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[ Pakiet źródłowy: debian-science  ]

Pakiet: science-datamanagement (1.15) [universe]

Odnośniki dla science-datamanagement

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Zasoby systemu Ubuntu:

Pobieranie pakietu źródłowego debian-science:

Opiekun:

Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.

Original Maintainers (usually from Debian):

It should generally not be necessary for users to contact the original maintainer.

Zasoby zewnętrzne:

Podobne pakiety:

Debian Science Data Management packages

Inne pakiety związane z science-datamanagement

  • wymaga
  • poleca
  • sugeruje
  • enhances
  • rec: datalad
    data files management and distribution platform
  • rec: datalad-container
    Pakiet niedostępny
  • rec: git-annex
    manage files with git, without checking their contents into git
  • rec: hdf5-filter-plugin
    external filters for HDF5: LZ4, BZip2
  • rec: hdf5-filter-plugin-blosc-serial
    blocking, shuffling and lossless compression library
  • rec: hdf5-filter-plugin-zfp-serial
    Compression plugin for the HDF5 library using ZFP compression
  • rec: nexus-tools
    NeXus scientific data file format - applications
  • rec: plfit
    fitting power-law distributions to empirical data -- interfaces
  • rec: python3-mdp
    Modular toolkit for Data Processing
  • rec: python3-nxs
    NeXus scientific data file format - Python 3 binding
  • rec: python3-pyzoltan
    Wrapper for the Zoltan data management library
  • rec: virtuoso-opensource
    high-performance database
  • rec: visidata
    rapidly explore columnar data in the terminal
  • sug: libnexus-dev
    NeXus scientific data file format - development libraries
  • sug: libnexus-java
    NeXus scientific data file format - java libraries
  • sug: libplfit-dev
    fitting power-law distributions to empirical data -- development
  • sug: python3-jdata
    Pakiet niedostępny
  • sug: python3-openpyxl
    Python 3 module to read/write OpenXML xlsx/xlsm files
  • sug: python3-opentsne
    t-Distributed Stochastic Neighbor Embedding algorithm
  • sug: python3-plfit
    fitting power-law distributions to empirical data -- Python

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