drvinceknight / Nashpy

This is a Python library for computing Nash equilibria. The library has standard scientific python dependencies (numpy and scipy) ensuring readability and portability.

DOI pending

quanteda / quanteda

A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in...

DOI pending

salabim / salabim

Salabim is a Python package for discrete event simulation, using the same methodology as in Simula, Tomas and must. The powerful animation makes it easy to debug en demonstrate models. Queues,...

https://bitbucket.org/glotzer/rowan

The rowan Python package is a small but complete tool for working with quaternion operations in a generic setting. The package works directly on NumPy arrays and is designed to be easy to install...

MarionLegrandLogrami / stacomiR

The objective of the stacomi project is to provide a common database for people monitoring fish migration, so that data from watershed are shared, and stocks exchanging between different basins are...

DOI pending

HajkD / philentropy

An R package that implements a mathematical library of 46 distance and similarity measures for comparing probability density functions.

scikit-beam / NeuNorm

Neutron imaging experiment produced data that must go first through a normalization process. This normalization removes electronic noises, gamma counts as well as pollution from neighboring...

DOI pending

loftytopping / PyBox

A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.

https://gitlab.com/moorepants/skijumpdesign

A ski jump design tool for equivalent fall height. Includes a library for 2D skiing simulations and a graphical web application for designing ski jumps. It is written in Python backed by NumPy,...

DOI pending

strengejacke / sjmisc

Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation...