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About BORIS

Authors

Olivier Friard and Marco Gamba.

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Contacts

contact

Olivier Friard Department of Life Sciences and Systems Biology University of Torino Via dell'Accademia Albertina, 13 I-10123 TORINO (ITALY)

My PGP public key.

Acknowledgment

The authors would like to acknowledge all the users who report bugs, suggestions and feature requests for their precious collaboration.

Many thanks to Margot Friard who has designed all BORIS logo (logo v.1, logo v.2).

If you find this software useful, please send me a nice postcard of the place where do you live.

Please also consider to give a star to the BORIS GitHub repository.

User testimonials

Bug report

Please report the bugs! See the how to report a bug page.

Feature request

For suggestion and feature request please use the GitHub repository.

Credits

BORIS is developed entirely with open source software.

BORIS is developped in Python 3.10 using PyQt5 for the GUI (should run from Python >= 3.8).

The mpv media player library and the python-mpv interface are used to play media files.

The Matplotlib python 2D plotting library is used for plotting events and generating the spectrogram.

The Pandas data analysis tool.

The FFmpeg multimedia framework is used to extract media files parameters, in frame-by-frame mode and in spectrogram visualization.

The Tablib Python module is used to export data in TSV, CSV, ODS, XLSX, HTML and XLS formats.

The portion Python module is used in the Advanced event filtering function.

The ExifRead Python module used to access pictures Exif data.

The pyreadr Python module is used to save data for R (optional).

The Graphviz graph visualization software is used (optional) to generate transitions graph.

The BORIS web site is made using Material for Mkdocs static site generator and supported by GitHub.