semvec/pypi-packages huggingface dataset:
pipeml 0.1
Pipeline tools for machine learning models
License: MIT
Keywords: machine learning tools function pipeline

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PipeML: Pipeline tools for machine learning models
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.. image:: http://img.shields.io/pypi/v/pipeml.svg?style=flat
   :target: https://pypi.python.org/pypi/pipeml
   :alt: Version_status
.. image:: http://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat
   :target: https://pipeml.readthedocs.io/en/latest/
   :alt: Documentation
.. image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat
   :target: https://github.com/yoelcortes/pipeml/blob/master/LICENSE.txt
   :alt: license

.. contents::

What is PipeML?
---------------

PipeML constitutes a set of tools to work with machine learning models. PipeML does not implement machine learning models nor does it serve to build model. It is simply used to interface more easily with machine learning models

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

Get the latest version of PipeML from `PyPI <https://pypi.python.org/pypi/pipeml/>`__. If you have an installation of Python with pip, simple install it with:

    $ pip install pipeml

To get the git version, run:

    $ git clone git://github.com/yoelcortes/pipeml

Documentation
-------------

TODO

Bug reports
-----------

To report bugs, please use the PipeML's Bug Tracker at:

    https://github.com/yoelcortes/pipeml


License information
-------------------

See ``LICENSE.txt`` for information on the terms & conditions for usage
of this software, and a DISCLAIMER OF ALL WARRANTIES.

Although not required by the PipeML license, if it is convenient for you,
please cite PipeML if used in your work. Please also consider contributing
any changes you make back, and benefit the community.
anatolygusev-djet 0.2.2
Set of helpers for easy testing of Django apps.
License: MIT

====
djet
====

.. image:: https://img.shields.io/pypi/v/djet.svg
  :target: https://pypi.org/project/djet

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

.. image:: https://img.shields.io/codecov/c/github/sunscrapers/djet.svg
  :target: https://codecov.io/gh/sunscrapers/djet

**Django Extended Tests** is a set of helpers for easy testing of Django apps.

Main features:

* easy unit testing of Django views (``ViewTestCase``)
* useful assertions provides as mixin classes:

  * response status codes (``StatusCodeAssertionsMixin``)
  * emails (``EmailAssertionsMixin``)
  * messages (``MessagesAssertionsMixin``)
  * model instances (``InstanceAssertionsMixin``)

* handy helpers for testing file-related code (``InMemoryStorageMixin`` and others)
* smooth integration with Django REST Framework authentication mechanism (``APIViewTestCase``)

Full documentation available on `read the docs <https://djet.readthedocs.io/en/latest/>`_.

Developed by `SUNSCRAPERS <http://sunscrapers.com>`_ with passion & patience.

Requirements
============

* **Python**: 2.7 (Only Django 1.11), 3.4+
* **Django**: 1.11, 2.0+
* (optional) **Django REST Framework**: 3.7+

Installation
============

Simply install using ``pip``:

.. code-block:: bash

    $ pip install djet

Documentation
=============

Full documentation is available to study at
`read the docs <https://djet.readthedocs.io/en/latest/>`_
and in ``docs`` directory.