lightningchart 2.1.1

An interactive high-performance data visualization library

LightningChart Python - Ultra-High-Performance Python Charts

LightningChart Python is a GPU-accelerated, WebGL-powered data visualization library for Python, designed to deliver exceptional performance and real-time responsiveness when creating charts using massive static or streaming datasets.

Watch the showcase video below:

Key Features

• High-performance rendering: Leverages GPU acceleration and WebGL rendering for smooth interactivity and high refresh rates, even with millions of data points.
• 2D & 3D charts: Support for an extensive range of visualization types, including line, scatter, heatmap, area, box, figure, spline, step, point-line, polar, bar, pre, funnel, pyramid, map, treemap, parallel coordinate, gauge and 3D charts including line, scatter, surface, scrolling surface, mesh model and box.
• Real-time streaming: Built to handle real-time updates efficiently for dynamic dashboards and monitoring solutions.
• Seamless integration: Works with familiar Python tools: NumPy, Pandas, and GUI frameworks like PyQt, as well as Jupyter notebooks and standalone scripts.
• Licensing options:
  • Data Scientist (free/premium): Tailored for personal projects, including scripting and notebook-based workflows. Includes a 7-day free trial of premium features.
  • Software Developer: Per-seat, perpetual license designed for embedding charts in commercial, distributable software.

Getting Started

Installation

pip install lightningchart

Basic Example

import lightningchart as lc
import random

lc.set_license("your-license-key")

x = list(range(250))
y = [random.random() for _ in x]

chart = lc.ChartXY(theme=lc.Themes.Light, title="Line Chart")
chart.add_line_series().add(x, y)
chart.open()

About Performance:

The following results are on average, and highlight how much faster LightningChart Python is compared to other Python charting libraries:

• Real-time tests: 3,630 times faster than other Python libraries tested
• Static tests: 22,155 times faster than other Python libraries tested

For more information on performance benchmarks, visit our Performance Benchmark page.

LightningChart Python Trader

For financial data visualization, consider LightningChart Python Trader, the most comprehensive Python library for financial charting, featuring over 100 built-in technical indicators (e.g., SMA, EMA, oscillators, volatility tools), drawing tools, and advanced technical analysis capabilities.

Gallery

• More Examples

Useful links

• 7-day Free trial License
• Student License
• Developer Documentation
• API Documentation
• Guides
• Terms of use