ViTables is a graphical browser for HDF5 and PyTables databases. It can open arbitrarily large files and browse their data and metadata in a variety of ways. Its capabilities include easy navigation through the data hierarchy, displaying of real data and its associated metadata, and simple yet powerful browsing of multidimensional data.
|Tags||HDF5 scientific visualization front-end|
|Operating Systems||Linux Windows Mac OS X|
The ViTables project is now hosted at GitHub. The initial hosting site, BerliOS, will be closed next December :-( Thanks to all the BerliOS team for its great job!
Release Notes: Requires Python 2.6 or 2.7 and the latest versions of PyTables and PyQt4. A number of bugs have been fixed and lots of things have changed under the hood: there is a plugins framework, improved memory efficiency, and docs built with Sphinx, and the migration path to Python 3 has been started. Some nice functionality has been added: support for PyTables tables via scikits.timeseries, human friendly formatting of timeseries, export/import CSV capabilities, and more.