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+Metadata-Version: 1.1
+Name: silx
+Version: 0.6.1
+Summary: Software library for X-Ray data analysis
+Home-page: http://www.silx.org/
+Author: data analysis unit
+Author-email: silx@esrf.fr
+License: UNKNOWN
+Description: 
+        silx toolkit
+        ============
+        
+        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 <https://www.hdfgroup.org/HDF5/>`_  file format (with support of
+          `SPEC <https://certif.com/spec.html>`_ file format and
+          `FabIO <http://www.silx.org/doc/fabio/dev/getting_started.html#list-of-file-formats-that-fabio-can-read-and-write>`_
+          images)
+        * histogramming
+        * fitting
+        * 1D and 2D visualization widgets using multiple backends (matplotlib or OpenGL)
+        * an OpenGL-based widget to display 3D scalar field with isosurface and cutting plane
+        * an image plot widget with a set of associated tools
+        * a unified browser for HDF5, SPEC and image file formats supporting inspection and
+          visualization of n-dimensional datasets.
+        * a unified viewer (*silx view filename*) for HDF5, SPEC and image file formats
+        * a unified converter to HDF5 format (*silx convert filename*)
+        * median filters on images (C and OpenCL implementations)
+        * image alignement (sift - OpenCL implementation)
+        * filtered backprojection and forward projection for tomography
+        
+        Installation
+        ------------
+        
+        To install silx, run::
+         
+            pip install silx
+            
+        Or with Anaconda on Linux and MacOS::
+            
+            conda install silx -c conda-forge
+        
+        To install silx locally, run::
+         
+            pip install silx --user
+        
+        Unofficial packages for different distributions are available :
+        
+        - Unofficial Debian8 packages are available at http://www.silx.org/pub/debian/
+        - CentOS 7 rpm packages are provided by Max IV at the following url: http://pubrepo.maxiv.lu.se/rpm/el7/x86_64/
+        - Fedora 23 rpm packages are provided by Max IV at http://pubrepo.maxiv.lu.se/rpm/fc23/x86_64/
+        - Arch Linux (AUR) packages are also available: https://aur.archlinux.org/packages/python-silx
+        
+        Beside this, we provide a certain number of wheels (pre-compiled binary packages) to be installed
+        onto a pre-existing Python installation:
+        
+        - On Windows, binary wheels are available for Python 2.7, 3.5 and 3.6.
+        - On MacOS, binary wheels are available for Python 2.7, 3.5 and 3.6.
+        - On Linux, manylinux1 binary wheels are available for Python 2.7, 3.4, 3.5 and 3.6.
+        
+        Those builds are made from "up-date" systems at the time of the release, i.e. they use
+        the latest stable version of numpy (and cython). 
+        Hence your system should use a fairly recent version of numpy to be compatible with silx.
+        This can be achieved simply by::
+        
+            pip install numpy --upgrade
+        
+        
+        The latest development version can be obtained from the git repository::
+        
+            git clone https://github.com/silx-kit/silx.git
+            cd silx
+            pip install . [--user]
+        
+        Dependencies
+        ------------
+        
+        * `Python <https://www.python.org/>`_ 2.7, 3.4 or above.
+        * `numpy <http://www.numpy.org>`_
+        
+        The GUI widgets of the silx package depend on the following extra packages:
+        
+        * A Qt binding: `PyQt5, PyQt4 <https://riverbankcomputing.com/software/pyqt/intro>`_ (using API version 2) or `PySide <https://pypi.python.org/pypi/PySide/>`_
+        * `matplotlib <http://matplotlib.org/>`_ for the silx.gui.plot package
+        * `PyOpenGL <http://pyopengl.sourceforge.net/>`_ for the silx.gui.plot3d package
+        
+        Most modules and functions dealing with `HDF5 <https://www.hdfgroup.org/HDF5/>`_ input/output depend on:
+        
+        * `h5py <http://www.h5py.org/>`_
+        
+        Parallel algorithms depend on:
+        
+        * `PyOpenCL <https://documen.tician.de/pyopencl/>`_
+        
+        The console widgets depend on:
+        
+        * `ipython <https://ipython.org/>`_
+        * `qtconsole <https://pypi.python.org/pypi/qtconsole>`_
+        
+        
+        Supported platforms: Linux, Windows, Mac OS X.
+        
+        Documentation
+        -------------
+        
+        Documentation of latest release is available at http://www.silx.org/doc/silx/latest/
+        
+        Documentation of previous releases and nightly build is available at http://www.silx.org/doc/silx/
+        
+        To build the documentation from the source (requires `Sphinx <http://www.sphinx-doc.org>`_), run::
+        
+            python setup.py build build_doc
+        
+        Testing
+        -------
+        
+        - Travis CI status: |Travis Status|
+        - Appveyor CI status: |Appveyor Status|
+        
+        To run the tests from the python interpreter, run:
+        
+        >>> import silx.test
+        >>> silx.test.run_tests()
+        
+        To run the tests, from the source directory, run::
+        
+            python run_tests.py
+        
+        Examples
+        --------
+        
+        Some examples of sample code using silx are provided with the
+        `silx documentation <http://www.silx.org/doc/silx/dev/sample_code/index.html>`_.
+        
+        
+        License
+        -------
+        
+        The source code of silx is licensed under the MIT license.
+        See the `LICENSE <https://github.com/silx-kit/silx/blob/master/LICENSE>`_ and `copyright <https://github.com/silx-kit/silx/blob/master/copyright>`_ files for details.
+        
+        Citation
+        --------
+        
+        silx releases can be cited by their DOI on Zenodo: |zenodo DOI|
+        
+        .. |Travis Status| image:: https://travis-ci.org/silx-kit/silx.svg?branch=master
+           :target: https://travis-ci.org/silx-kit/silx
+        .. |Appveyor Status| image:: https://ci.appveyor.com/api/projects/status/qgox9ei0wxwfagrb/branch/master?svg=true
+           :target: https://ci.appveyor.com/project/ESRF/silx
+        .. |zenodo DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.591709.svg
+           :target: https://doi.org/10.5281/zenodo.591709
+        
+Platform: UNKNOWN
+Classifier: Development Status :: 4 - Beta
+Classifier: Environment :: Console
+Classifier: Environment :: MacOS X
+Classifier: Environment :: Win32 (MS Windows)
+Classifier: Environment :: X11 Applications :: Qt
+Classifier: Intended Audience :: Education
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Natural Language :: English
+Classifier: Operating System :: MacOS
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Operating System :: POSIX
+Classifier: Programming Language :: Cython
+Classifier: Programming Language :: Python :: 2.7
+Classifier: Programming Language :: Python :: 3.4
+Classifier: Programming Language :: Python :: 3.5
+Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Topic :: Scientific/Engineering :: Physics
+Classifier: Topic :: Software Development :: Libraries :: Python Modules