The Large Synoptic Survey Telescope (LSST) is a project to build an 8.4m telescope at Cerro Pachon, Chile and survey the entire sky every three days starting around 2014. The scientific goals of the project range from characterizing the population of largish asteroids which are in orbits that could hit the Earth to understanding the nature of the dark energy that is causing the Universe's expansion to accelerate. The application codes, which handle the images coming from the telescope and generate catalogs of astronomical sources, are being implemented in C++, exported to python using swig. The pipeline processing framework allows these python modules to be connected together to process data in a parallel environment.
Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations.
OSE is a generic application framework suitable for constructing general purpose applications, distributed systems and web based services. The four main parts of OSE are an extensive C++ class library, a set of Python wrappers, a build environment based on GNU Make, and a set of documentation extraction tools.
The Internet Communications Engine (Ice) is a modern object-oriented middleware with support for C++, .NET, Java, Python, Objective-C, Ruby, and PHP. Ice is used in many mission-critical projects by companies all over the world. Ice is easy to learn, yet provides a powerful network infrastructure and vast array of features for demanding technical applications. Ice is free software, available with full source, and released under the terms of GNU General Public License (GPL). Commercial licenses are available for customers who wish to use Ice for closed-source software.
The Boost Graph Library Python bindings (which we refer to as "BGL-Python") expose the functionality of the Boost Graph Library and Parallel Boost Graph Library as a Python package, allowing one to perform computation-intensive tasks on graphs (or network
W. Lavrijsen, and A. Dutta. Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, page 27--35. Piscataway, NJ, USA, IEEE Press, (2016)