Pathomx is a workflow-based tool for the analysis of metabolomic and other omics datasets. It is interactive, visual, extensible, intelligent, and free for any use. It lets you dynamically build analysis workflows using the interactive editor. Drag and drop connections between plugin tools to create a complete workflow through which to run your analysis. Data can be loaded and processed automatically, and new approaches tested simply by connecting tools.
FísicaLab is an educational application to solve physics problems. The problems are set up by adding elements from the palette to a chalkboard and entering the data for each element. The elements are objects such as blocks, pulleys, motors, and forces. It can use the SI and English unit systems, scientific notation, and many conversion factors. The types of problems that can be solved are kinematics of particles (including circular motion), static analysis of particles and rigid bodies in 2D, dynamic analysis of particles in 2D (excluding the dynamics of circular motion), heat, calorimetry, ideal gas, and expansion. The static and dynamic problems are entered by constructing the free body diagrams of the objects.
Fairmat is a derivative and capital investments modelling tool. It permits you to build a pricing model for many financial projects (or derivative contracts) using a graphical representation blended with a high level algebraic language. It is also possible to use it to evaluate projects and perform real options valuations. The platform can be extended using a plug-in system.
The mctdhtools project aims to provide a set of routines for easily reading and manipulating the output of the Heidelberg MCTDH code. Its goal is to allow a new user to quickly get started with writing custom analysis programs, and to allow more experienced users to write small, clean, and testable analysis programs, something that seems incompatible with the Fortran-77 code of the Heidelberg MCTDH package.
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features tight integration with numpy, transparent use of a GPU, efficient symbolic differentiation, speed and stability optimizations, dynamic C code generation, and extensive unit-testing and self-verification. Theano has been powering large-scale computationally intensive scientific investigations since 2007. But it is also approachable enough to be used in the classroom (IFT6266 at the University of Montreal).
Finesse is a numeric simulation for laser interferometers using the frequency domain and Hermite-Gauss modes. It is easy to use for students. For basic use, including graphical output, no commercial software is required. The implemented physics are well documented in a 180-page manual. Simple examples are provided. Finesse can be used to compute a great variety of interferometer signals for control systems, including longitudinal control, alignment control, and thermal compensation.
Thinknowlogy is grammar-based software, designed to utilize the Natural Laws of Intelligence in grammar, in order to create intelligence through natural language in software. This is demonstrated by programming in natural language, reasoning in natural language and drawing conclusions (more detailed than scientific solutions), making assumptions (with self-adjusting level of uncertainty), asking questions (about gaps in the knowledge), and detecting conflicts in the knowledge. It builds semantics autonomously (with no vocabularies or words lists), detecting some cases of semantic ambiguity. It is multi-grammar, proving that Natural Laws of Intelligence are universal.
Organic Photovoltaic Device Model is a 1D Schottky-Read-Hall based drift diffusion model specifically designed to model organic photovoltaic (OPV) devices. It can describe non-geminate recombination via two mechanisms: free-to-trap processes via an exponential tail of trap states, and free-to-free carrier processes. The model solves the drift diffusion equations for electrons and holes, Poisson's equation to calculate the potential distribution in position space, and the Schottky-Read-Hall capture escape equations for a discretized set of energy levels. The model has been used to generate a number of publications. It can simulate the following experiments often used to characterize OPV devices: JV curves (Light/Dark), Charge extraction data (Light/Dark), and Steady state recombination data (Light/Dark).
Libfbm is a C++ library for fast and accurate bulk-simulation of multi-dimensional (1D, 2D, 3D, .., 8D) Gaussian stationary processes, fractional Brownian motion, and fields with power-law power spectrum. It makes use of the circulant matrix embedding and FFT. Random number generation is provided by SFMT (SIMD-optimized Mersenne Twister) with a ziggurat based algorithm for normal distribution. For FFT functions, it depends on the FFTW library.
ChiantiPy is a Python interface to the CHIANTI atomic database for astrophysical spectroscopy. The CHIANTI atomic database for astrophysical spectroscopy provides the information necessary to calculate the emission spectrum from hot plasmas. ChiantiPy provides several top-level classes to access the database and calculate continuum and emission line intensities.