pyanthem 0.72

pyanthem - an audiovisualization tool to make your data more interesting

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pyanthem: an audiovisualization tool to make your data more interesting

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pyanthem is a tool that transforms three-dimensional time-varying datasets into a colorful, audible format. pyanthem boasts a variety of features:

1. Raw data decomposition
2. Video and audio preview
3. A broad variety of video and audio parameters
4. Command-line reproduction via config files

Requirements

Python 3: Currently, pyanthem is tested to work on Python 3.7_. This will be updated as more versions are tested.

ffmpeg: ffmpeg_ enables video creation and merging.

fluidsynth (optional, but highly recommended) fluidsynth_ is a powerful software synthesizer, which enables conversion of data to crisp, high quality sound files.

.. _Python 3.7: https://www.python.org/downloads/release/python-378/ .. _ffmpeg: https://ffmpeg.org/ .. _fluidsynth: http://www.fluidsynth.org/

Installation

Note: If you do not have working installations of the above listed requirements, it is strongly recommended that you use miniconda_/Anaconda_ for a straightforward installation process. If you do not have either, minicondais preferred as it is a faster install and takes up much less space.

Using Miniconda/Anaconda:

Create an environment and install the required packages::

conda create -n pyanthem python=3.7 pip ffmpeg fluidsynth --channel conda-forge --channel nicthib

Next, activate the environment::

conda activate pyanthem

Finally, install pyanthem using pip::

pip install pyanthem

Using pip

If you already have the listed requirements installed, install pyanthem using pip::

pip install pyanthem

.. _miniconda: https://docs.conda.io/en/latest/miniconda.html .. _Anaconda: https://www.anaconda.com/products/individual

Downloading Example datasets

If you want to get familiar with the datasets that pyanthem uses, download this small collection of datasets/config files_

.. _datasets/config files: https://github.com/nicthib/anthem_datasets/archive/master.zip

Usage

Under construction!

Team

.. |niclogo| image:: https://avatars1.githubusercontent.com/u/34455769?v=3&s=200

.. csv-table:: :header: Nic Thibodeaux

|niclogo| <http://github.com/nicthib>

FAQ

• How do I do specifically so and so?
  • No problem! Just do this.

Support

• Twitter: @nicthibs_

.. _@nicthibs: http://twitter.com/nicthibs