> ## Documentation Index
> Fetch the complete documentation index at: https://docs.datamarkin.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Datamarkin Documentation

> Production-ready computer vision tools for building intelligent visual applications

## Welcome to Datamarkin

Datamarkin provides a powerful ecosystem of Python libraries designed to help you build, deploy, and scale computer vision applications with ease.

<CardGroup cols={3}>
  <Card title="AgentUI" icon="diagram-project" href="/agentui/index">
    Visual workflow builder for computer vision pipelines. Drag-and-drop interface with 35+ built-in tools.
  </Card>

  <Card title="Mozo" icon="server" href="/mozo/index">
    Universal model server with 35+ pre-configured CV models. Automatic memory management and lazy loading.
  </Card>

  <Card title="PixelFlow" icon="eye" href="/pixelflow/index">
    Computer vision library for detection, tracking, and visualization. 20+ annotators and analysis tools.
  </Card>
</CardGroup>

## Why Datamarkin?

<CardGroup cols={2}>
  <Card title="Ecosystem Integration" icon="puzzle-piece">
    All three libraries work together seamlessly. Build workflows in AgentUI, run them on Mozo, and visualize with PixelFlow.
  </Card>

  <Card title="Production Ready" icon="shield-check">
    Battle-tested in production environments with automatic memory management, lazy loading, and efficient processing.
  </Card>

  <Card title="Python First" icon="python">
    Native Python libraries with intuitive APIs. Install via pip and start building in minutes.
  </Card>

  <Card title="Extensible" icon="puzzle">
    Create custom tools, add your own models, and extend the ecosystem to fit your needs.
  </Card>
</CardGroup>

## Quick Start

Get started with any library in minutes:

<CardGroup cols={3}>
  <Card title="AgentUI Quickstart" icon="rocket" href="/agentui/quickstart">
    Build your first visual workflow
  </Card>

  <Card title="Mozo Quickstart" icon="rocket" href="/mozo/quickstart">
    Run your first model prediction
  </Card>

  <Card title="PixelFlow Quickstart" icon="rocket" href="/pixelflow/quickstart">
    Annotate your first detection
  </Card>
</CardGroup>

## How They Work Together

<Steps>
  <Step title="Design with AgentUI">
    Build computer vision workflows visually with drag-and-drop tools. Connect detection, segmentation, tracking, and annotation components.
  </Step>

  <Step title="Execute with Mozo">
    Deploy your workflows using Mozo's model server. Access 35+ pre-configured models with automatic memory management.
  </Step>

  <Step title="Visualize with PixelFlow">
    Annotate and analyze results using PixelFlow's powerful visualization tools. Track objects, monitor zones, and export results.
  </Step>
</Steps>

<Card title="Learn about the ecosystem" icon="sitemap" href="/ecosystem">
  Discover how AgentUI, Mozo, and PixelFlow work together to power your computer vision applications.
</Card>

## Installation

Install any or all libraries via pip:

```bash theme={null}
# Install individual libraries
pip install agentui
pip install mozo
pip install pixelflow

# Or install the entire ecosystem
pip install agentui mozo pixelflow
```

## Use Cases

<CardGroup cols={2}>
  <Card title="Object Detection & Tracking" icon="video">
    Track objects across video frames with zone monitoring and crossing detection.
  </Card>

  <Card title="Document Analysis" icon="file-text">
    Extract text, tables, and layout information from documents and forms.
  </Card>

  <Card title="Visual Quality Control" icon="industry">
    Automate visual inspection and defect detection in manufacturing.
  </Card>

  <Card title="Privacy Protection" icon="user-shield">
    Automatically detect and blur faces or sensitive information in images and videos.
  </Card>
</CardGroup>