Source: neo Standards-Version: 4.7.4 Maintainer: Debian Med Packaging Team Uploaders: Michael Hanke , Yaroslav Halchenko , Étienne Mollier , Section: science Testsuite: autopkgtest-pkg-pybuild Build-Depends: debhelper-compat (= 14), dh-sequence-single-binary, dh-sequence-python3, git , ipython3, pybuild-plugin-pyproject, python3-all, python3-dateutil , python3-h5py , python3-igor2 (>= 0.5.9-3) , python3-joblib , python3-matplotlib , python3-nixio , python3-pynwb , python3-numpy, python3-pickleshare, python3-pil , python3-pydata-sphinx-theme, python3-pytest, python3-quantities (>= 0.16.4~), python3-scipy , python3-tqdm , python3-setuptools, python3-sphinx, python3-sphinx-design, python3-sphinx-inline-tabs, # python3-ipython , # python3-datalad , # leads to ungraceful test error due to network block Vcs-Browser: https://salsa.debian.org/med-team/neo Vcs-Git: https://salsa.debian.org/med-team/neo.git Homepage: https://neuralensemble.org/neo Package: python3-neo Architecture: all Section: python Depends: python3-numpy, python3-quantities (>= 0.16.4~), ${misc:Depends}, ${python3:Depends}, Recommends: libjs-jquery, libjs-underscore, python3-dateutil, python3-h5py, python3-nixio, python3-pynwb, python3-joblib, python3-pil, python3-scipy, python3-tables, python3-tqdm, Suggests: python3-igor2, python3-datalad, python3-matplotlib, Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement.