Last commit on August 4, 2026·Created on May 22, 2026
VILA-Lab/FigMirror
“Translates the visual aesthetics of academic paper figures into reproducible Matplotlib code.”
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TL;DR
FigMirror helps academic researchers reproduce the specific visual register of professional figures using their own datasets. By analyzing a reference screenshot from a paper, the skill identifies stylistic elements to generate charts that match high-standard publication aesthetics.
This process automates the transition from a reference image and tabular data to precise Matplotlib output, ensuring new visualizations maintain consistency with established academic styles.
WHO IT'S FOR
Academic researchers
reproduce paper figure styles with new data
Data scientists
generate matplotlib charts from reference images
AI agent builders
integrate style-transfer plotting into AI workflows
Scientific illustrators
match journal aesthetics for data rendering
Want to install it?
CLI Installer · Clone to Claude · Clone to CodexRepository instructions