The most capable agent surface that ships. Continuously tuned by real world use — complete out of the box, open all the way down. 60+ providers · 31 built in tools · 14 lsp ops · 28 dap ops · 80k lines of Rust core. [!NOTE] Pull requests are temporarily open to everyone as a trial. We previously required a vouch before accepting PRs; that requirement is lifted for now while we evaluate how open contributions go. Depending on the results, the vouch system may return. Install macOS · Linux Alpine / musl: the prebuilt musl binary links…

read the full oh-my-pi overview →

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Frequently asked questions

Is PaddleOCR or oh-my-pi more popular?

PaddleOCR has 92,315 GitHub stars and oh-my-pi has 37,931. 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 (92,315 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.