alchemlyb


Namealchemlyb JSON
Version 2.2.0 PyPI version JSON
download
home_pageNone
Summarythe simple alchemistry library
upload_time2024-04-06 19:25:32
maintainerOliver Beckstein
docs_urlNone
authorDavid Dotson
requires_python>=3.9
licenseBSD
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            alchemlyb: the simple alchemistry library
=========================================

|doi| |docs| |build| |cov| |anaconda|

**alchemlyb** makes alchemical free energy calculations easier to do
by leveraging the full power and flexibility of the PyData stack. It
includes:

1. Parsers for extracting raw data from output files of common
   molecular dynamics engines such as `GROMACS`_, `AMBER`_, `NAMD`_
   and `other simulation codes`_.

2. Subsamplers for obtaining uncorrelated samples from timeseries data
   (including extracting independent, equilibrated samples
   [Chodera2016]_ as implemented in the pymbar_ package).

3. Estimators for obtaining free energies directly from this data, using
   best-practices approaches for multistate Bennett acceptance ratio (MBAR)
   [Shirts2008]_ and BAR (from pymbar_) and thermodynamic integration (TI).

.. _GROMACS: http://www.gromacs.org/
.. _AMBER: http://ambermd.org/
.. _NAMD: http://www.ks.uiuc.edu/Research/namd/
.. _`other simulation codes`: https://alchemlyb.readthedocs.io/en/latest/parsing.html
.. _`pymbar`: http://pymbar.readthedocs.io/


Installation
------------

**Install** via ``pip`` from `PyPi (alchemlyb)`_ ::

  pip install alchemlyb

or as a `conda`_ package from the `conda-forge (alchemlyb)`_ channel
::

  conda install -c conda-forge alchemlyb 


**Update** with ``pip`` ::

  pip install --update alchemlyb

or with ``conda`` run ::

  conda update -c conda-forge alchemlyb

to get the latest released version.

.. _`PyPi (alchemlyb)`: https://pypi.org/project/alchemlyb/
.. _`conda`: https://conda.io/
.. _`conda-forge (alchemlyb)`: https://anaconda.org/conda-forge/alchemlyb

Getting involved
----------------

Contributions of all kinds are very welcome.

If you have questions or want to discuss alchemlyb please post in the `alchemlyb Discussions`_.

If you have bug reports or feature requests then please get in touch with us through the `Issue Tracker`_.

We also welcome code contributions: have a look at our `Developer Guide`_. Open an issue with the proposed fix or change in the `Issue Tracker`_ and submit a pull request against the `alchemistry/alchemlyb`_ GitHub repository.

.. _`alchemlyb Discussions`: https://github.com/alchemistry/alchemlyb/discussions
.. _`Developer Guide`: https://github.com/alchemistry/alchemlyb/wiki/Developer-Guide
.. _`Issue Tracker`: https://github.com/alchemistry/alchemlyb/issues
.. _`alchemistry/alchemlyb`: https://github.com/alchemistry/alchemlyb

   

References
----------

.. [Shirts2008] Shirts, M.R., and Chodera, J.D. (2008). Statistically optimal
    analysis of samples from multiple equilibrium states. The Journal of Chemical
    Physics 129, 124105.

.. [Chodera2016] Chodera, J.D. (2016). A Simple Method for Automated
    Equilibration Detection in Molecular Simulations. Journal of Chemical Theory
    and Computation 12, 1799–1805.


.. |doi| image:: https://zenodo.org/badge/68669096.svg
    :alt: Zenodo DOI
    :scale: 100%
    :target: https://zenodo.org/badge/latestdoi/68669096

.. |docs| image:: https://readthedocs.org/projects/alchemlyb/badge/?version=latest
    :alt: Documentation
    :scale: 100%
    :target: http://alchemlyb.readthedocs.io/en/latest/

.. |build| image:: https://github.com/alchemistry/alchemlyb/actions/workflows/ci.yaml/badge.svg?branch=master
    :alt: Build Status
    :scale: 100%
    :target: https://github.com/alchemistry/alchemlyb/actions/workflows/ci.yaml

.. |cov| image:: https://codecov.io/gh/alchemistry/alchemlyb/branch/master/graph/badge.svg
    :alt: Code coverage
    :scale: 100%
    :target: https://codecov.io/gh/alchemistry/alchemlyb


.. |anaconda| image:: https://anaconda.org/conda-forge/alchemlyb/badges/version.svg
   :alt: anaconda package
   :scale: 100%	 
   :target: https://anaconda.org/conda-forge/alchemlyb

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "alchemlyb",
    "maintainer": "Oliver Beckstein",
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": "orbeckst@gmail.com",
    "keywords": null,
    "author": "David Dotson",
    "author_email": "dotsdl@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/b5/d3/29648a5300a45488b273ce85a1242559836422ac1da07ac01ed9399e4313/alchemlyb-2.2.0.tar.gz",
    "platform": null,
    "description": "alchemlyb: the simple alchemistry library\n=========================================\n\n|doi| |docs| |build| |cov| |anaconda|\n\n**alchemlyb** makes alchemical free energy calculations easier to do\nby leveraging the full power and flexibility of the PyData stack. It\nincludes:\n\n1. Parsers for extracting raw data from output files of common\n   molecular dynamics engines such as `GROMACS`_, `AMBER`_, `NAMD`_\n   and `other simulation codes`_.\n\n2. Subsamplers for obtaining uncorrelated samples from timeseries data\n   (including extracting independent, equilibrated samples\n   [Chodera2016]_ as implemented in the pymbar_ package).\n\n3. Estimators for obtaining free energies directly from this data, using\n   best-practices approaches for multistate Bennett acceptance ratio (MBAR)\n   [Shirts2008]_ and BAR (from pymbar_) and thermodynamic integration (TI).\n\n.. _GROMACS: http://www.gromacs.org/\n.. _AMBER: http://ambermd.org/\n.. _NAMD: http://www.ks.uiuc.edu/Research/namd/\n.. _`other simulation codes`: https://alchemlyb.readthedocs.io/en/latest/parsing.html\n.. _`pymbar`: http://pymbar.readthedocs.io/\n\n\nInstallation\n------------\n\n**Install** via ``pip`` from `PyPi (alchemlyb)`_ ::\n\n  pip install alchemlyb\n\nor as a `conda`_ package from the `conda-forge (alchemlyb)`_ channel\n::\n\n  conda install -c conda-forge alchemlyb \n\n\n**Update** with ``pip`` ::\n\n  pip install --update alchemlyb\n\nor with ``conda`` run ::\n\n  conda update -c conda-forge alchemlyb\n\nto get the latest released version.\n\n.. _`PyPi (alchemlyb)`: https://pypi.org/project/alchemlyb/\n.. _`conda`: https://conda.io/\n.. _`conda-forge (alchemlyb)`: https://anaconda.org/conda-forge/alchemlyb\n\nGetting involved\n----------------\n\nContributions of all kinds are very welcome.\n\nIf you have questions or want to discuss alchemlyb please post in the `alchemlyb Discussions`_.\n\nIf you have bug reports or feature requests then please get in touch with us through the `Issue Tracker`_.\n\nWe also welcome code contributions: have a look at our `Developer Guide`_. Open an issue with the proposed fix or change in the `Issue Tracker`_ and submit a pull request against the `alchemistry/alchemlyb`_ GitHub repository.\n\n.. _`alchemlyb Discussions`: https://github.com/alchemistry/alchemlyb/discussions\n.. _`Developer Guide`: https://github.com/alchemistry/alchemlyb/wiki/Developer-Guide\n.. _`Issue Tracker`: https://github.com/alchemistry/alchemlyb/issues\n.. _`alchemistry/alchemlyb`: https://github.com/alchemistry/alchemlyb\n\n   \n\nReferences\n----------\n\n.. [Shirts2008] Shirts, M.R., and Chodera, J.D. (2008). Statistically optimal\n    analysis of samples from multiple equilibrium states. The Journal of Chemical\n    Physics 129, 124105.\n\n.. [Chodera2016] Chodera, J.D. (2016). A Simple Method for Automated\n    Equilibration Detection in Molecular Simulations. Journal of Chemical Theory\n    and Computation 12, 1799\u20131805.\n\n\n.. |doi| image:: https://zenodo.org/badge/68669096.svg\n    :alt: Zenodo DOI\n    :scale: 100%\n    :target: https://zenodo.org/badge/latestdoi/68669096\n\n.. |docs| image:: https://readthedocs.org/projects/alchemlyb/badge/?version=latest\n    :alt: Documentation\n    :scale: 100%\n    :target: http://alchemlyb.readthedocs.io/en/latest/\n\n.. |build| image:: https://github.com/alchemistry/alchemlyb/actions/workflows/ci.yaml/badge.svg?branch=master\n    :alt: Build Status\n    :scale: 100%\n    :target: https://github.com/alchemistry/alchemlyb/actions/workflows/ci.yaml\n\n.. |cov| image:: https://codecov.io/gh/alchemistry/alchemlyb/branch/master/graph/badge.svg\n    :alt: Code coverage\n    :scale: 100%\n    :target: https://codecov.io/gh/alchemistry/alchemlyb\n\n\n.. |anaconda| image:: https://anaconda.org/conda-forge/alchemlyb/badges/version.svg\n   :alt: anaconda package\n   :scale: 100%\t \n   :target: https://anaconda.org/conda-forge/alchemlyb\n",
    "bugtrack_url": null,
    "license": "BSD",
    "summary": "the simple alchemistry library",
    "version": "2.2.0",
    "project_urls": null,
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "8a185a33a281fe3db11520c088f7c2e4a31939f9244879da314bb531b1b06e9a",
                "md5": "824db0dea205039e9e80ebab8c20a7d6",
                "sha256": "1ac8ac5e19368aab99e2187fb90b8f2fd0195e4f881edddb403d1179ecd1d02d"
            },
            "downloads": -1,
            "filename": "alchemlyb-2.2.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "824db0dea205039e9e80ebab8c20a7d6",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9",
            "size": 95688,
            "upload_time": "2024-04-06T19:25:31",
            "upload_time_iso_8601": "2024-04-06T19:25:31.656542Z",
            "url": "https://files.pythonhosted.org/packages/8a/18/5a33a281fe3db11520c088f7c2e4a31939f9244879da314bb531b1b06e9a/alchemlyb-2.2.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b5d329648a5300a45488b273ce85a1242559836422ac1da07ac01ed9399e4313",
                "md5": "a66d5a514a93c0780cd94e0de19bf423",
                "sha256": "4a9e243a446e3f6ef7ee8afa4c4ef35e63148ab8501737d48df54077289083c1"
            },
            "downloads": -1,
            "filename": "alchemlyb-2.2.0.tar.gz",
            "has_sig": false,
            "md5_digest": "a66d5a514a93c0780cd94e0de19bf423",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 94539,
            "upload_time": "2024-04-06T19:25:32",
            "upload_time_iso_8601": "2024-04-06T19:25:32.977964Z",
            "url": "https://files.pythonhosted.org/packages/b5/d3/29648a5300a45488b273ce85a1242559836422ac1da07ac01ed9399e4313/alchemlyb-2.2.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-06 19:25:32",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "alchemlyb"
}
        
Elapsed time: 0.24747s