silx 2.1.0+dfsg-1ubuntu1 source package in Ubuntu
Changelog
silx (2.1.0+dfsg-1ubuntu1) oracular; urgency=low * Merge from Debian unstable. Remaining changes: - d/p/0010-SpecFile-deallocation-issue.patch: Fix an issue with pytest runner segfaulting with Pytest 8.2+. -- Gianfranco Costamagna <email address hidden> Tue, 02 Jul 2024 13:23:49 +0200
Upload details
- Uploaded by:
- Gianfranco Costamagna
- Uploaded to:
- Oracular
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
silx_2.1.0+dfsg.orig.tar.xz | 16.5 MiB | ccb337d4e52e63ff21689142c67985e16003bd94bee1ecc349299c1dd4fc511f |
silx_2.1.0+dfsg-1ubuntu1.debian.tar.xz | 154.4 KiB | 422d22b142a1759bba02b950b249e970de4f62799c5da17fc18875196885992d |
silx_2.1.0+dfsg-1ubuntu1.dsc | 3.2 KiB | 0b5b7284ea2ab4a8d2807cbccb81ae37e553b3115f915c2d34995d84989a5dc4 |
Available diffs
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: debug symbols for python3-silx
- 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.