We're happy to announce the release 1.2.2 of ViTables, the GUI for the PyTables and PyTables Pro packages.
The current release focuses on fixing usability issues and bugs. It also gives support for larger datasets (up to 2**64 rows). You can see the change log for details:
If you are curious about how it looks like just watch the first introductory video:
Once more, you are encouraged to buy ViTables, test it, use it, and spread the word.
And now, the official announcement:
========================= Announcing ViTables 1.2.2 =========================
We are proud to present ViTables 1.2.2, 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 several thousand million rows almost instantaneously, and throw queries on it that run in typically less than a few tenths of second (if PyTables Pro is behind it) with very low memory requirements. The fact that it runs on top of PyTables ensures its speed and memory efficiency. Being a multiplatform application, ViTables runs flawlessly in Unix (and hence, GNU/Linux), Mac OS X and Windows. 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 usability enhancements, among them:
- capability for navigating datasets whith even 2**64 rows - enhanced displaying of datasets - Spanish translation added
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 -------------
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. See:
Share your experience ---------------------
We are very interested in your feedback about ViTables. Please send your opinions, suggestions, bugs, etc. to email@example.com. Thank you!
Enjoy Data with ViTables, the troll of the PyTables family!