glyphx 1.1.0

"A next-gen Python plotting library with SVG-first rendering, interactivity, themes, and clean defaults — better than matplotlib.pyplot"

GlyphX

A Better, Faster, and Simpler Python Visualization Library

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GlyphX is a modern alternative to matplotlib.pyplot with interactive, SVG-based charts that automatically display in:

• Jupyter notebooks
• CLI environments
• IDEs

It provides simplicity, high-quality rendering, built-in tooltips, zoom/pan, and export options — without ever needing plt.show().

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Features

Feature	GlyphX	Matplotlib
Auto-display	✅	❌
Interactive tooltips	✅	❌
Zoom / pan (in browser)	✅	❌
Built-in export buttons	✅ SVG/PNG/JPG	❌
Multi-plot grid layout	✅	✅
Seaborn-style charts	✅ (lmplot, pairplot, etc.)	Partial
Hover highlighting	✅	❌
Colorblind-friendly mode	✅	❌
Shared axes support	✅	✅
Font & theme customization	✅	✅

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Installation

pip install glyphx

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Quick Example

from glyphx import plot

fig = plot(x=[1, 2, 3], y=[2, 4, 6], kind="line", label="Demo")
# No need for fig.show(); it auto-displays in Jupyter or saves via fig.save()

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Chart Types

• Line chart
• Bar chart (including grouped bars)
• Scatter plot
• Pie / Donut chart
• Box plot
• Histogram
• Swarm plot
• Violin plot
• Count plot
• lmplot, jointplot, pairplot
• Faceted charts (FacetGrid, facet_plot)

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Interactivity

All charts support:

• Mouseover tooltips
• Zoom / pan (mouse wheel + drag)
• Click-to-download buttons (SVG, PNG, JPG)

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Export Options

fig.save("my_chart.png")
fig.save("my_chart.svg")

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Grid Layout

from glyphx.layout import grid

charts = [plot(...), plot(...), plot(...)]
html = grid(charts, cols=2)

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Theming

from glyphx.themes import themes
theme = themes["dark"]

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License

MIT License
(c) 2025 GlyphX contributors