Metadata-Version: 2.1
Name: kedro
Version: 0.14.3
Summary: Kedro helps you build production-ready data and analytics pipelines
Home-page: https://github.com/quantumblacklabs/kedro
Author: QuantumBlack Labs
License: Apache Software License (Apache 2.0)
Description: ![Kedro Logo Banner](https://raw.githubusercontent.com/quantumblacklabs/kedro/master/img/kedro_banner.jpg)
        
        `develop` | `master`  
        ----------|---------  
        [![CircleCI](https://circleci.com/gh/quantumblacklabs/kedro/tree/develop.svg?style=shield)](https://circleci.com/gh/quantumblacklabs/kedro/tree/develop) | [![CircleCI](https://circleci.com/gh/quantumblacklabs/kedro/tree/master.svg?style=shield)](https://circleci.com/gh/quantumblacklabs/kedro/tree/master)
        [![Build status](https://ci.appveyor.com/api/projects/status/2u74p5g8fdc45wwh/branch/develop?svg=true)](https://ci.appveyor.com/project/QuantumBlack/kedro/branch/develop) | [![Build status](https://ci.appveyor.com/api/projects/status/2u74p5g8fdc45wwh/branch/master?svg=true)](https://ci.appveyor.com/project/QuantumBlack/kedro/branch/master)
        
        [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
        [![Python Version](https://img.shields.io/badge/python-3.5%20%7C%203.6%20%7C%203.7-blue.svg)](https://pypi.org/project/kedro/)
        [![PyPI version](https://badge.fury.io/py/kedro.svg)](https://pypi.org/project/kedro/)
        [![Documentation](https://readthedocs.org/projects/kedro/badge/?version=latest)](https://kedro.readthedocs.io/)
        [![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black)
        [![Downloads](https://pepy.tech/badge/kedro)](https://pepy.tech/project/kedro)
        
        # What is Kedro?
        
        > "The centre of your data pipeline."
        
        Kedro is a workflow development tool that helps you build data pipelines that are robust, scalable, deployable, reproducible and versioned. We provide a standard approach so that you can:
        -   spend more time building your data pipeline,
        -   worry less about how to write production-ready code,
        -   standardise the way that your team collaborates across your project,
        -   work more efficiently.
        
        Kedro was originally designed by [Aris Valtazanos](https://github.com/arisvqb) and [Nikolaos Tsaousis](https://github.com/tsanikgr) to solve challenges they faced in their project work.
        
        ## How do I install Kedro?
        
        `kedro` is a Python package. To install it, simply run:
        
        ```
        pip install kedro
        ```
        
        For more detailed installation instructions, including how to setup Python virtual environments, please visit our [installation guide](https://kedro.readthedocs.io/en/latest/02_getting_started/02_install.html).
        
        ## What are the main features of Kedro?
        
        ### 1. Project template and coding standards
        
        - A standard and easy-to-use project template
        - Configuration for credentials, logging, data loading and Jupyter Notebooks / Lab
        - Test-driven development using `pytest`
        - [Sphinx](http://www.sphinx-doc.org/en/master/) integration to produce well-documented code
        
        ### 2. Data abstraction and versioning
        
        - Separation of the _compute_ layer from the _data handling_ layer, including support for different data formats and storage options
        - Versioning for your data sets and machine learning models
        
        ### 3. Modularity and pipeline abstraction
        
        - Support for pure Python functions, `nodes`, to break large chunks of code into small independent sections
        - Automatic resolution of dependencies between `nodes`
        - (_coming soon_) Visualise your data pipeline with Kedro-Viz, a tool that shows the pipeline structure of Kedro projects
        
        *Note:* Read our [FAQs](https://kedro.readthedocs.io/en/latest/06_resources/01_faq.html#how-does-kedro-compare-to-other-projects) to learn how we differ from workflow managers like Airflow and Luigi.
        
        ### 4. Feature extensibility
        
        - A plugin system that injects commands into the Kedro command line interface (CLI)
        - List of officially supported plugins:
          - (_coming soon_) Kedro-Airflow, making it easy to prototype your data pipeline in Kedro before deploying to [Airflow](https://github.com/apache/airflow), a workflow scheduler
          - [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), a tool for packaging and shipping Kedro projects within containers
        - Kedro can be deployed locally, on-premise and cloud (AWS, Azure and GCP) servers, or clusters (EMR, Azure HDinsight, GCP and Databricks)
        
        ![Kedro-Viz Pipeline Visualisation](https://raw.githubusercontent.com/quantumblacklabs/kedro/master/img/pipeline_visualisation.png)
        *Random pipeline visualisation using Kedro-Viz (coming soon)*
        
        ## How do I use Kedro?
        
        Our [documentation](https://kedro.readthedocs.io/en/latest/) explains:
        
        - A typical Kedro workflow
        - How to set up the project configuration
        - Building your first pipeline
        - How to use the CLI offered by `kedro_cli.py` (`kedro new`, `kedro run`, ...)
        
        > *Note:* The CLI is a convenient tool for being able to run `kedro` commands but you can also invoke the Kedro CLI as a Python module with `python -m kedro`
        
        ## How do I find Kedro documentation?
        
        This CLI command will open the documentation for your current version of Kedro in a browser:
        
        ```
        kedro docs
        ```
        
        Documentation for the latest stable release can be found [here](https://kedro.readthedocs.io/en/latest/). Check these out first:
        
        - [Getting started](https://kedro.readthedocs.io/en/latest/02_getting_started/01_prerequisites.html)
        - [Tutorial](https://kedro.readthedocs.io/en/latest/03_tutorial/01_workflow.html)
        - [FAQ](https://kedro.readthedocs.io/en/latest/06_resources/01_faq.html)
        
        ## Can I contribute?
        
        Yes! Want to help build Kedro? Check out our guide to [contributing](https://github.com/quantumblacklabs/kedro/blob/master/CONTRIBUTING.md).
        
        ## How do I upgrade Kedro?
        
        We use [Semantic Versioning](http://semver.org/). The best way to safely upgrade is to check our [release notes](https://github.com/quantumblacklabs/kedro/blob/master/RELEASE.md) for any notable breaking changes.
        
        Once Kedro is installed, you can check your version as follows:
        
        ```
        kedro --version
        ```
        
        To later upgrade Kedro to a different version, simply run:
        
        ```
        pip install kedro -U
        ```
        
        ## What licence do you use?
        
        Kedro is licensed under the [Apache 2.0](https://github.com/quantumblacklabs/kedro/blob/master/LICENSE.md) License.
        
Keywords: pipelines,machine learning,data pipelines,data science,data engineering
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.5, <3.8
Description-Content-Type: text/markdown
Provides-Extra: pyspark
Provides-Extra: docs
Provides-Extra: bioinformatics
Provides-Extra: notebook_templates
Provides-Extra: azure
