https://github.com/soichiroyamane/gsplot

General-Scientific Plot based on matplotlib 📈
https://github.com/soichiroyamane/gsplot

data-science matplotlib plot python science science-research

Last synced: 3 months ago
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General-Scientific Plot based on matplotlib 📈

• Host: GitHub
• URL: https://github.com/soichiroyamane/gsplot
• Owner: SoichiroYamane
• License: mit
• Created: 2024-05-30T09:39:15.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2026-03-12T20:14:49.000Z (4 months ago)
• Last Synced: 2026-03-13T02:11:10.490Z (4 months ago)
• Topics: data-science, matplotlib, plot, python, science, science-research
• Language: Python
• Homepage: https://soichiroyamane.github.io/gsplot/stable
• Size: 60.9 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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  Docs |

  Authors |

  License



Welcome to **gsplot** (General-Scientific Plot), a toolkit designed to elevate capabilities of data visualization based on [matplotlib](https://matplotlib.org). This package is specifically tailored for creating high-quality figures aimed at the scientific field.

> [!WARNING]

> This package is _beta_ quality. Expect breaking changes and many bugs 🐛. Please report any issue you encounter 🤝.

## ✨ Features

- **Better Plot, Less Effort**: Effortlessly create high-quality figures ⚛️

- **Compatibility**: Fully compatible with [matplotlib](https://matplotlib.org) 📊

- **Customization**: Tailor configurations to suit your needs 🎨

- **Reproducibility**: Save package states for reproducible plots 📦

### 📈 Example using gsplot

[See more details](https://soichiroyamane.github.io/gsplot/stable/guides/demo/4_paper_plot.html)

![example](docs/_static/tutorial/SC_cal.png)

### 🌃 Example with Python REPL 🐍 and neovim 🌟

[See more details](https://soichiroyamane.github.io/gsplot/stable/guides/demo/13_REPL.html)

![repl_tutorial](./docs/_static/tutorial/repl_tutorial_45fps.gif)

## 🚀 Getting Started

To use **gsplot**, ensure that you have `Python 3.10+` installed. You can install the package using `pip`:

```bash

pip install gsplot

```

## 👥 Authors

This repository was forked from codes developed by Giordano Mattoni.

- Giordano Mattoni

- Soichiro Yamane

## 📜 License

This project is licensed under the MIT License. See the [LICENSE](./LICENSE) file for details.