rhiever/datacleaner

Health v2 · maintenance only

Adoption not part of the score

1079 stars · 205 forks observed · 2026-08-28

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

A Python package and command-line tool that automatically cleans pandas DataFrames, handling missing values and encoding categorical variables for machine learning analysis. It works on data already loadable into pandas and is built on pandas and scikit-learn preprocessing.

Use cases

• automatically clean a csv dataset before analysis
• impute missing values with mode or median per column
• encode categorical string variables as numbers
• drop rows with missing values from a dataframe
• preprocess data for machine learning pipelines
• clean datasets from the command line

When to choose

• your data is already in a pandas-compatible format and needs quick cleaning
• you want simple automated imputation and categorical encoding
• you prefer a lightweight CLI or one-line Python call

When to avoid

• you need to parse unstructured or messy raw text into structured data
• you need advanced feature engineering or custom cleaning logic
• you need actively maintained tooling with modern Python support

Facets

library · maturity maintenance

etl data-science machine-learning cli data-science machine-learning python cli cross-platform data-cleaning pandas preprocessing missing-values categorical-encoding data-engineering

Member repositories

For agents

markdown · JSON · MCP: product_card(name="rhiever/datacleaner")