PyQtGraph

Pure-python graphics and GUI library built on PyQt4/PySide and NumPy.

EstablishedOpen SourceLow lock-in
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Pricing

Free tier

Flat rate

Adoption

↘Cooling

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is PyQtGraph?

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.

Key differentiator

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

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

High-performance data visualization for scientific applicationsmedium

Seamless integration with PyQt4/PySide and NumPymedium

Supports real-time data analysis and displaymedium

↓ Weaknesses

Steep learning curve for non-Python developershigh

API requires Python-specific patterns and idioms, which may be unfamiliar to developers from other language backgrounds.

Limited documentation and examplesmedium

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

Performance issues with large datasetshigh

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

Dependency on PyQt4/PySide can be restrictivemedium

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.

Active development but community size is relatively smalllow

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.

Fit analysis

Who is it for?

✓ Best for

Developers building interactive GUIs with real-time data visualization needs

Scientific researchers requiring high-performance plotting and analysis tools

✕ Not a fit for

Projects that require cloud-based deployment without local installation capabilities

Applications needing a web-based interface rather than desktop GUI

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with PyQtGraph

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →