======================= Announcing ViTables 1.0 ======================= We are proud to present you ViTables 1.0, the new member of the PyTables suite. It represents twenty months of intense development and testing effort. It's a graphical tool for browsing and editing files in both PyTables *and* HDF5 formats.
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 of 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, Linux), MacOS X and Windows. Finally, the fact that it runs on top of PyTables, ensures its speed and memory efficency. 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 files and nodes (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, once CSTables (the client-server version of PyTables that we are developing right now) will be out, ViTables will be able to manage remote PyTables/HDF5 files as if they were local ones. Platforms --------- At the moment, ViTables has been fully tested only on 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 should work just fine in other Unices. How to get it ------------- This is the first stable, commercial, version of ViTables. You can go to the ViTables home page: http://www.carabos.com/products/vitables.html to find directions on how to buy it. You will also find how to access to the evaluation version. For a better user experience, we have managed to create binary installers for Windows and MacOS X. The Unix version is installable using the 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 remains 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 --------------------- Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy Data with ViTables, the troll of the PyTables family! -- >0,0< Francesc Altet http://www.carabos.com/ V V Cárabos Coop. V. Enjoy Data "-" -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations.html
