Metadata-Version: 1.1
Name: pyEMMA
Version: 1.2.2
Summary: EMMA: Emma's Markov Model Algorithms
Home-page: http://github.com/markovmodel/PyEMMA
Author: Martin K. Scherer
Author-email: m.scherer@fu-berlin.de
License: FreeBSD
Description: =====================================
        EMMA (Emma's Markov Model Algorithms)
        =====================================
        
        .. image:: https://travis-ci.org/markovmodel/PyEMMA.svg?branch=devel
           :target: https://travis-ci.org/markovmodel/PyEMMA
        .. image:: https://badge.fury.io/py/pyemma.svg
           :target: https://pypi.python.org/pypi/pyemma
        .. image:: https://pypip.in/d/pyemma/badge.svg
           :target: https://pypi.python.org/pypi/pyemma
        .. image:: https://binstar.org/xavier/binstar/badges/downloads.svg
           :target: https://binstar.org/omnia/pyemma
        .. image:: https://binstar.org/omnia/pyemma/badges/installer/conda.svg
           :target: https://conda.binstar.org/omnia
        .. image:: https://coveralls.io/repos/markovmodel/PyEMMA/badge.svg?branch=devel
           :target: https://coveralls.io/r/markovmodel/PyEMMA?branch=devel
        
        What is it?
        -----------
        EMMA is an open source collection of algorithms implemented mostly in
        `NumPy <http://www.numpy.org/>`_ and `SciPy <http://www.scipy.org>`_ 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 <http://pythonhosted.org/pyEMMA/api/index.html>`__.
        
        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 <http://pythonhosted.org/pyEMMA/INSTALL.html>`__ 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 <http://github.com/markovmodel/PyEMMA>`__.
        
        Or start a discussion on our mailing list: pyemma-users@lists.fu-berlin.de
        
        
        External Libraries
        ------------------
        * mdtraj (LGPLv3): https://mdtraj.org
        * grandalf (GPLv2, EPLv1): https://github.com/bdcht/grandalf
        
        
Keywords: Markov State Model Algorithms
Platform: Windows
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Requires: numpy
Requires: scipy
