seraplot 2.4.0

Rust data visualization framework - The modern Plotly alternative

SeraPlot - Rust-Powered Data Visualization Framework

SeraPlot is a framework developed in Rust, meticulously crafted with care. It is a modern alternative to Plotly, designed specifically for data visualization. This library is distributed across multiple programming languages (Python, C#, C++, JavaScript), regularly maintained and updated, offering superior speed and significantly lower memory consumption compared to competitors.

documentation : https://feur25.github.io/seraplot/introduction.html

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Why Choose SeraPlot

• More fast than plotly; generation across all dataset sizes
• Minimal memory footprint - ideal for resource-constrained environments
• Production-ready with enterprise-grade stability
• Multi-language support (Python, C#, C++, JavaScript, and more if necessary send me a message)
• Regularly updated with new plots - new features and improvements
• Perfect for real-time dashboards and batch processing

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Install Command

Seraplot may be installed using pip

pip install seraplot

or you can also install in conda or uv

conda install -c conda-forge seraplot

uv pip install seraplot

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Gallery — Chart Types

2D Charts

3D Charts

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Benchmark — SeraPlot vs Plotly vs Matplotlib

SeraPlot outperforms Plotly and Matplotlib by 100–8000× on chart generation speed.

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Quick Start

from seraplot import build_bar_chart

# Create a simple bar chart
build_bar_chart(
    'Sales by Region',
    ['North', 'South', 'East', 'West'],
    [120, 95, 150, 110],
    width=900, height=500
)