Ubuntu
silx package

silx 1.0.0+dfsg-4 source package in Ubuntu

Changelog

silx (1.0.0+dfsg-4) unstable; urgency=medium

  * Team Upload.
  * d/salsa-ci.yml: Disable reprotest
  * d/t/control: Skip testing on i386

 -- Nilesh Patra <email address hidden>  Mon, 14 Mar 2022 12:56:01 +0530

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Jammy release universe misc

Downloads

File Size SHA-256 Checksum
silx_1.0.0+dfsg-4.dsc 2.7 KiB 984683976e8c1b51aa331dc364dfd972b41e18618625754c2c490ed417dc1e27
silx_1.0.0+dfsg.orig.tar.xz 11.6 MiB ae4b304f6ae3df698ab9ed0fb6d24cf053b165b0c7ee679ef2eec805a98c4584
silx_1.0.0+dfsg-4.debian.tar.xz 13.5 KiB 2851accfe8485e43915aa6dea68ca25d0c4948a5d2130a3a874b4823bce97ed2

No changes file available.

Binary packages built by this source

python-silx-doc: Toolbox for X-Ray data analysis - Documentation

 The silx project aims at providing a collection of Python packages to
 support the development of data assessment, reduction and analysis
 applications at synchrotron radiation facilities. It aims at
 providing reading/writing different file formats, data reduction
 routines and a set of Qt widgets to browse and visualize data.
 .
 The current version provides :
 .
  * reading HDF5 file format (with support of SPEC file format)
  * histogramming
  * fitting
  * 1D and 2D visualization using multiple backends (matplotlib or OpenGL)
  * image plot widget with a set of associated tools (See changelog file).
  * Unified browser for HDF5, SPEC and image file formats supporting inspection
    and visualization of n-dimensional datasets.
  * Unified viewer (silx view filename) for HDF5, SPEC and image file formats
  * OpenGL-based widget to display 3D scalar field with
    isosurface and cutting plane.
 .
 This is the common documentation package.

python3-silx: Toolbox for X-Ray data analysis - Python3

 The silx project aims at providing a collection of Python packages to
 support the development of data assessment, reduction and analysis
 applications at synchrotron radiation facilities. It aims at
 providing reading/writing different file formats, data reduction
 routines and a set of Qt widgets to browse and visualize data.
 .
 The current version provides :
 .
  * reading HDF5 file format (with support of SPEC file format)
  * histogramming
  * fitting
  * 1D and 2D visualization using multiple backends (matplotlib or OpenGL)
  * image plot widget with a set of associated tools (See changelog file).
  * Unified browser for HDF5, SPEC and image file formats supporting inspection
    and visualization of n-dimensional datasets.
  * Unified viewer (silx view filename) for HDF5, SPEC and image file formats
  * OpenGL-based widget to display 3D scalar field with
    isosurface and cutting plane.
 .
 This is the Python 3 version of the package.

python3-silx-dbgsym: No summary available for python3-silx-dbgsym in ubuntu kinetic.

No description available for python3-silx-dbgsym in ubuntu kinetic.

silx: Toolbox for X-Ray data analysis - Executables

 The silx project aims at providing a collection of Python packages to
 support the development of data assessment, reduction and analysis
 applications at synchrotron radiation facilities. It aims at
 providing reading/writing different file formats, data reduction
 routines and a set of Qt widgets to browse and visualize data.
 .
 The current version provides :
 .
  * reading HDF5 file format (with support of SPEC file format)
  * histogramming
  * fitting
  * 1D and 2D visualization using multiple backends (matplotlib or OpenGL)
  * image plot widget with a set of associated tools (See changelog file).
  * Unified browser for HDF5, SPEC and image file formats supporting inspection
    and visualization of n-dimensional datasets.
  * Unified viewer (silx view filename) for HDF5, SPEC and image file formats
  * OpenGL-based widget to display 3D scalar field with
    isosurface and cutting plane.
 .
 This uses the Python 3 version of the package.