Welcome to LDAQ documentation!

What is LDAQ?

LDAQ stands for Lightweight Data AcQuisition, a Python-based toolkit designed to make data collection seamless and efficient. Whether you’re a researcher, engineer, or hobbyist, LDAQ offers a powerful yet user-friendly platform to gather data from a wide range of hardware sources. The package enables data acquisition and signal generation from multiple hardware sources, and costumizable live data visualization.

Key Features:

• 🐍 Python-Powered: Built on the robust and versatile Python language, LDAQ harnesses its power to offer a streamlined data collection process. It’s compatible with all Python environments, ensuring ease of integration into your existing workflows.

• 📟 Diverse Hardware Compatibility: LDAQ supports a variety of hardware sources, including:

  • National Instruments

  • Digilent

  • Serial communication devices (i.e. Arduino, ESP)

  • FLIR Cameras

  • Simulated hardware

• 📊 Advanced Data Visualization & Analysis: LDAQ doesn’t just collect data; it helps you understand it. With built-in features like real-time signal visualization and Fast Fourier Transform (FFT) analysis, you can dive deep into your data for more insightful discoveries.

• ⚙️ Customization & Flexibility: Tailor LDAQ to your specific needs. Whether you’re dealing with high-speed data streams or complex signal processing, LDAQ’s customizable framework allows you to optimize and accelerate your data acquisition processes.

The source-code for this package is available on GitHub.

See Getting started for a quick start guide.

See Tutorials to learn about different LDAQ features.

For more advanced use cases of currently supported hardware see notebook Examples.

Table of Contents

• Installation
• Getting started
  • Create the acquisition object
  • Create the Core object
  • Set the trigger
  • Run the measurement
  • Save the measurement
  • What else can I do with LDAQ?
• Tutorials
  • Acquisition
  • Generation
  • Live visualization
    • Adding lines to the plot
    • Configure the subplots
  • Multiple sources
    • Multiple acquisition sources
    • Multiple generation sources
  • Virtual Channels
  • Create NI task
    • Input task
    • Output task
  • Custom Acquisitions
    • General Guidelines
    • Example
• Code snippets
  • National Instruments
    • Acquisition only
    • Acquisition with visualization
    • Acquisition, generation and visualization
• Supported Devices
  • Acqusition
  • Generation
  • Hardware-Specific Installation Instructions
• Code documentation
  • Overview
  • Acquisition
    • Base Acqusition Class
    • Hardware-Specific Acqusition Classes
  • Generation
    • Base Generation Class
    • Hardware-Specific Generation Classes
  • Visualization
    • Visualization
  • Core
    • Core
  • Utilities
    • National Instruments
    • Other
• Examples
  • Analog Discovery Acquisition 2
  • Serial Acquisition
    • C code uploaded to the Arduino:
  • Serial simple acquisition
    • C code uploaded to the Arduino:
  • NI acquisition
  • Basler acquisition
  • Flir acquisition and visualization
  • Multiple acquisition
  • NI Acquisition, generation and visualization
  • Check events
  • Virtual channel
  • Simultated data and video
  • Advanced visualization
    • Creation of simulated signals:
    • Creation of simulated acquisition source:
  • App performance
  • Periodic Data Saving Example

Indices and tables

• Index

• Search Page