Data-Centric-AI-Community/fg-data-profiling

Health v2 · maintenance only

Adoption not part of the score

13682 stars · 1795 forks observed · 2026-08-28

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

A Python library that generates one-line data quality profiling and exploratory data analysis reports for Pandas and Spark DataFrames. It produces extended statistics summaries exportable to HTML and JSON, including support for time-series and text data.

Use cases

• profile a pandas dataframe with one line of code
• generate an eda report for a dataset
• check data quality before training a model
• explore missing values and correlations in a dataframe
• create an html summary of a csv dataset
• profile large spark dataframes
• summarize time-series data statistics

When to choose

• you need quick automated EDA for pandas or Spark DataFrames
• you want shareable HTML/JSON profiling reports
• you are doing data quality checks in a Jupyter notebook
• you need dataset statistics like distributions, correlations, and missing values without writing boilerplate

When to avoid

• you need interactive dashboards with custom visualizations rather than generated reports
• you need a full data catalog integrated with databases and storage systems
• your project depends on the old pandas-profiling/ydata-profiling package name which no longer receives updates

Facets

library · maturity active

data-science analytics data-visualization developer-tools data-science analytics data-visualization big-data python cross-platform pandas spark eda data-profiling data-quality html-report jupyter exploratory-data-analysis

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markdown · JSON · MCP: product_card(name="Data-Centric-AI-Community/fg-data-profiling")