python-colormath is a Python module which abstracts common color math operations. (For example, converting from CIE L*a*b to XYZ, or from RGB to CMYK.) Other operations, such as calculating ANSI and ISO density from spectral data or taking the delta E of two colors, are also covered.
GarlicSim is a platform for writing, running, and analyzing simulations. It is general enough to handle any kind of simulation: physics, game theory, epidemic spread, electronics, etc. GarlicSim aims to eliminate the need to write any boilerplate code that isn't directly related to the phenomenon you're simulating. GarlicSim defines a new format for simulations, called a simulation package and often abbreviated as simpack. The simpack contains all the code that define the simulated system, and is simply a Python package which defines a few special functions according to the GarlicSim simpack API. Simpack code may also be written in C. All of the tools that GarlicSim provides can be used to run simulations of all kinds of different domains.
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).
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.
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.
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).