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AIscalate your Jupyter Notebook Prototypes into Airflow Data Products

Project description

AIscalator Documentation Status Requirements Status

Key Features

Aiscalator is a toolbox to enable your team streamlining processes from innovation to productization with:

  • Jupyter workbench
    • Explore Data, Prototype Solutions

  • Docker wrapper tools
    • Share Code, Deploy Reproducible Environments

  • Airflow machinery
    • Schedule Tasks, Refine Products

  • Data Science and Data Engineering best practices


Quick Start


Test if prerequisite softwares are installed:

docker --version
docker-compose --version
pip --version

Install AIscalator tool:

pip install aiscalator

Download docker image to run Jupyter:

aiscalator jupyter setup

Download docker image to run Airflow:

aiscalator airflow setup


Create a new Jupyter notebook to work on, define corresponding aiscalator step:

aiscalator jupyter new

Run the step without GUI:

aiscalator jupyter run <aiscalator step>


Start Airflow services:

aiscalator airflow start

Create a new AIscalator job, define the airflow DAG:

aiscalator airflow new

Schedule AIscalator job:

aiscalator airflow push <aiscalator DAG>


0.1.0 (2018-11-07)

  • First Alpha release on PyPI.

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