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OMNI-CORE

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TOAQ GROUP © 2024 - 2026

Released under the MIT License.

Navigation

Getting Started

  • Introduction
    • Web & Next.js
    • Python Engine
    • Build from Source
  • Syntax Guide

Web Integration

  • Next.js Integration
  • Binary AST Transfer
  • Custom Components
  • Unified & Plugins Ecosystem Integration
    • Basic App Router
    • Advanced Rendering
    • Live Client Editor

Python

  • Introduction & Core Engine
    • Basic Parsing & Traversal
    • Advanced Analysis & RAG
    • Native Qt Rendering
    • HTML & Web Rendering
    • Basic Parsing
    • Advanced Analysis
    • HTML Rendering
    • Qt Rendering

Architecture & Core

    • Design Philosophy
    • The Rendering Pipeline
    • Lexing & Tokenization
    • AST Node Design
    • Math & JSX Handling
    • Protocol Specification
    • Zero-Copy Decoding
    • Memory Lifecycle
    • WASM Bindings (Browser)
    • Node.js Native Addons
    • Python Bindings (PyO3)
  • Security
    • Benchmarks
    • Fuzzing Results
Docs
Installation
Python Engine

Python & Data Pipelines

Last Updated March 22, 2026

For backend processing, RAG pipelines, extracting metadata, or rendering MDX in native Qt applications, install the Python package (omni-mdx).

The Python bindings are powered by PyO3, bypassing the heavy overhead of standard parsers and guaranteeing the exact same Rust execution speed as the web version.

Prerequisites

  • Python: v3.9 or newer

Installation

Install the pre-compiled wheel via pip:

bash
pip install omni-mdx
ℹ️ Information
Native Performance: Because this package uses PyO3, the heavy lifting is done in native machine code, not in the Python VM. You do not need the Rust toolchain installed to use this package.

Next Step

Check out the Python API documentation to start parsing documents.

Boosted by omni-mdx native node

On this page

  • Prerequisites
  • Installation
  • Next Step
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