Pies is a Python 2 and Python 3 compatibility layer with the philosophy that all code should be Python 3 code. Starting from this viewpoint means that when running on Python 3, Pies adds virtually no overhead. Instead of providing a bunch of custom methods (leading to Python code which looks out of place on any version), Pies aims to backport as many of the Python 3 API calls, imports, and objects to Python 2 as possible, relying on special syntax only when absolutely necessary.
Langer is an object oriented, rule based programming language. Its interpreter is shipped as a Python library. It was created to express behavior strategies, has a simple syntax based on languages like Python and C, and was designed to be convenient and readable for a programmer, but it can be easily used in genetic programming as well.
HEALPix is a set of scientific tools implementing the Hierarchical Equal Area isoLatitude Pixelation of the sphere. As suggested in the name, this pixelation produces a subdivision of a spherical surface in which every single pixel covers the same surface area. HEALPix provides various programs and libraries in C, C++, Fortran, GDL/IDL, Java, and Python which facilitate discretization, simulation, processing, analysis, and visualization of data on the sphere up to very high resolution. It is the state-of-the-art program used in astronomy and cosmology to deal with massive full-sky data sets.
CubicWeb is a semantic Web application framework that empowers developers to build Web applications by reusing components (called cubes) and following the well known object-oriented design principles. Its main features are: an engine driven by the explicit data model of the application; a query language, RQL, similar to W3C’s SPARQL; a selection+view mechanism for semi-automatic XHTML/XML/JSON/text generation; a library of reusable components (data model and views) that fulfill common needs; the power and flexibility of the Python programming language; and the reliability of SQL databases, LDAP directories, Subversion, and Mercurial for storage backends.
Dandelion is a 3D graph rendering application which can be controlled across a network. Its main purpose is to allow clear network graphs to be rendered in a window, which can be controlled by a separate application or the user. The Dandelion visualization is actually controlled by issuing simple commands to it across the network (although this could all be happening on a single machine). The Dandelion source includes a set of very simple libraries which can be incorporated into other applications and which can be used to send these commands. Libraries are included for C, C#, Java, and Python. The project was developed at Liverpool John Moores University within the PROTECT Centre.
G-Code Ripper reads g-code, scales, and rotates and/or splits the tool paths before outputting the modified tool path data to a new g-code file. It evaluates g-code expressions and parameters and interprets YZ and ZX arcs. YZ and ZX arcs are internally converted to linear motions for compatibility with splitting and rotation.