ViTables, a GUI for PyTables
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uvemas Merge pull request #87 from laborleben/fix_earray
Fixing #86 (showing large EArrays)
Latest commit b064ad7 Oct 20, 2017
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doc Sphinx configuration file has been updated. Jun 2, 2017
examples Added basic support for filenodes. Sep 21, 2017
macosxapp Copyright version and release version have been updated. May 6, 2017
mswindows Copyright version and release version have been updated. May 6, 2017
tests Added tests for the filenode support. Sep 25, 2017
vitables Support for multi-dim EArrays Oct 20, 2017
.gitignore Added basic support for filenodes. Sep 21, 2017
.projectile Move logger to dock widget. May 30, 2014
ANNOUNCE.txt The plugins system has been slightly refactored and simplified. Jun 6, 2017
ChangeLog.txt Added tests for the filenode support. Sep 25, 2017
INSTALL.txt The conda environment and some text files have been updated. Jun 30, 2017
LICENSE.txt Copyright version and release version have been updated. May 6, 2017
MANIFEST.in Last minute changes prior to publishing May 27, 2017
README.txt The conda environment and some text files have been updated. Jun 30, 2017
TODO.txt fix typo Sep 12, 2014
VERSION Last minute changes prior to publishing May 27, 2017
environment.yml The conda environment and some text files have been updated. Jun 30, 2017
requirements.txt Packaging related files have been updated. May 24, 2017
setup.py Import/export CSV capabilities have been integrated in the ViTables c… Jul 17, 2017
vitables.pro Translations have been updated. Nov 6, 2014
vitables_ca_ES.ts Copyright version and release version have been updated. May 6, 2017
vitables_es_ES.ts Copyright version and release version have been updated. May 6, 2017
vitables_ru_RU.ts Copyright version and release version have been updated. May 6, 2017

README.txt

ViTables
--------
ViTables is a graphical tool for browsing and editing files in both PyTables
and HDF5 format. With ViTables you can easily navigate through the data
hierarchy, view and modify metadata, view actual data and more.

ViTables has been developed using Python and PyQt, a binding to Qt
libraries, so it should run on any platform that support these components
(this includes Windows, Mac OS X, Linux and many other Unices). The interface
and features are the same in all platforms. At the moment, ViTables has been
heavily tested on Linux and Windows platforms.

For installation instructions see INSTALL.txt.

Feel free to subscribe to the ViTables users group [1]_ and to report bugs and
send suggestions or features requests.

 .. _[1]: https://groups.google.com/forum/#!forum/vitables-users