The aim of the Econ-ARK project is to make it easier for social scientists to do ‘structural modeling’ of economic choice behavior by providing a well-documented, open source codebase containing the core techniques in a way that can be relatively easily adapted to address many different questions in both macro- and microeconomics.
yt is a tool for querying, analyzing and visualizing objects or regions of interest to identify emergent properties in data available in a variety of real-world research data formats. Initially developed for use by professional astronomers, yt can be applied in a variety of domains including astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.
FEniCS is an automated finite element library used to solve equations used in modeling, featuring a domain-specific language and automated code generation. Users input a problem that looks very much like mathematical notation; FEniCS then translates that into computer code.
SymPy is a library for symbolic mathematics, which means performing mathematical calculations exactly (as opposed to inexact numeric calculations from libraries such as NumPy).
The Shogun Machine Learning Toolbox is devoted to making machine learning tools available for free, to everyone. It provides efficient implementation of all standard ML algorithms.