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
or install latest devel branch with pip:
pip install git+https://github.com/markovmodel/PyEMMA.git@devel
For a complete guide to installation, please have a look at the version online or offline in file doc/source/INSTALL.rst
To build the documentation offline you should install the requirements with:
pip install -r requirements-build-doc.txt
Then build with make:
cd doc; make html
Support and development
For bug reports/sugguestions/complains please file an issue on GitHub.
Or start a discussion on our mailing list: pyemma-users@lists.fu-berlin.de
External Libraries
mdtraj (LGPLv3): https://mdtraj.org
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