wpcsys 3.2.3

WPC Python driver APIs, the easiest way to Control & Data Acquisition (DAQ)

Overview

WPC Python driver is an easy-to-use open-source API for beginners and professionals. It simplifies communication with WPC products using a consistent and intuitive interface.

With rich examples and simple logic — just open, read/write, and close — you can easily access or update data. It is a practical tool for both learning and developing applications with real-world hardware.

⚠️ Note: Please ensure your firmware version is up-to-date to maintain compatibility.

Architecture

The driver supports both synchronous and asynchronous operation:

• Synchronous: Executes tasks step-by-step, blocking until each completes.

• Asynchronous: Runs tasks independently, allowing concurrency and scalability.

Synchronous APIs are easier to understand and debug, while asynchronous APIs are ideal for high-performance applications.

Install and Upgrade

Install via pip:

pip install wpcsys

To install without dependencies:

pip install wpcsys --no-deps

To upgrade:

pip install --upgrade wpcsys

Supported Platforms

This package provides prebuilt binaries (.so / .pyd) for:

Python Version	Platform	File Format	Supported WPC Products
3.8 ~ 3.12	x86_64 Linux	.so	All WPC products supported
3.8 ~ 3.12	Windows (win_amd64)	.pyd	All WPC products supported
3.8 ~ 3.12	aarch64 Linux	.so	Drone products only

⚠️ Warning: aarch64-linux-gnu builds support only WPC drone products.

Use with other products may cause errors or unexpected behavior.

Quick Start

A minimal working example:

from wpcsys import pywpc

print(pywpc.PKG_NAME)
print(pywpc.HANDLE_LIST)

Example output of HANDLE_LIST:

['DeviceFinder', 'Drone', 'EthanA', 'EthanA2', 'EthanD', 'EthanEXD', 'EthanI', 'EthanIA',
 'EthanL', 'EthanO', 'EthanP', 'EthanT', 'USBDAQF1D', 'USBDAQF1DSNK', 'USBDAQF1AD',
 'USBDAQF1AOD', 'USBDAQF1TD', 'USBDAQF1RD', 'USBDAQF1CD', 'WifiDAQE3A', 'WifiDAQE3AH',
 'WifiDAQF4A', 'WifiDAQE3AOD', 'WifiDAQE3AO', 'STEM', 'EMotion', 'EDriveST']

Resources

• GitHub Repository

• Documentation

• Useful Conda Commands

• Run Examples in Console

• Build EXE from Python Code

• Install Miniconda and Create Virtual Env

• LabVIEW Run-Time Engine

License

Licensed under the MIT License. See LICENSE for details. All included components allow for both commercial and non-commercial use.