jdidion / xphyle

Data compression is commonly used to reduce the storage requirements for large datasets. It is often necessary for software that operates on big data to support several commonly used compression...

rorynolan / filesstrings

Handy string and file processing and manipulation tools. Built on top of the functionality of 'stringr'. Good for those who like to do all of their file and string manipulation from within R.

openclimatedata / pyhector

Pyhector is a Python interface for the simple global climate carbon-cycle model Hector (https://github.com/JGCRI/hector). It makes the simple climate model Hector easily installable and usable from...

bjmorgan / lattice_mc

lattice_mc is a lattice-gas kinetic Monte Carlo simulation tool, written in Python. The code allows the simulation of particle transport on periodic lattices for non-interacting particles (volume...

cmutel / pandarus

Pandarus is a GIS toolkit for regionalized life cycle assessment (LCA)

gauteh / ibcao_py

A python toolbox for using the International Bathymetric Chart of the Arctic Ocean with cartopy and matplotlib, setting up the correct projections and loading the map so that it is ready for plotting.

http://mutabit.com/repos.fossil/grafoscopio/doc/tip/Packages/Dataviz/intro.md

Dataviz is a companion package for Grafoscopio that puts together several examples of Domain Specific Visualizations and Domain Specific Languages (DSV, DSL, respectively) developed with the...

DOI pending

http://mutabit.com/repos.fossil/grafoscopio/

Grafoscopio is a moldable tool to make reproducible research and literate computing developed on Pharo live coding and computing integrated environment, which allow authors to intertwine prose,...

bunhoel / anvil

The qGaussian is an R package that contain probability distributions functions and others mathematical functions related to the Tsallis Statistics.

DOI pending

https://bitbucket.org/cmutel/brightway2

Framework for life cycle assessment (LCA) in Python. Consists of several packages; used primarily in research to expand the methodology and applications of LCA.