Metadata-Version: 2.1
Name: forml
Version: 0.2.dev0
Summary: Lifecycle management framework for Data science projects
Home-page: https://github.com/formlio/forml
Maintainer: ForML Development Team
Maintainer-email: forml-dev@googlegroups.com
License: Apache License 2.0
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        ForML
        =====
        
        [![GitHub Build](https://github.com/formlio/forml/workflows/CI%20Build/badge.svg)](https://github.com/formlio/forml/actions)
        [![Coverage Status](https://img.shields.io/codecov/c/github/formlio/forml/master.svg)](https://codecov.io/github/formlio/forml?branch=master)
        [![Documentation Status](https://readthedocs.org/projects/forml/badge/?version=latest)](https://forml.readthedocs.io/en/latest/?badge=latest)
        [![License](http://img.shields.io/:license-Apache%202-blue.svg)](http://www.apache.org/licenses/LICENSE-2.0.txt)
        [![PyPI Version](https://badge.fury.io/py/forml.svg)](https://pypi.org/project/forml/)
        [![PyPI Downloads](https://img.shields.io/pypi/dm/forml)](https://pypi.org/project/forml/)
        [![Code Style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
        
        
        ForML is a framework for researching, implementing and operating data science projects.
        
        Use ForML to formally describe a data science problem as a composition of high-level operators. ForML expands your
        project into a task dependency graph specific to a given life-cycle phase and executes it using any of its supported
        runners.
        
        Solutions built on ForML are naturally easy to reuse, extend, reproduce, or share and collaborate on.
        
        
        Not Just Another DAG
        --------------------
        
        Despite *DAG* (directed acyclic graph) being at the heart of ForML operations, it stands out amongst the many other task
        dependency processing systems due to:
        
        1. Its specialization on machine learning problems, that is wired right into the flow topology.
        2. Concept of high-level operator composition which helps to wrap complex ML techniques into simple reusable units.
        3. An abstraction of runtime dependencies allowing to run the same project using different technologies.
        
        
        History
        -------
        
        ForML started as an open-source project in response to ever painful transitions of datascience research into production.
        While there are other projects trying to solve this problem, they are typically either generic data processing systems
        too low-level to provide out-of-the-box ML lifecycle routines or special scientific frameworks that are on the other
        end too high-level to allow for robust operations.
        
        
        Resources
        ---------
        
        * [Documentation](https://docs.forml.io/en/latest/)
        * [Source Code](https://github.com/formlio/forml/)
        * Mailing lists:
        
          * Developers: `forml-dev@googlegroups.com`
          * Users: `forml-users@googlegroups.com`
        
        * [Issue Tracker](https://github.com/formlio/forml/issues/)
        * [PyPI Repository](https://pypi.org/project/forml/)
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: System :: Distributed Computing
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: all
Provides-Extra: dask
Provides-Extra: dev
Provides-Extra: doc
Provides-Extra: flow
Provides-Extra: graphviz
Provides-Extra: presto
