PyQtGraph

What it is

PyQtGraph is a pure-Python graphics and GUI library that provides high-performance data visualization for scientific applications. It integrates seamlessly with PyQt4 or PySide and NumPy, making it ideal for real-time data analysis and display in Python environments.

PyQtGraph stands out as a pure-Python solution for high-performance data visualization, offering seamless integration with PyQt4/PySide and NumPy.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited documentation and examples

   The official documentation lacks comprehensive guides and detailed examples for advanced use cases, leading to a steeper learning curve.

2. 02

   Performance issues with large datasets

   Rendering complex plots or handling very large datasets can lead to performance degradation, affecting real-time data analysis capabilities.

3. 03

   Dependency on PyQt4/PySide can be restrictive

   Tight integration with PyQt4 and PySide means that users must adhere to the limitations and quirks of these GUI frameworks, which may not always align with project requirements.

4. 04

   Active development but community size is relatively small

   While actively maintained, PyQtGraph has a smaller user base compared to some other visualization libraries, potentially limiting the availability of third-party plugins and community support.

What it does well

• High-performance data visualization for scientific applications

• Seamless integration with PyQt4/PySide and NumPy

• Supports real-time data analysis and display

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.