Package: python3-hdmf
Source: hdmf
Version: 1.1.2-1~nd110+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 392
Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any, python3-certifi, python3-chardet, python3-idna, python3-urllib3
Homepage: https://github.com/hdmf-dev/hdmf
Priority: optional
Section: python
Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd110+1_all.deb
Size: 63672
SHA256: ae1c5f98e5e75b469c43f879721ab57561b69b14086575b455bebafff545caf4
SHA1: b0629cd131b4672d0f7c2d072f9e7215a462ca62
MD5sum: 64e5974e6b2358f9b349259f637437e5
Description: Hierarchical Data Modeling Framework
 The Hierarchical Data Modeling Framework (HDMF) is a Python package
 for working with hierarchical data.  It provides APIs for specifying
 data models, reading and writing data to different storage backends,
 and representing data with Python object.

Package: python3-pynwb
Source: pynwb
Version: 1.0.3-1~nd110+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 424
Depends: neurodebian-popularity-contest, python3-chardet, python3-dateutil, python3-h5py (>= 2.7.1), python3-hdmf, python3-numpy, python3-pandas, python3-ruamel.yaml, python3-six, python3:any
Homepage: https://github.com/NeurodataWithoutBorders/pynwb
Priority: optional
Section: python
Filename: pool/main/p/pynwb/python3-pynwb_1.0.3-1~nd110+1_all.deb
Size: 60480
SHA256: 0bfbc0e279e515a0ce05da671d3f5c2cbebddcc4f26d91f2b5d31c5d6eb55c75
SHA1: c2a15401e2a757cd6d9f802532f7ed53af6df4bf
MD5sum: f124f2fbebd81f8c8c69dca1a32a1d95
Description: Python library for working with Neurodata in the NWB format
 PyNWB is a Python package for working with NWB files. It provides a
 high-level API for efficiently working with Neurodata stored in the
 NWB format.
 .
 Neurodata Without Borders: Neurophysiology (NWB:N) is a project to
 develop a unified data format for cellular-based neurophysiology
 data, focused on the dynamics of groups of neurons measured under a
 large range of experimental conditions.