This is a partial list of projects using Boost.Python. If you are
using Boost.Python as your Python/C++ binding solution, we'd be proud to
list your project on this page. Just post a short description of your project
and how Boost.Python helps you get the job done, and we'll add it to
.
- TSLib - Fortress
Investment Group LLC
-
Fortress Investment Group has contracted Boost Consulting to develop
core internal financial analysis tools in C++ and to prepare Python
bindings for them using Boost.Python.
Tom Barket of Fortress writes:
We have a large C++ analytical library specialized for research
in finance and economics, built for speed and mission critical
stability. Yet Python offers us the flexibility to test out new
ideas quickly and increase the productivity of our time versus
working in C++. There are several key features which make Python
stand out. Its elegance, stability, and breadth of resources on the
web are all valuable, but the most important is its extensibility,
due to its open source transparency. Boost.Python makes Python
extensibility extremely simple and straightforward, yet preserves a
great deal of power and control.
- EMSolve
- EMSolve is a provably stable, charge conserving, and energy
conserving solver for Maxwell's equations.
- OpenSceneGraph
- Gideon May has created a
set of bindings for OpenSceneGraph, a cross-platform C++/OpenGL library
for the real-time visualization. You can read the release announcement
at www.hypereyes.com. Contact Gideon for more
information.
- PythonMagick
- PythonMagick binds the ImageMagick image manipulation library
to Python.
- OpenWBEM
-
The OpenWBEM project is an effort to develop an open-source
implementation of Web Based Enterprise Management suitable for
commercial and non-commercial application
Dan Nuffer writes:
I'm using Boost.Python to wrap the client API of OpenWBEM.This
will make it easier to do rapid prototyping, testing, and scripting
when developing management solutions that use WBEM.
- CAMFR
-
CAMFR is a photonics and electromagnetics modelling tool. Python is
used for computational steering.
Peter Bienstman
writes:
Thanks for providing such a great tool!
- HippoDraw - Stanford
Linear Accelerator Center
-
HippoDraw is a data analysis environment consisting of a canvas upon
which graphs such as histograms, scattter plots, etc, are prsented.
It has a highly interactive GUI interface, but some things you need
to do with scripts. HippoDraw can be run as Python extension module
so that all the manipulation can be done from either Python or the
GUI.
Paul F. Kunz
writes:
Don't have a web page for the project, but the organization's is
http://www.slac.stanford.edu
(the first web server site in America, I installed it).
Which was just too cool a piece of trivia to omit.
- cctbx - Computational Crystallography Toolbox
-
Computational Crystallography is concerned with the derivation
of atomic models of crystal structures, given experimental
X-ray diffraction data. The cctbx is an open-source library of
fundamental algorithms for crystallographic computations. The
core algorithms are implemented in C++ and accessed through
higher-level Python interfaces. The cctbx grew together
with Boost.Python and is designed from the ground up as
a hybrid Python/C++ system. With one minor exception,
run-time polymorphism is completely handled by Python. C++
compile-time polymorphism is used to implement performance
critical algorithms. The Python and C++ layers are seamlessly
integrated using Boost.Python.
The SourceForge cctbx project is organized in modules to
facilitate use in non-crystallographic applications.
The scitbx module implements a general purpose
array family for scientific applications and pure C++
ports of FFTPACK and the LBFGS conjugate gradient
minimizer.
