========================= Announcing ViTables 3.0.0 ========================= After another long period retired from development activities I'm happy to come back and present ViTables 3.0.0, the latest release of this viewer for PyTables/HDF5 files. Definitely this release wouldn't have been possible without the invaluable help of a bunch of contributors so THANKS to all of them. As it happens with the entire PyTables family, the main strength of ViTables is its ability to manage really large datasets in a fast and comfortable manner. For example, with ViTables you can open a table with one thousand million rows in a few tenths of second, with very low memory requirements. Also important is the fact that it is designed to be a multiplatform application, i.e., it runs flawlessly in Unix (and hence, GNU/Linux), Mac OS X and Windows. The fact that it runs on top of PyTables ensures its speed and memory efficiency. This release doesn't contain lots of new functionalities. There are bug fixes, some usability enhancements and new plugins included. The big news is that it supports the latest Python, PyTables and PyQt versions so major version has moved from 2 to 3. Platforms --------- At the moment, ViTables has been fully tested only on GNU/Linux and Windows platforms, but as it is made on top of Python, PyQt and PyTables, its portability should be really good and it should work just fine in other Unices. How to get it ------------- Please, visit: http://vitables.org/Download and see what is available. Share your experience --------------------- I'm very interested in your feedback about ViTables. Please send your opinions, suggestions, bugs, etc. to the ViTables Users Group at http://tech.groups.yahoo.com/group/vitables-users. Thank you! Enjoy Data with ViTables, the troll of the PyTables family! -- Share what you know, learn what you don't