pyanthem 1.1.0

pyanthem - an audiovisualization tool to make your data more interesting

Features:

1. Raw data decomposition

2. A variety of video and audio parameters

3. In-place video and audio merge

4. GUI and Command-line interface for maximum flexibility

5. Example datasets to get you started

Requirements

Python 3.7:

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

fluidsynth is a powerful software synthesizer, which enables conversion of data to crisp, high quality sound files.

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, miniconda is preferred as it is a faster install and takes up much less space.

If you do have the above requirements installed, you can simply install pyanthem using pip: pip install pyanthem

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 the pyanthem Python package using pip:

pip install pyanthem

Downloading Example datasets

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

Using pyanthem in a Jupyter Notebook

To access the pyanthem environment in a Jupyter notebook, first install ipykernel in your environment:

conda install -c anaconda ipykernel

After this, create the kernel:

python -m ipykernel install --user --name=pyanthem

Once in a notebook, switch to the pyanthem kernel by selecting Kernel > Change kernel > pyanthem

Usage

Under construction!

Team

Nic Thibodeaux
http://github.com/nicthib

FAQ

Under construction!

Support

• Twitter: @nicthibs