Metadata-Version: 2.1
Name: anovos
Version: 0.1
Summary: An Open Source tool for Feature Engineering in Machine Learning
Home-page: https://github.com/anovos/anovos.git
Author: Team Anovos
Author-email: info@anovos.ai
License: UNKNOWN
Description: <p align="center">
        <a href="https://anovos.ai"><img src="https://mobilewalla-anovos.s3.amazonaws.com/images/anovos-dark-horizontal.png" alt="anovos-dark-horizontal" border="0"></a>
        </p>
        
        # Anovos
        
        [![release](https://img.shields.io/badge/release-alpha%200.1-yellowgreen?style=plastic)](https://github.com/anovos/anovos/releases)
        [![Docs Latest](https://img.shields.io/badge/docs-latest-blue.svg?style=plastic)](https://docs.anovos.ai/)
        [![License](https://img.shields.io/badge/License-Apache_2.0-red.svg?style=plastic)](https://opensource.org/licenses/Apache-2.0)
        [![twitter](https://img.shields.io/badge/Tweet--lightgrey?logo=twitter&style=social)](https://twitter.com/ml_anovos)
        [![Slack](https://img.shields.io/badge/slack-join_chat-white.svg?logo=slack&style=social)](https://go.mlops.community/slack)
        
        
        _Anovos_ is an open source library for feature engineering at scale.
        Built by data scientist for the data science community, it provides all capabilities required for data ingestion and transformation.
        
        Leveraging the power of [Apache Spark](https://spark.apache.org/) behind the scenes, _Anovos_ improves data scientists' productivity
        and helps them build more resilient and better performing models.
        
        # Quick Start
        
        The easiest way to try out _Anovos_ and explore its capabilities is through the provided
        [examples](/examples) that you can run via Docker without the need to install anything on your local machine:
        
        ```bash
        # clone the Git repository
        git clone https://www.github.com/anovos/anovos.git
        cd anovos/examples
        
        # generate the Docker image (including Apache Spark and a Jupyter environment)
        ./create_anovos_examples_docker_image.sh
        
        # Launch an anovos-examples Docker container
        sudo docker run -p 8888:8888 anovos-examples:latest
        ```
        
        To reach the Juypter environment, 
        open the link to `http://127.0.0.1:8888/?token...` generated by the Jupyter NotebookApp.
        
        If you're not familiar with _Anovos_ or feature engineering, the _Getting Started with Anovos_ guide is a good
        place to begin your journey. You can find it in the `guides` folder within the Jupyter environment.
        
        For more detailed instructions, see the [examples README](/examples/README.md).
        
        # Using Anovos
        
        ## Requirements
        
        To use _Anovos_, you need a compatible version of [Apache Spark](https://spark.apache.org/).
        
        Currently, we support:
        - Apache Spark 2.4.x (on Java 8)
        - Python 2.7.x
        
        Please not that _Anovos_ is not yet compatible with Apache Spark 3.x.
        For a more detailed and comprehensive description of the Spark environment expected by _Anovos_, please see ...
        
        ## Installation
        
        You can install the latest release of _Anovos_ directly through [PyPI](https://pypi.org/project/anovos/):  
        
        ```bash
        pip install anovos
        ```
        
        ## Documentation
        
        We provide a comprehensive documentation at [docs.anovos.ai](https://docs.anovos.ai).
        
        For usage examples, see the provided [interactive guides and Jupyter notebooks](/examples) as well as the [Spark demo](/demo).
        
        # Overview
        
        <p align="center">
          <img src="https://mobilewalla-anovos.s3.amazonaws.com/images/anovos_architecture.png" width="830px" alt="Anovos Architecture Diagram">
        </p>
        
        ## Roadmap
        
        _Anovos_ is still in the early stages of its development.
        To see what's planned for the upcoming releases, see our [roadmap](https://docs.anovos.ai/docs/anovos-roadmap/).
        
        ## Development Version
        
        To try out the latest additions to _Anovos_, you can install it directly from _GitHub_:  
        
        ```bash
        pip install git+https://github.com/anovos/anovos.git
        ```
        
        Please note that this version is frequently updated and might not be fully compatible with the documentation available at [docs.anovos.ai](https://docs.anovos.ai).
        
        # Contribute
        
        We're always happy to discuss and accept improvements to _Anovos_.
        To get started, please refer to our [Contributing to Anovos](https://docs.anovos.ai/community/contributing/) page in the documentation.
        
Keywords: machine learning,open source,feature engineering,analytics
Platform: UNKNOWN
Requires-Python: >=3
Description-Content-Type: text/markdown
