StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

SOPT is a C package to perform Sparse OPTimisation. It solves a variety of sparse regularisation problems, including the SARA algorithm.

GNU Spread Sheet Widget is a library for Gtk+ which provides a widget for viewing and manipulating 2 dimensional tabular data in a manner similar to many popular spread sheet programs.

The srecord library is a collection of powerful C++ classes for manipulating EPROM load files. It reads and writes numerous EPROM file formats, and can perform many different manipulations.

PyCM supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and accurate evaluation of a large variety of classifiers.

rl_renderPM is a package containing the ReportLab accelerator module _renderPM which can be used to speedup the reportlab.graphics.renderPM functions.