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An industrial-strength data science toolkits

Project description

## Home Built on popular scientific computing toolkits, aresy aims to make it easy to process large-scale data on a single server. aresy treats the whole data flow as a computation graph, where the input data will be put into placeholders, and you can perform nearly any python-based transformation by extending the graph. aresy was designed with the following principles:

  • Compatible with python data science ecosystem, such as numpy, pytorch, tensorflow modules.
  • Able to process cross-type, cross-domain, cross-granularity data simultaneously.
  • Easy to build a large feature generator, a transformer or even a data loader to feed preprocessed data into deep learning models.

## Installation `shell python setup.py install `

## Package Reference

  • aresy.formatting
    • aresy.formatting.TSVDataLoader
    • aresy.formatting.TSVPlaceholder
  • aresy.preprocessing
    • aresy.preprocessing.WrangleFloat
    • aresy.preprocessing.WrangleStr
    • aresy.preprocessing.WrangleNormalDatetime
  • aresy.aggregating
    • aresy.aggregating.Sum
    • aresy.aggregating.Mean
    • aresy.aggregating.Std
    • aresy.aggregating.Max
    • aresy.aggregating.Min
    • aresy.aggregating.Quantile
  • aresy.utils
    • aresy.wrap_outputs_to_json

Project details


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