A Survey of Open Source Automation Tools for Data Science Predictions

2022/08/24 by Nicholas Hoell, Hoell, Nicholas
Computer Science · Decision Sciences · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Scientific Computing and Data Management

paper · pdf · doi:10.48550/arxiv.2208.11792

openalex publication_date 2022/08/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We present an expository overview of technical and cultural challenges to the development and adoption of automation at various stages in the data science prediction lifecycle, restricting focus to supervised learning with structured datasets. In addition, we review popular open source Python tools implementing common solution patterns for the automation challenges and highlight gaps where we feel progress still demands to be made.

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