seraplot 2.8.0

Rust data visualization framework - The modern Plotly alternative

SeraPlot — High-Performance Data Visualization Framework

SeraPlot v2.8.0+ is a Rust-native charting library exposed to Python as a single compiled extension — no JavaScript charting library, no Node toolchain, no external rendering service. One pip install gets you 60+ chart types across 2D, 3D, and maps, a small canvas drawing API for custom compositions, and sp.App — a reactive dashboard server built directly into the core, no Flask or Dash required.

Every chart renders to a single self-contained HTML file — no CDN, no backend, works offline or embedded anywhere a browser can open a file.

Documentation: https://feur25.github.io/Sera/getting-started/intro-seraplot.html

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Installation

Python (PyPI — wheel for CPython 3.8+, Windows/Linux/macOS)

pip install seraplot

Other package managers:

conda install -c conda-forge seraplot
uv pip install seraplot

JavaScript/WebAssembly (npm)

npm install seraplot

Quickstart

import seraplot as sp

chart = sp.bar("Revenue by Product", labels=["A", "B", "C"], values=[42, 68, 35])
chart.save("chart.html")

Open chart.html in any browser — no server, no build step.

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Gallery — Chart Types

2D Charts

3D Charts

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