Metadata-Version: 2.1
Name: dataphile
Version: 0.1.3
Summary: Data Science Tool
Home-page: https://readthedocs.com/dataphile
Author: Geoffrey Lentner
Author-email: <glentner@gmail.com>
License: GPLv3
Keywords: data science tools analytics optimization
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: pandas
Requires-Dist: astropy
Requires-Dist: tqdm
Requires-Dist: scikit-learn
Requires-Dist: keras
Requires-Dist: tensorflow
Requires-Dist: theano
Requires-Dist: h5py

Dataphile
=========

Dataphile is a high-level python package for both data analysis and data processing. It started as
a central repository of common tasks and capabilities used by the author, but has now evolved into
something others might find useful. See [components](#Components) below.


[![GitHub License](http://img.shields.io/badge/license-GPLv3-blue.svg?style=flat)](http://www.gnu.org/copyleft/gpl.html)
[![PyPI Version](https://img.shields.io/pypi/v/dataphile.svg)](https://pypi.org/project/dataphile/)
[![Docs
Latest](https://readthedocs.com/projects/dataphile-dataphile/badge/?version=latest)](https://readthedocs.com/dataphile)

---

<!-- Animated GIF of AutoGUI -->
<img src="https://lentner.io/images/auto_gui_interactive.gif" width="80%"
style="display:block;margin: 0 auto;">
<p style="text-align:center;">
**Figure**: Demonstration of Dataphile's `AutoGUI` feature.
</p>

Componenents
------------

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

Install Dataphile using _pip_. 

```
pip install git+https://github.com/glentner/dataphile
```

If you are using Anaconda, install using the above call to pip _from inside your environment_.

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

Authors
-------

Contributions
-------------

Road Map
--------

TODO: README, PyPI, Docs


