Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1684796
MD5	0989E7073BCA865951FAFB1FF13D0D4A
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-neo
PackageSection	python
PackageVersion	0.9.0-1
SHA-1	D33919BD6CC0DE591F896EFCA258B3E72A18D25E
SHA-256	91FF0DEEE5B8CE485191BB53D98D0622FB4B64C69569D757A323167F6A8643F7

Key	Value
MD5	23503BF7128EE4A00C8B4D65B6FE1531
PackageArch	noarch
PackageDescription	Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5. The goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data (such as OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization. Neo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neos data objects build on the quantities_ package, which in turn builds on NumPy by adding support for physical dimensions. Thus neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion. Read the documentation at http://neo.readthedocs.io/
PackageMaintainer	Fedora Project
PackageName	python3-neo
PackageRelease	2.fc34
PackageVersion	0.9.0
SHA-1	FD79236AED626C046F27C2A002387F60986F52A0
SHA-256	9C9FDB43B87A0E78A4A333D2EBE15D78D1C1262A410C3DF8257380560EC89F70

Key	Value
FileSize	2018996
MD5	D0D0EABC5E2BC90012140817977E9796
PackageDescription	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.
PackageMaintainer	Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageName	python3-neo
PackageSection	python
PackageVersion	0.9.0-1
SHA-1	3B8537B73A8754925D58CDC49A4CECB7BE7817CB
SHA-256	47EC2A2082CCB5A5FB0A5C31C620F23B6A564A96D55444FC8CBC030C4D9916AD