[SciPy-dev] ANN: EPD - Enthought Python Distribution released
Mon Apr 21 18:59:24 CDT 2008
Enthought is pleased to announce the release of the Enthought Python
Distribution (EPD) version 2.5.2001.
This release makes available both the RedHat 3.x (amd64) and Windows
XP (x86) installers. OS X, Ubuntu and more (modern) RHEL versions are
The Enthought Python Distribution is a "kitchen-sink-included"
distribution of the Python Programming Language as well as over 60
additional tools and libraries. It includes NumPy, SciPy, IPython, 2D
and 3D visualization, database adapters and a lot of other tools right
out of the box. Enthought is offering access to this bundle as a free
service to academic and other non-profit organizations. We also offer
an annual fee-based subscription service for Commercial and
Governmental users to download and update the software bundle.
(Everyone may try it out for free. Please see the License Information
A short list includes:
Python 2.5.2, NumPy, SciPy, Traits, Mayavi, Chaco, Kiva, Enable,
Matplotlib, wxPython and VTK.
The complete list of software with version numbers is available here:
EPD is a bundle of software, every piece of which is available
separately for free under various open-source licenses. Not-for-
profit, private-sector access to the bundle and its updates is, and
will remain, free under the terms of the Subscription Agreement (see http://www.enthought.com/products/epdlicense.php
). Commercial and Governmental users may try the bundle for free
for 30 days. After the trial period, users may purchase a one-year
subscription to download and update the bundle. Downloaded software
obtained under the subscription agreement may be used by the
subscriber in perpetuity.
This model should sound familiar, as our commercial offering is quite
similar to the business model of a certain linux distributor. More
information is also available in the FAQ ( http://www.enthought.com/products/epdfaq.php
). For larger deployments, or those with special build or
distribution needs, an Enterprise Subscription is also available.
EPD is compelling because it solves a thorny packaging and
distribution problem, but also because of the libraries which it
includes. The folks here at Enthought would like to thank the Python
developer community and the wider community that authors and
contributes to these included libraries. We put these things to work
every day and would be much less productive without them. So, thanks!
More information about the Scipy-dev