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Beautiful, Interactive Charts with Python

A grammar of graphics approach powered by Apache ECharts

What is GoCharts?¶

GoCharts is a Python visualization library that combines the elegance of the grammar of graphics (like ggplot2/plotnine) with the power and interactivity of Apache ECharts. Create stunning, interactive visualizations with an intuitive, declarative syntax.

Key Features¶

Grammar of Graphics - Declarative syntax inspired by ggplot2
Interactive by Default - Built on Apache ECharts for rich interactivity
Beautiful Themes - Professional-looking charts out of the box
Comprehensive Chart Types - Line, bar, scatter, heatmap, and more
Easy to Learn - Pythonic API that feels natural
Responsive - Charts that work beautifully on any screen size

Quick Example¶

import gocharts as go
import pandas as pd

# Sample data
df = pd.DataFrame({
    'x': range(10),
    'y': [2, 4, 3, 5, 7, 6, 8, 9, 8, 10]
})

# Create an interactive line chart
chart = (
    go.Chart(df)
    .map(x='x', y='y')
    .geom('line')
)

chart.display()

Installation¶

pip install gocharts

Why GoCharts?¶

Familiar Syntax, Modern Output¶

If you love the grammar of graphics approach but need interactive, web-ready visualizations, GoCharts is for you.

import gocharts as go

(go.Chart(data)
 .map(x='category', y='value')
 .geom('bar')
 .theme(go.Theme()))

Powered by Apache ECharts¶

Built on one of the most powerful JavaScript visualization libraries, giving you:

• Rich Interactions - Zoom, pan, tooltips, data selection
• Performance - Handle large datasets smoothly
• Battle-Tested - Used by thousands of companies worldwide
• Customizable - Full control over appearance and behavior

Get Started¶

API Overview¶

Community & Support¶

• GitHub Issues: Report bugs or request features
• Discussions: Ask questions and share your work

License¶

GoCharts is open source and available under the GNU GENERAL PUBLIC LICENSE.