/brea

Algorithm Catalog Server for Collaborative Data Science

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

Brea

Building Status Documentation Status PIP Version

Brea is a planed catalog server for algorithm storage and evaluation and based on GIT. Brea aims to serve as an algorithm catalog to allow the usage of abstract currently best fitting (CBF) algorithms, as required by the Cloud-Assisted Meta Programming (CAMP) paradigm.

Thereby Brea is required to host and deliver algorithms as well as to cyclically evaluate and index them with respect to their corresponding metrics, using Rian. An example for such a metric would be the average prediction accuracy within a fixed set of gold standard samples of the respective domain of application (e.g. latin handwriting samples, spoken word samples, TCGA gene expression data, etc.). Consequently Brea is also required to host or connect these samples by using Deet.

Due to this approach brea allows the implementation of smart analytics projects, that are automatically kept up-to-date by a minimum of maintenance costs. Also brea supports scientific applications, by facilitating a local (workgroup, lab, institution) or global publication, application and evaluation of algorithms, e.g. developed within a PhD-position or program.

Brea is open source, based on the Python programming language and actively developed as part of the Vivid Code framework at Frootlab.

Current Development Status

Brea currently is in late Planning stage, which immediately is followed by the Pre-Alpha stage. This means, that the projects directives, requirements and goals are mostly settled but so far only hardly implemented.

Installation

Comprehensive information and installation support is provided within the online manual. If you already have a Python environment configured on your computer, you can install the latest distributed version by using pip:

$ pip install brea

Documentation

The latest Brea documentation is available as an online manual and for download in the formats PDF, EPUB and HTML.

Contribute

Contributors are very welcome! Feel free to report bugs and feature requests to the issue tracker provided by GitHub. Currently, as the Frootlab Developers team still is growing, we do not provide any Contribution Guide Lines to collaboration partners. However, if you are interested to join the team, we would be glad, to receive an informal application.

License

Brea is open source and available free for any use under the GPLv3 license:

© 2019 Frootlab Developers:
  Patrick Michl <patrick.michl@frootlab.org>