PAIR-code/facets

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

7336 stars · 883 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Facets is a pair of web-component visualizations (Overview and Dive) for understanding and analyzing machine learning datasets, embeddable in Jupyter notebooks or web pages. Overview provides feature-by-feature statistics and dataset comparison, while Dive enables interactive exploration of individual data points.

Use cases

• visualize feature distributions in an ML dataset
• compare training and test set statistics to detect skew
• find missing values and unexpected feature values in a dataset
• interactively explore tens of thousands of data points in a notebook
• detect training/serving skew before deploying a model
• explore outliers in multidimensional data

When to choose

• you need quick feature-level statistics and distribution comparisons for ML datasets
• you work in Jupyter notebooks and want embeddable dataset visualizations
• you want to spot dataset issues like missing values or train/test skew

When to avoid

• you need general-purpose business intelligence dashboards
• you need actively developed tooling with frequent updates
• you need visualization of model performance rather than datasets

Facets

library · maturity maintenance

data-visualization machine-learning analytics machine-learning data-visualization data-science python browser cross-platform jupyter-notebook web-components dataset-analysis exploratory-data-analysis pair web

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For agents

markdown · JSON · MCP: product_card(name="PAIR-code/facets")