Allows users to construct multiple virtual python environments. Virtualenv produces environments which are separated from the original one, enabling the use of software with specific requirements. It offers functionalities for facilitating the installation and the removing of the generated environments and also includes an experimental option which make them relocatable.
Performs graph classification and regression by machine learning algorithms. Graphkernels is a package in R and Python with efficient C++ implementations of various graph kernels including the following prominent kernel families: (1) simple kernels between vertex and/or edge label histograms, (2) graphlet kernels, (3) random walk kernels, and (4) the Weisfeiler-Lehman graph kernel.
Provides an environment for data handling and exploration. Ibidas is a scripting language that combines both the flexibility of low-level languages as well as the advantages of general high-level query operations. It enables the reuse of common data operations in different problem settings, and for different data interfaces, thereby speeding up data exploration. It is also able to cope with different data structures and sources.
Offers a language-agnostic binary manager. Conda permits users to make environments first-class citizens and to create independent environments even for C libraries. It constructs space efficient environments by employing hard links.
Allows experimental design in systems biology. PEITH(Θ) is a general purpose interface that implements algorithms for all three described scenarios: (1) reduction of the uncertainty of the model parameters, (2) a subset of the parameters and (3) prediction of the outcome on an intervention. The software allows users to define a variety of potential experiments from varying the time points to different initial conditions.