Tiny RML2PDF is a component of the Open Report project. It can be used with the
Tiny Reporting Server to have a complete solution to render PDF file on the
fly.
This module implements a simple batching mechanism that allows you to split
a large sequence into smaller batches.
Open Inventor(TM) is an object-oriented 3D toolkit offering a comprehensive
solution to interactive graphics programming problems. It presents a
programming model based on a 3D scene database that dramatically simplifies
graphics programming. It includes a rich set of objects such as cubes,
polygons, text, materials, cameras, lights, trackballs, handle boxes,
3D viewers, and editors that speed up your programming time and extend
your 3D programming capabilities.
Open Inventor:
- is built on top of OpenGL (R)
- defines a standard file format for 3D data interchange
- introduces a simple event model for 3D interaction
- provides animation objects called Engines
- provides high performance object picking
- is window system and platform independent
- is a cross-platform 3D graphics development system
- supports PostScript printing
- encourages programmers to create new customized objects
- is fun to use
Welcome to Rundeck, the human interface to your operations. Rundeck
features fine-grain access controls, a built-in job scheduler, and the
ability to define workflows that dispatch commands and scripts to your
nodes.
LAPACK++ (Linear Algebra PACKage in C++) is a software library for numerical
linear algebra that solves systems of linear equations and eigenvalue
problems on high performance computer architectures.
Computational support is provided for supports various matrix classes for
vectors, non-symmetric matrices, SPD matrices, symmetric matrices, banded,
triangular, and tridiagonal matrices; however, it does not include all
of the capabilities of original f77 LAPACK. Emphasis is given to routines
for solving linear systems consisting of non-symmetric matrices,
symmetric positive definite systems, and solving linear least-square systems.
The "Statistics::Contingency" class helps you calculate several useful
statistical measures based on 2x2 "contingency tables". I use these measures
to help judge the results of automatic text categorization experiments, but
they are useful in other situations as well.
The general usage flow is to tally a whole bunch of results in the
"Statistics::Contingency" object, then query that object to obtain the
measures you are interested in. When all results have been collected, you
can get a report on accuracy, precision, recall, F1, and so on, with both
macro-averaging and micro-averaging over categories.
Automatically include ZCML.
Caching infrastructure for web apps.
An advanced form and widget framework for Zope 3.