Metadata-Version: 2.1
Name: provenance
Version: 0.14.0
Summary: Provenance and caching library for functions, built for creating lightweight machine learning pipelines.
Home-page: http://github.com/bmabey/provenance
Author: Ben Mabey
Author-email: ben@benmabey.com
License: MIT
Description: ==========
        provenance
        ==========
        
        |version status| |build status| |docs|
        
        
        .. |version status| image:: https://img.shields.io/pypi/v/provenance.svg
           :target: https://pypi.python.org/pypi/provenance
           :alt: Version Status
        .. |build status| image:: https://travis-ci.org/bmabey/provenance.png?branch=trunk
           :target: https://travis-ci.org/bmabey/provenance
           :alt: Build Status
        .. |docs| image:: https://readthedocs.org/projects/provenance/badge/?version=latest
           :target: https://provenance.readthedocs.org
           :alt: Documentation Status
        
        ``provenance`` is a Python library for function-level caching and provenance that aids in
        creating Parsimonious Pythonic |Pipelines|. By wrapping functions in the ``provenance``
        decorator computed results are cached across various tiered stores (disk, S3, SFTP) and
        `provenance <https://en.wikipedia.org/wiki/Provenance>`_ (i.e. lineage) information is tracked
        and stored in an artifact repository. A central artifact repository can be used to enable
        production pipelines, team collaboration, and reproducible results. The library is general
        purpose but was built with machine learning pipelines in mind. By leveraging the fantastic
        `joblib`_ library object serialization is optimized for ``numpy`` and other PyData libraries.
        
        What that means in practice is that you can easily keep track of how artifacts (models,
        features, or any object or file) are created, where they are used, and have a central place
        to store and share these artifacts. This basic plumbing is required (or at least desired!)
        in any machine learning pipeline and project. ``provenance`` can be used standalone along with
        a build server to run pipelines or in conjunction with more advanced workflow systems
        (e.g. `Airflow`_, `Luigi`_).
        
        .. |Pipelines| unicode:: Pipelines U+2122
        .. _joblib: https://pythonhosted.org/joblib/
        .. _Airflow: http://airbnb.io/projects/airflow/
        .. _Luigi: https://github.com/spotify/luigi
        
        Example
        =======
        
        For an explanation of this example please see the `Introductory Guide`_.
        
        .. code-block:: python
        
            import provenance as p
        
            p.load_config(...)
        
            import time
        
            @p.provenance()
            def expensive_add(a, b):
                time.sleep(2)
                return a + b
        
        
            @p.provenance()
            def expensive_mult(a, b):
                time.sleep(2)
                return a * b
        
        
            a1 = expensive_add(4, 3)
            a2 = expensive_add(1, 1)
        
            result = expensive_mult(a1, a2)
        
            vis.visualize_lineage(result)
        
        
        .. image:: https://raw.githubusercontent.com/bmabey/provenance/trunk/docs/source/images/lineage_example.png
        
        
        .. _Introductory Guide: http://provenance.readthedocs.io/en/latest/intro-guide.html
        
        Installation
        ============
        
        For the base functionality:
        
        .. code:: bash
        
            pip install provenance
        
        
        For the visualization module (which requires ``graphviz`` to be installed):
        
        .. code:: bash
        
            pip install provenance[vis]
        
        For the SFTP store:
        
        .. code:: bash
        
            pip install provenance[sftp]
        
        For everything all at once:
        
        
        .. code:: bash
        
            pip install provenance[all]
        
        
        
        Compatibility
        =============
        
        ``provenance`` is currently only compatible with Python 3.5 and higher. Updating it to work with Python 2.7x
        should be easy, follow this `ticket`_ if you are interested in that.
        
        
        .. _ticket: https://github.com/bmabey/provenance/issues/32
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Provides-Extra: sftp
Provides-Extra: google_storage
Provides-Extra: vis
