Metadata-Version: 2.1
Name: racket
Version: 0.3.7
Summary: Serve your models with confidence
Home-page: https://github.com/carlomazzaferro/racket
Author: Carlo Mazzaferro
Author-email: carlo.mazzaferro@gmail.com
License: GNU General Public License v3
Description: ##################
        racket      |pic1|
        ##################
        
        .. |pic1| image:: docs/images/table-tennis_60px.png
            :width: 40px
        
        
        .. image:: https://travis-ci.org/carlomazzaferro/racket.svg?branch=master
            :target: https://travis-ci.org/carlomazzaferro/racket
        
        .. image:: https://img.shields.io/pypi/v/racket.svg
            :target: https://pypi.python.org/pypi/racket
        
        .. image:: https://readthedocs.org/projects/racket/badge/?version=latest
            :target: https://racket.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
                        
        .. image:: https://coveralls.io/repos/github/carlomazzaferro/racket/badge.svg?branch=master
            :target: https://coveralls.io/github/carlomazzaferro/racket?branch=master
            :alt: Coverage
        
        .. image:: https://pepy.tech/badge/racket
             :target: https://pepy.tech/badge/racket
             :alt: Downloads
        
        
        
        Serve models with confidence.
        
        
        * Free software: GNU General Public License v3
        * Documentation: https://racket.readthedocs.io/en/latest/
        
        
        Overview
        --------
        
        Let's face it. Building models is already challenging enough. But putting them into production is
        usually a big enough challenge to grant the employment of an entire separate team. The goal of
        the project is removing (or at least softening) the dependency on machine learning engineers and devops,
        enabling data scientist to go from concept to production in minutes.
        
        .. note:: **STATUS**: alpha. Active development, but breaking changes may come.
        
        Presented at PyData: video_, slides_
        
        .. _video: https://www.youtube.com/watch?v=AVj3G2MbjOM
        .. _slides: https://www.slideshare.net/PyData/restful-machine-learning-with-flask-and-tensorflow-serving-carlo-mazzaferro
        
        Features
        --------
        
        * Easy integration with TensorFlow Serving and Keras
        * RESTful interface with interactive Swagger documentation
        * Model introspection: ability to view model performance and input requirements
        * Ability to deploy automatically different models with a single command
        * Rich CLI capabilities, going from project scaffolding to training, serving, and dashboarding
        * Small codebase, statically typed with mypy, and extensive docstrings
        * **Coming Soon** :sup:`TM`: Web-ui for managing, introspecting, and deploying models.
        
        
        
        .. _DemoVideo:
        
        Demo
        ----
        
        
        .. image:: https://asciinema.org/a/dinc7mQrUfO2JqFhV3iyYllIc.svg
            :target: https://asciinema.org/a/xxoebEfyu1bzO84hWWAams577?autoplay=1
        
        
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        The icon was created by smashicons_.
        
        .. _smashicons: https://www.flaticon.com/authors/smashicons
        
        
        =======
        History
        =======
        
        0.1.0 (2018-11-02)
        ------------------
        
        * First release on PyPI.
        
        0.2.0 (2018-11-13)
        ------------------
        
        * Major feature implementation and documentation
        * Static typing
        * Testing - 78% coverage
        
        
        0.3.0 (2018-11-20)
        ------------------
        
        * Major internals refactoring
        * API unchanged, although external API was made more clear and documented
        
Keywords: racket
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Provides-Extra: gpu
