Metadata-Version: 2.2
Name: GOUDA
Version: 0.6.5
Summary: Good Old Utilities for Data Analysis!
Author: Sean Mullan
License: MIT
Project-URL: Homepage, https://github.com/mullans/GOUDA
Project-URL: Repository, https://github.com/mullans/GOUDA
Keywords: utilities
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy>=1.21
Requires-Dist: opencv-python
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: colorama
Requires-Dist: types-colorama
Requires-Dist: scipy-stubs
Requires-Dist: typing-extensions; python_version < "3.10"
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: mypy; extra == "dev"


# GOUDA

[![Anaconda-Server Badge](https://anaconda.org/smullan/gouda/badges/version.svg)](https://anaconda.org/smullan/gouda)
[![pypi](https://img.shields.io/pypi/v/gouda)](https://pypi.org/project/GOUDA/)

Good Old Utilities for Data Analysis!

## Description

These are a bunch of data/image/filepath/etc utilities that I've made to help with my research projects. Feel free to use them as you would like, and I'd appreciate it if you make a pull request for any fixes/optimizations you may find.

## Installation

gouda can be installed using [pip](https://pypi.org/project/pip/)

    pip install gouda

Alternatively, you can install gouda with [conda](https://docs.conda.io/projects/conda/en/latest/) or [mamba](https://github.com/mamba-org/mamba)

    conda install gouda -c smullan
