SweetViz
A Python library for automated exploratory data analysis (EDA) with high-density visualizations and target analysis in two lines of code.
What is SweetViz?
Sweetviz is a Python library that automates exploratory data analysis (EDA) by generating detailed, interactive HTML reports from datasets with just two lines of code. It visualizes target characteristics, compares datasets (like training vs. test data), and analyzes feature associations to help data scientists quickly understand their data. The tool is designed to save time during the initial data exploration phase of machine learning projects.
Data scientists, machine learning engineers, and analysts who need to quickly explore and understand datasets, especially when preparing data for modeling or comparing subsets like training and test sets.
Developers choose Sweetviz for its ability to produce comprehensive, publication-ready EDA reports with minimal code, unifying numerical, categorical, and mixed-type associations in a single visualization. Its ease of use and integration with Jupyter notebooks make it a time-saving alternative to manual plotting and analysis.
Overview
Visualize and compare datasets, target values and associations, with one line of code.
Use Cases
Best For
- Quickly exploring new datasets before modeling
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