labpy 0.0.4

labpy - a python laboratory (automation) environment

labPy is a collection of a laboratory instrument connectors/drivers and Qt5 (PySide2) based GUIs / instrument widget sets for fast data plotting, logging and instrument control. Its modular design is aiming at replacing LabView (R), but keeping it tiny and lean.

source: https://gitlab.com/LARAsuite/pylab

labPy main features

• unified GUI environment for easily creating lab device interfaces (python3/QT5/pyside2 based)

• complete application with advanced menus, toolbars, statusbar, settings dialogues

• dock-able windows, flexible window movement, saving of window states

• settings will be preserved over closing the app

• command-line parsing

• signals for communication, threading for multi-threading applications

• many standard widgets (Temperature display, timer, alphanumeric displays, data plotting)

• pluggable widget system

• hardware device interface (serial communication)

• SiLA2 (https://sila-standard.org) support

• Arduino and Raspberry Pi support

• extremely small footprint, fast

• examples / demo library

labpy packages

• core - labpyworkbench

• widgets - collection of reusable widgets

• dev_com - device communication library

• math_models - mathematical models for data evaluation and simulation

labpy fast installation

the fastest way to install labpy is through PyPi and pip:

# –user indicatates to do a local installation into home directory pip3 install –user labpy

labpy full installation

git clone https://gitlab.com/LARAsuite/labpy.git

cd labpy

# this installs everything in a virtual environment for testing:

python3 labpyinstall.py

(Note: please also install dependencies !!)

quick start demos

see examples/demos for feature demos

more examles can be find in the examples section

documentation

see docs/quickstart.rst guide for a quick start

and docs for complete documentation

generating the documentation

current widgets

• alpha numeric

• timer

• oszillograph

• wave generator

• pump control

• simple text edit

• python edit

• matplot

• pyqtgraph