LightningChart Python is a high-performance data visualization library for Python, enabling fast, interactive 2D and 3D charting of both static and real-time data. It leverages GPU acceleration and WebGL rendering to handle large datasets efficiently, supporting a wide range of chart types and seamless integration with Python data science tools and GUI frameworks.

Key Features

GPU-Accelerated Rendering Enables visualization of large datasets with smooth performance.

• Utilizes graphics processors for fast rendering.
• Supports millions of data points without lag.

Extensive Chart Types Offers a broad range of 2D and 3D charts.

• Includes line, scatter, heatmap, area, box, bar, spider, gauge, pie, funnel, pyramid, treemap, map, and dashboard charts.
• 3D plots: line, scatter, surface, mesh, box, and polar plots.

Real-Time and Static Data Visualization Handles both streaming and static data.

• Real-time plotting for sensor data, bio-signals, and monitoring.
• Instant zooming and data cursor capabilities.

Integration with Python Ecosystem Works seamlessly with popular Python tools.

• Compatible with numpy, pandas, and Python notebooks.
• Supports embedding in GUI frameworks like PyQt and PySide.

Customizable UI Elements Allows extensive appearance and interaction customization.

• Dynamic dashboards and interactive visuals.

Benefits

High Performance for Large Data Efficiently processes and visualizes big datasets.

• Maintains responsiveness with millions of points.
• Suitable for scientific, engineering, and analytics applications.

Versatility Across Use Cases Adapts to various domains and workflows.

• Useful for data scientists, researchers, and developers.
• Can be used in personal scripts, notebooks, and commercial applications.

Flexible Licensing Offers options for individuals and businesses.

• Personal (Data Scientist) and professional (Software Developer) licenses.
• Free trial and flexible pricing models