Ubuntu
stimfit package

stimfit 0.14.11-1 source package in Ubuntu

Changelog

stimfit (0.14.11-1) unstable; urgency=low

  * Improve usability of stfio_plot.Timeseries
  * Debian build fixes bug #804592

 -- Christoph Schmidt-Hieber <email address hidden>  Wed, 18 Nov 2015 09:52:53 +0000

Upload details

Uploaded by:
Christoph Schmidt-Hieber
Uploaded to:
Sid
Original maintainer:
Christoph Schmidt-Hieber
Architectures:
any
Section:
science
Urgency:
Low Urgency

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Downloads

File Size SHA-256 Checksum
stimfit_0.14.11-1.dsc 2.2 KiB 69e42ee15f6d630271bd641f0f4b5dadd1f7b066b8886c479b6b59a767d04586
stimfit_0.14.11.orig.tar.gz 2.2 MiB f415045551d47ed6c37fa3a5647b0bd38fdc6d3ec9ba7de9d052c372959c9020
stimfit_0.14.11-1.debian.tar.xz 7.9 KiB 38875fb54e2f294dcbce579ae694a5b6223ee5356f3c284779f5389c5d12518f

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Binary packages built by this source

python-stfio: Python module to read common electrophysiology file formats.

 The stfio module allows you to read common electrophysiology file formats
 from Python. Axon binaries (abf), Axon text (atf), HEKA (dat),
 CFS (dat/cfs), Axograph (axgd/axgx) are currently supported.

stimfit: Program for viewing and analyzing electrophysiological data

 Stimfit is a free, fast and simple program for viewing and analyzing
 electrophysiological data. It features an embedded Python shell that
 allows you to extend the program functionality by using numerical
 libraries such as NumPy and SciPy.

stimfit-dbg: Debug symbols for stimfit

 Stimfit is a free, fast and simple program for viewing and analyzing
 electrophysiological data. It features an embedded Python shell that
 allows you to extend the program functionality by using numerical
 libraries such as NumPy and SciPy. This package contains the debug
 symbols for Stimfit.

stimfit-dbgsym: debug symbols for package stimfit

 Stimfit is a free, fast and simple program for viewing and analyzing
 electrophysiological data. It features an embedded Python shell that
 allows you to extend the program functionality by using numerical
 libraries such as NumPy and SciPy.