8080labs/ppscore

Health v2 · maintenance only

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1170 stars · 172 forks observed · 2026-08-28

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

ppscore is a Python library implementing the Predictive Power Score (PPS), an asymmetric, data-type-agnostic metric that detects linear and non-linear relationships between dataframe columns. It serves as an alternative to correlation matrices, offering score, predictors, and matrix APIs for pandas DataFrames.

Use cases

• find non-linear relationships between dataframe columns
• alternative to correlation matrix in pandas
• rank predictors for a target variable
• detect predictive power of features
• compute PPS matrix for feature analysis
• replace correlation with a data-type-agnostic score

When to choose

• you need to detect non-linear or asymmetric relationships that correlation misses
• your data mixes numeric and categorical columns
• you want a quick feature-relevance ranking against a target

When to avoid

• you need statistically rigorous dependence measures with p-values
• you work outside pandas/Python dataframes
• you need fast computation on very wide datasets, since PPS trains models per column pair

Facets

library · maturity stable

data-science machine-learning data-science analytics python predictive-power-score correlation-alternative pandas feature-analysis feature-selection statistics

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