silx 2.0.1+dfsg-3ubuntu1 source package in Ubuntu
Changelog
silx (2.0.1+dfsg-3ubuntu1) oracular; urgency=medium * d/p/0010-SpecFile-deallocation-issue.patch: Fix an issue with pytest runner segfaulting with Pytest 8.2+ (LP: #2068521). -- Chris Peterson <email address hidden> Wed, 05 Jun 2024 12:21:45 -0700
Upload details
- Uploaded by:
- Chris Peterson
- Sponsored by:
- Michael Hudson-Doyle
- Uploaded to:
- Oracular
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
silx_2.0.1+dfsg.orig.tar.xz | 16.5 MiB | 1f7ba6414ebca18c5de09afc8558ba1923c1192827fa8fd6ba02816250fd091e |
silx_2.0.1+dfsg-3ubuntu1.debian.tar.xz | 15.0 KiB | 37a68532ccd29d3b7a1b716b4691664b6614ddbd0ff07fb6c9778c5724145ea3 |
silx_2.0.1+dfsg-3ubuntu1.dsc | 3.0 KiB | dbc7df70b52f23e7f2706101724fc412c460df8e8a24413e836a840dcf3f2ecc |
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.