Hi people, we are very proud to finally release ViTables 1.2! After a long period of hard work, we at Carabos expect this new release to be a big step forward in terms of efficiency, stability and usability.
Of course, you are encouraged to buy ViTables, test it, use it, and spread the word. And now, the official announcement: ======================= Announcing ViTables 1.2 ======================= We are proud to present ViTables 1.2, the latest release of our viewer for PyTables/HDF5 files. 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. Finally, for a better user experience, we have created binary installers for Windows and Mac OS X. The Unix version is installable using Python distutils. In this release you will find some bug fixes and the following new features: - support for PyTables 2.0. - dependency on numarray package completely removed. Now the only numerical Python package required is NumPy. - table filtering supporting complex conditions (with any number of columns). Usability enhancements have been added too: - a new help system for table query and attribute edition dialogs. - single unified selection between workspace and tree viewer. - improved dialogs, new keyboard shortcuts and toolbar buttons Platforms --------- At the moment, ViTables has been fully tested only on GNU/Linux, Windows and MacOS X 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 ------------- Go to: http://www.carabos.com/buy to find directions on how to buy it. You can get it under a personal license or a site one. Remember that, when you buy a license, you are contributing to the liberation process of PyTables Pro and ViTables 1.2. See: http://www.carabos.com/liberation for details. Share your experience --------------------- We are very interested in your feedback about ViTables. Please send your opinions, suggestions, bugs, etc. to [EMAIL PROTECTED] Thank you! Enjoy Data with ViTables, the troll of the PyTables family! -- :: \ / Vicent Mas http://www.carabos.com 0;0 / \ Cárabos Coop. Enjoy Data V V " " ------------------------------------------------------------------------- This SF.net email is sponsored by: Splunk Inc. Still grepping through log files to find problems? Stop. Now Search log events and configuration files using AJAX and a browser. Download your FREE copy of Splunk now >> http://get.splunk.com/ _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
