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RPM: libhdf
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A versão atual: 4.1r5-alt3
Data da compilação: 1 dezembro 2003, 12:36 ( 1066.2 weeks ago )
Tamanho:: 3.37 Mb
Home page: http://hdf.ncsa.uiuc.edu
Licença: BSD-like
Sumário: Hierarchical Data Format (HDF)
Descrição:
Lista dos contribuidores Lista dos rpms provida por esta srpm:
ACL:
Data da compilação: 1 dezembro 2003, 12:36 ( 1066.2 weeks ago )
Tamanho:: 3.37 Mb
Home page: http://hdf.ncsa.uiuc.edu
Licença: BSD-like
Sumário: Hierarchical Data Format (HDF)
Descrição:
HDF stands for Hierarchical Data Format. It is a library and multi-object
file format for the transfer of graphical and numerical data between
machines. It is freely available.
Features of the HDF File Format:
+ It is versatile. HDF supports several different data models. Each
data model defines a specific aggregate data type and provides an
API for reading, writing, and organizing data and metadata of the
corresponding type. Data models supported include multidimensional
arrays, raster images, and tables.
+ It is self-describing, allowing an application to interpret the
structure and contents of a file without any outside information.
+ It is flexible. With HDF, you can mix and match related objects
together in one file and then access them as a group or as individual
objects. Users can also create their own grouping structures using an
HDF feature called vgroups.
+ It is extensible. It can easily accommodate new data models,
regardless of whether they are added by the HDF development team or
by HDF users.
+ It is portable. HDF files can be shared across most common platforms,
including many workstations and high performance computers. An HDF
file created on one computer can be read on a different system without
modification.
Mantenedor currente: Yury A. Zotov file format for the transfer of graphical and numerical data between
machines. It is freely available.
Features of the HDF File Format:
+ It is versatile. HDF supports several different data models. Each
data model defines a specific aggregate data type and provides an
API for reading, writing, and organizing data and metadata of the
corresponding type. Data models supported include multidimensional
arrays, raster images, and tables.
+ It is self-describing, allowing an application to interpret the
structure and contents of a file without any outside information.
+ It is flexible. With HDF, you can mix and match related objects
together in one file and then access them as a group or as individual
objects. Users can also create their own grouping structures using an
HDF feature called vgroups.
+ It is extensible. It can easily accommodate new data models,
regardless of whether they are added by the HDF development team or
by HDF users.
+ It is portable. HDF files can be shared across most common platforms,
including many workstations and high performance computers. An HDF
file created on one computer can be read on a different system without
modification.
Lista dos contribuidores Lista dos rpms provida por esta srpm:
- libhdf
- libhdf-devel