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Welcome to Datamarkin

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

Why Datamarkin?

Ecosystem Integration

All three libraries work together seamlessly. Build workflows in AgentUI, run them on Mozo, and visualize with PixelFlow.

Production Ready

Battle-tested in production environments with automatic memory management, lazy loading, and efficient processing.

Python First

Native Python libraries with intuitive APIs. Install via pip and start building in minutes.

Extensible

Create custom tools, add your own models, and extend the ecosystem to fit your needs.

Quick Start

Get started with any library in minutes:

How They Work Together

1

Design with AgentUI

Build computer vision workflows visually with drag-and-drop tools. Connect detection, segmentation, tracking, and annotation components.
2

Execute with Mozo

Deploy your workflows using Mozo’s model server. Access 35+ pre-configured models with automatic memory management.
3

Visualize with PixelFlow

Annotate and analyze results using PixelFlow’s powerful visualization tools. Track objects, monitor zones, and export results.

Learn about the ecosystem

Discover how AgentUI, Mozo, and PixelFlow work together to power your computer vision applications.

Installation

Install any or all libraries via pip:
# Install individual libraries
pip install agentui
pip install mozo
pip install pixelflow

# Or install the entire ecosystem
pip install agentui mozo pixelflow

Use Cases

Object Detection & Tracking

Track objects across video frames with zone monitoring and crossing detection.

Document Analysis

Extract text, tables, and layout information from documents and forms.

Visual Quality Control

Automate visual inspection and defect detection in manufacturing.

Privacy Protection

Automatically detect and blur faces or sensitive information in images and videos.