KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#dsh #dsh-plugin #ai-agent #developer-tools #codex #typescript #cli #deepseek-harness #claude-code #ai-agents #mcp #rust

grplot

★ 41 Open GitHub ↗

lazy statistical data visualization

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

--------------------------------------

grplot: lazy statistical data visualization
=======================================

[![PyPI Version](https://img.shields.io/pypi/v/grplot.svg)](https://pypi.org/project/grplot/) [![License](https://img.shields.io/pypi/l/grplot.svg)](https://github.com/ghiffaryr/grplot/blob/master/LICENSE.md)  [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17159965.svg)](https://doi.org/10.5281/zenodo.17159965) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/grplot/badges/latest_release_date.svg)](https://anaconda.org/conda-forge/grplot) [![PyPI Downloads](https://static.pepy.tech/personalized-badge/grplot?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=GREEN&left_text=downloads)](https://pepy.tech/projects/grplot) ![Coverage Badge](https://gist.githubusercontent.com/ghiffaryr/8fce7554f72160b59527bd0deecf7666/raw/coverage-badge.svg?sanitize=true)

grplot is a Python visualization library based on numpy, scipy, matplotlib, seaborn, squarify, pandas, and ipython. It supports human laziness in drawing complete and attractive statistical graphs in just one function.

Documentation
-------------

Online documentation is available at [grplot.readthedocs.io](https://grplot.readthedocs.io/).

An interactive [Documentation Notebook](https://colab.research.google.com/drive/1jkOoWooJgrr9xgEF6KWyNi56_Naqum_g) is also available on Google Colab.

Dependencies
------------

grplot supports Python 3.10+.

Installation requires [numpy](https://numpy.org), [scipy](https://www.scipy.org), [matplotlib](https://matplotlib.org), [pandas](https://pandas.pydata.org), and [ipython](https://ipython.readthedocs.io/). Some functions will optionally use [statsmodels](https://www.statsmodels.org) if it is installed.

Installation
------------

The latest stable release (and required dependencies) can be installed from PyPI:

pip install grplot

The latest stable release (and required dependencies) can be installed from Conda:

conda install -c conda-forge grplot

Development
-----------

grplot development takes place on Github: https://github.com/ghiffaryr/grplot/tree/dev

Please submit bugs that you encounter to the [issue tracker](https://github.com/ghiffaryr/grplot/issues) with a reproducible example demonstrating the problem.

grplot

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README