Metadata-Version: 2.1
Name: zfit
Version: 0.2.0
Summary: Scalable, pythonic fitting for high energy physics
Home-page: https://github.com/zfit/zfit
Author: Jonas Eschle
Maintainer: zfit
Maintainer-email: zfit@physik.uzh.ch
License: BSD 3-Clause
Keywords: TensorFlow,model,fitting,scalable,HEP
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.6
Requires-Dist: tensorflow (>=1.10.0)
Requires-Dist: tensorflow-probability (>=0.3.0)
Requires-Dist: scipy (>=1.2)
Requires-Dist: pandas
Requires-Dist: uproot
Requires-Dist: numpy
Requires-Dist: iminuit
Requires-Dist: typing
Requires-Dist: pep487
Requires-Dist: colorlog
Requires-Dist: texttable

====
zfit
====


.. image:: https://img.shields.io/pypi/v/zfit.svg
        :target: https://pypi.python.org/pypi/zfit

.. image:: https://img.shields.io/travis/zfit/zfit.svg
        :target: https://travis-ci.org/zfit/zfit

.. image:: https://readthedocs.org/projects/zfit/badge/?version=latest
        :target: https://zfit.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status
.. image:: https://coveralls.io/repos/github/zfit/zfit/badge.svg?branch=meta_changes
        :target: https://coveralls.io/github/zfit/zfit?branch=meta_changes
.. image:: https://www.codefactor.io/repository/github/zfit/zfit/badge
   :target: https://www.codefactor.io/repository/github/zfit/zfit
   :alt: CodeFactor


* Free software: BSD-3-Clause
* `Full Documentation <https://zfit.github.io/zfit/>`_

The ``zfit`` package provides scalable, pythonic fitting. It is currently in it's beta stage: core parts are
established, but it's not feature complete. It can (and is) used in analysis.


Acknowledgements
----------------

zfit has been developed with support from the University of Zürich and the Swiss National Science Foundation (SNF) under contracts 168169 and 174182.

The authors would like to thank numerous invaluable inputs and inspiration from other packages and
the HSF community.


=======
History
=======

0.3.0 (2019-03-20)
------------------

Beta stage and first pip release

0.0.1 (2018-03-22)
------------------

* First creation of the package.


