Metadata-Version: 2.1
Name: thunderfish
Version: 1.9.4
Summary: Algorithms and scripts for analyzing recordings of electric fish waveforms.
Home-page: https://github.com/bendalab/thunderfish
Author: Jan Benda, Juan F. Sehuanes, Till Raab, Jörg Henninger, Jan Grewe, Fabian Sinz, Liz Weerdmeester
Author-email: jan.benda@uni-tuebingen.de
License: GPLv3
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.4
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: sklearn
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: audioio


# ThunderFish

Algorithms and programs for analysing electric field recordings of
weakly electric fish.

[Documentation](https://bendalab.github.io/thunderfish) |
[API Reference](https://bendalab.github.io/thunderfish/api)

Weakly electric fish generate an electric organ discharge (EOD).  In
wave-type fish the EOD resembles a sinewave of a specific frequency
and with higher harmonics. In pulse-type fish EODs have a distinct
waveform and are separated in time. The thunderfish package provides
algorithms and tools for analysing both wavefish and pulsefish EODs.


