Skip to main content

EMMA: Emma's Markov Model Algorithms

Project description

What is it?

EMMA is an open source collection of algorithms implemented mostly in NumPy and SciPy to analyze trajectories generated from any kind of simulation (e.g. molecular trajectories) via Markov state models (MSM).

It provides APIs for estimation and analyzing MSM and various utilities to process input data (clustering, coordinate transformations etc). For documentation of the API, please have a look at the sphinx docs in doc directory or online.

For some examples on how to apply the software, please have a look in the ipython directory, which shows the most common use cases as documentated IPython notebooks.

Installation

With pip:

pip install pyemma

with conda:

conda install -c https://conda.binstar.org/omnia pyemma

For a complete guide to installation, please have a look at the version online or offline in file doc/source/INSTALL.rst

Support

For support/bug reports/sugguestions/complains please file an issue on GitHub. http://github.com/markovmodel/PyEMMA

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyEMMA-1.0.1.tar.gz (8.6 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page