Metadata-Version: 2.4
Name: mdu
Version: 0.0.2
Summary: Utility functions for data analysis and visualization.
Author-email: Matthias Dold <matthias.dold@gmx.de>
License: MIT
Project-URL: Homepage, https://github.com/matthiasdold/mdu
Project-URL: Documentation, https://matthiasdold.github.io/mdu/
Project-URL: Repository, https://github.com/matthiasdold/mdu
Project-URL: Issues, https://github.com/matthiasdold/mdu/issues
Project-URL: Changelog, https://github.com/matthiasdold/mdu/releases
Keywords: visualization,plotly,data-analysis,eeg,mne,statistics
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
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Dynamic: license-file

# MD Utils

![CI](https://github.com/matthiasdold/mdu/workflows/CI%20Testing/badge.svg?branch=main)
[![codecov](https://codecov.io/gh/matthiasdold/mdu/branch/main/graph/badge.svg)](https://codecov.io/gh/matthiasdold/mdu)
![Tests](https://img.shields.io/badge/tests-176%20passed-brightgreen)
![Python](https://img.shields.io/badge/python-3.10+-blue)

This repo includes common functionality I often use during analysis of
electrophysiology data.

Checkout [the documentation](https://matthiasdold.github.io/mdu/docs/index.html)


## Installation

```bash
# Basic installation
pip install mdu

# With development tools
pip install mdu[dev]

# With optional features
pip install mdu[resampler]  # For large time-series plotting
pip install mdu[ml]          # For ML plotting utilities
pip install mdu[dash]        # For interactive dashboards
pip install mdu[all]         # All optional features
```

## Testing

Run tests with coverage:

```bash
pytest tests/ --cov=src/mdu --cov-report=html
```

Current test coverage: **27%** (176 tests passing)

Coverage reports are automatically tracked on [Codecov](https://codecov.io/gh/matthiasdold/mdu) via CI.

