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Data Science Tool

Project description


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](](
[![PyPI Version](](
[![Docs Latest](](


<!-- Animated GIF of AutoGUI -->
<img src="" width="80%"
style="display:block;margin: 0 auto;">

**Figure**: Demonstration of Dataphile's `AutoGUI` feature.


To install Dataphile for general purposes use Pip:

pip install dataphile

If you are using Anaconda, install using the above call to pip _from inside your environment_.
There is not as of yet a separate conda package.


Documentation will be available at [](
Currently, development of additional features is a priority, but this is a great place for
contributing to the project.


Contributions are welcome in the form of suggestions for additional features, pull requests with
new features or bug fixes, etc. If you find bugs or have questions, open an _Issue_ here. If and
when the project grows, a code of conduct will be provided along side a more comprehensive set of
guidelines for contributing; until then, just be nice.

Road Map

- **additional command line tools**<br>
Many additional command line tools are planned for future releases including tools that expose
database queries and filters. Generally, just a massive extension of the UNIX philosophy whereby
we can compose several functions together with pipes to make unique workflows.

- **data acquisition**<br>
One of the motivations for this package was to provide an easy-to-use, high-level interface to
collecting scientific data from an externel device (e.g., over USB). This, along side a simple
live data visualization feature would go a long way for high school and university student
laboratory courses to both aquire and analyze their data using all open-source tools right inside
of a [Jupyter Notebook](

- **documentation and package management**<br>
A quickstart guide along with full documentation of all components needs to be built using Sphinx.

Project details

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