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Inform

Inform is a C library and collection of language wrappers, currently Python and R, for information-theoretic analysis of discrete-valued time series data (support for continuously-valued time series is in the works).

Each package was implemented with a suite of unit tests, and was designed to run on all major operating system (Windows, OS X and Linux). They all have live documentation and are open-source; contributions are welcomed. See each package's documentation or GitHub repository for installation instruction.
Package
Langauge
Version
Source
​Documentation
Inform
C
1.0.0
elife-asu/inform
https://elife-asu.github.io/Inform/
PyInform
Python (2.7+/3.4+)
0.6.0
elife-asu/pyinform
https://elife-asu.github.io/PyInform
rinform
R
1.0.0
elife-asu/rinform
​https://elife-asu.github.io/rinform
Please cite any use of the above packages as:
  • D. Moore, G. Valentini, S.I. Walker and M. Levin (2018) Inform: Efficient Information-theoretic Analysis of Collective Behaviors. Frontiers in Robotics and AI. doi: 10.3389/frobt.2018.00060

MaintainerS

Please feel free to contact the maintainers if you have any trouble installing or using Inform, or are interested in contributing.
Douglas G. Moore, Ph.D. (Inform, PyInform)
email: douglas.g.moore@asu.edu
website: https://dglmoore.com
github: https://github.com/dglmoore
Gabriele Valentini, Ph.D. (rinform)
email: gvalent3@asu.edu
website: www.public.asu.edu/~gvalent3/
github: ​github.com/gvalentini85

NEET

Neet is a package designed to analyze Boolean network models, particular models of gene regulatory systems. It currently supports both logic-based and weight-threshold networks and provides a suite of useful analyses including:
  • Attractor landscape analysis
  • Sensitivity analysis
  • Informational architecture​
​Neet is currently still in beta development, but a version 1.0.0 is planned to release by the end of 2018.
​Website: Under development
Repository: 
elife-asu/neet

Authors

Bryan C. Daniels, Bradley Karas, Hyunju Kim, Douglas G. Moore, Harrison Smith, Siyu Zhou and Sara I. Walker

Maintainter

Please feel free to contact the maintainer if you have any trouble installing or using Neet, or are interested in contributing.
Douglas G. Moore, Ph.D.
email: douglas.g.moore@asu.edu
website: https://dglmoore.com
github: https://github.com/dglmoore
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