Metadata-Version: 2.1
Name: dbnd
Version: 0.24.19
Summary: Machine Learning Orchestration
Home-page: https://github.com/databand-ai/dbnd
Author: Evgeny Shulman
Author-email: evgeny.shulman@databand.ai
Maintainer: Evgeny Shulman
Maintainer-email: evgeny.shulman@databand.ai
License: UNKNOWN
Project-URL: Documentation, https://databand.readme.io/
Project-URL: Bug-Tracker, https://github.com/databand-ai/dbnd/issues
Project-URL: Source-Code, https://github.com/databand-ai/dbnd
Description: [![pipeline status](https://gitlab.com/databand-ai/dbnd/badges/master/pipeline.svg)](https://gitlab.com/databand-ai/dbnd/pipelines) [![coverage report](https://gitlab.com/databand-ai/dbnd/badges/master/coverage.svg)](https://gitlab.com/databand-ai/dbnd/commits/master) 
        
        ![PyPI - Downloads](https://img.shields.io/pypi/dm/dbnd) ![PyPI](https://img.shields.io/pypi/v/dbnd) 
        ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dbnd) ![PyPI - License](https://img.shields.io/pypi/l/dbnd) 
        ![Code style: ](https://img.shields.io/badge/code%20style-black-000000.svg)
        
        # DBND Core 
        
        DBND is an agile pipeline framework that helps date engineering teams track and orchestrate their data processes. Used for processes ranging from data prep, machine learning model training, experimentation, testing, and production, DBND is easy to use and natively provides teams visibility, reproducibility, and dynamic orchestration for your projects.
        
        **DBND simplifies the process of building, running, and tracking data pipelines**
         
        ```python
        from dbnd import task
        
        @task
        def say_hello(name: str = "databand.ai") -> str:
            value = "Hello %s!" % name
            return value
        ```
        
        **And provides way for tracking your critical pipeline metadata**
        
        ```python
            from dbnd import log_metric, log_dataframe
            
            log_dataframe("my_dataset", my_dataset) 
            log_metric("r2", r2)
        ```
         
        
        ### Getting Started
        See our [Quickstart guide](https://databand.readme.io/docs/quickstart-1) to get up and running with DBND. Our [documentation](https://databand.readme.io/) is available for more examples and guides
        
        ### The Latest and Greatest
        We recommend that you work with a virtual environment like [Virtualenv](https://virtualenv.pypa.io/en/latest/) or [Conda](https://docs.conda.io/en/latest/).
        Updating to the latest and greatest:
        
        ```bash
        pip install dbnd
        ```
        
        If you would like access to our latest features, or have any questions, feedback, or contributions we would love to here from you! Get in touch through contact@databand.ai
        
Keywords: orchestration,data,machinelearning
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: tests
