fbdesignpro/sweetviz

Health v2 · maintenance only

Adoption not part of the score

3119 stars · 288 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Sweetviz is a Python library that generates high-density HTML visualizations for exploratory data analysis in just a couple of lines of code. It specializes in target analysis, dataset comparison (e.g. train vs test), and mixed-type feature associations.

Use cases

• profile a pandas dataframe with one line of code
• compare training vs test datasets
• analyze how a target variable relates to features
• generate an EDA report as a self-contained HTML file
• compute correlations across numerical and categorical features
• explore a dataset before building a machine learning model

When to choose

• you need fast, automated exploratory data analysis on pandas dataframes
• you want to compare two datasets or dataset subsets visually
• you need a shareable, self-contained HTML profiling report
• you want automatic type inference and mixed-type correlations

When to avoid

• you need interactive dashboards or live-updating visualizations
• your data is not in pandas or a tabular format
• you need production-grade BI reporting rather than quick EDA
• datasets are too large to profile in memory

Facets

library · maturity active

data-visualization analytics data-science data-science data-visualization analytics machine-learning python eda data-profiling pandas exploratory-data-analysis html-report statistics

Member repositories

For agents

markdown · JSON · MCP: product_card(name="fbdesignpro/sweetviz")