Matplotlib OER and HER Gibbs Free Energy Plotter

This Python and Matplotlib application generates publication-quality Gibbs free-energy diagrams for oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) pathways. It includes a command-line plotting engine and a Windows graphical interface for importing datasets, adjusting figure appearance, previewing changes, and exporting figures.

Example outputs

Oxygen evolution reaction

Hydrogen evolution reaction

Main features

• OER and HER Gibbs free-energy profiles under dark and illuminated conditions
• Single-panel, two-panel, and four-panel publication layouts
• CSV, TSV, TXT, DAT, XLS, and XLSX data import
• Live graphical preview with editable titles, labels, colors, axes, grids, and annotations
• Editable SVG and PDF export plus high-resolution PNG and TIFF output
• Reproducible, timestamped output folders that preserve settings and source data

Download and source code

• Download the complete Windows-ready source package
• View the plotting engine on GitHub
• View the graphical interface on GitHub
• View the data importer on GitHub

Quick start on Windows

1. Download and extract the source package.
2. Install Python 3.12 or newer.
3. Double-click Launch_Figure_Editor.bat.
4. Select a built-in or imported OER/HER dataset, adjust the figure, and export the result.

The first launch creates a private Python environment and installs the packages listed in requirements.txt.