✈️ DataJet¶

DataJet is a Data Dependency Graph Framework and Executor with the following features:

• Lazy: Evaluate and return only the data you need
• Efficient: DataJet doesn't get in the way of performance
• Declarative: Declare Data Dependencies and transformations explicitly, using plain python
• Dependency-Free: Just Python.

Installation¶

Install via pip from PyPi:

pip install datajet

Usage¶

Usage is simple:

from datajet import execute

datajet_map = {
    "dollars": [3.99, 10.47, 18.95, 15.16,],
    "units": [1, 3, 5, 4,],
    "prices": lambda dollars, units: [d/u for d, u in zip(dollars, units)],
    "average_price": lambda prices: sum(prices) / len(prices) * 1000 // 10 / 100
}

execute(datajet_map, fields=['prices', 'average_price'])
# Result: 
# {'prices': [3.99, 3.49, 3.79, 3.79], 'average_price': 3.76}

Look at What is DataJet to understand more, or jump straight into the tutorial.