[ Bron: debian-science ]
Pakket: science-datamanagement (1.14.5)
Verwijzigingen voor science-datamanagement
Debian bronnen:
Het bronpakket debian-science downloaden:
Beheerders:
Externe bronnen:
- Homepage [wiki.debian.org]
Vergelijkbare pakketten:
Debian Science Data Management packages
This metapackage will install packages to assist with data management tasks, such as obtaining data from remote resources, keeping data under version control, etc.
Andere aan science-datamanagement gerelateerde pakketten
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- dep: science-config (= 1.14.5)
- Debian Science Project config package
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- dep: science-tasks (= 1.14.5)
- Debian Science tasks for tasksel
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- rec: datalad
- data files management and distribution platform
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- rec: datalad-container
- DataLad extension for working with containerized environments
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- rec: git-annex
- manage files with git, without checking their contents into git
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- rec: hdf5-filter-plugin
- external filters for HDF5: LZ4, BZip2, Bitshuffle
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- rec: hdf5-filter-plugin-blosc-serial
- blocking, shuffling and lossless compression library
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- rec: hdf5-filter-plugin-zfp-serial
- Compression plugin for the HDF5 library using ZFP compression
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- rec: nexus-tools
- NeXus scientific data file format - applications
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- rec: plfit
- fitting power-law distributions to empirical data -- interfaces
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- rec: python3-jdata
- JData encoder/decoder for python 3
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- rec: python3-mdp
- Modular toolkit for Data Processing
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- rec: python3-nxs
- NeXus scientific data file format - Python 3 binding
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- rec: python3-pyzoltan
- Wrapper for the Zoltan data management library
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- rec: virtuoso-opensource
- high-performance database
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- sug: libnexus-dev
- NeXus scientific data file format - development libraries
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- sug: libnexus-java
- NeXus scientific data file format - java libraries
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- sug: libplfit-dev
- fitting power-law distributions to empirical data -- development
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- sug: python3-openpyxl
- Python 3 module to read/write OpenXML xlsx/xlsm files
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- sug: python3-opentsne
- Pakket niet beschikbaar
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- sug: python3-plfit
- fitting power-law distributions to empirical data -- Python