Hi List,

this is the official announce of the new release of ViTables. A new 
release of the evaluation version is available too.
Enjoy!



=======================
Announcing ViTables 1.1
=======================

We are proud to present ViTables 1.1, 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 millions 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), MacOS X and Windows. Finally, the fact that it runs
on top of PyTables ensures its speed and memory efficiency.

In this release you will find, among others, the following features:

 - Display data hierarchy as a fully browsable object tree.
 - Open several files simultaneously.
 - Reorganize your existing files in a graphical way.
 - Display file and node (group or leaf) properties, including
   metadata and attributes.
 - Display heterogeneous entities, i.e. tables.
 - Display homogeneous (numeric or textual) entities, i.e. arrays.
 - Unlimited zoom into multidimensional table cells.
 - Editing capabilities for nodes and attributes: creation/deletion,
   copy/paste, rename...
 - Table filtering by issuing simple conditions.
 - Fully integrated documentation browser.

Moreover, lots of usability enhancements have been added since the last
release, among them the ability to open files by dragging them into the
application window, enhanced contextual menus, more featured toolbars,
etc.

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/products/vitables

to find directions on how to buy it. You will also find how to access
the evaluation version. For a better user experience, we have created
binary installers for Windows and MacOS X. The Unix version is
installable using Python distutils.

Legal notice
------------

Please remember that this is commercial software. The evaluation
version is made publically available so that you can test it, but the
terms of the license remain the same in both cases. Basically this means
that the software or its modifications cannot be distributed to anybody
in any way without Carabos' explicit permission. See the LICENSE file
for detailed information.

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
         " "

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