PyQtGraph

About PyQtGraph

A pure-Python graphics and GUI library built on PyQt and NumPy. PyQtGraph provides fast, interactive scientific graphics for displaying real-time data, including 2D/3D plots, image display, and data analysis widgets.

Key Features

• 1Fast scientific plotting library built on PyQt/PySide and NumPy
• 2Real-time plot updates at high frame rates via OpenGL acceleration
• 32D and 3D plotting: line, scatter, image, histogram, and mesh plots
• 4Interactive widgets for panning, zooming, and region of interest selection
• 5Embeds in PyQt desktop applications without a browser

How Python Data Engineers Use PyQtGraph

Python data engineers use PyQtGraph to build desktop monitoring tools for data pipeline metrics — displaying real-time throughput charts, latency histograms, and queue depth gauges in a native Python desktop application. Its high-frequency update capability makes it suitable for visualizing streaming pipeline performance data at update rates up to 100Hz.