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Rust data visualization framework - The modern Plotly alternative

Project description

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.


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


Install Command

Seraplot may be installed using pip

pip install seraplot

or you can also install in conda

conda install -c conda-forge seraplot

Simple Usage

import seraplot, json

seraplot.show_chart_value(json.dumps({
    'title': 'My Chart',
    'labels': ['A', 'B', 'C', 'D'],
    'values': [45.2, 38.9, 52.1, 41.7],
    'hover': [{'index': i} for i in range(4)],
    'group': 'default'
}))

Project details


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This version

2.2.1

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