Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.
Open source
24 alternativesPandas Profiling
This project profiles data quality and supports exploratory analysis of Pandas and Spark DataFrames.
About Pandas Profiling
fg-data-profiling, listed as Pandas Profiling, creates data quality and exploratory analysis reports for Pandas and Spark DataFrames with a ProfileReport call. It covers column type detection, descriptive statistics, correlations, missing data, duplicates, and alerts on potential issues, with sections for time-series, text, and file and image data. Reports can be exported to HTML or JSON or viewed in a Jupyter Notebook.
The package was renamed from ydata-profiling to fg-data-profiling. The old package no longer receives updates or bug fixes, and existing code must change imports from ydata_profiling to data_profiling.
Key features
- Automatic detection of column data types like categorical, numerical, date
- Summary warnings for missing data, skewness, and inaccuracies
- Univariate statistics with distribution histograms
- Multivariate correlations, missing-data and duplicate-row analysis
- Time-series auto-correlation, seasonality with ACF and PACF plots
- Export analysis to HTML, JSON, or Jupyter Notebook widget
Best for: Data analysts and developers working with Pandas or Spark DataFrames who need initial data quality checks.
Good for
- Generates a DataFrame report with a single ProfileReport call
- Exports analysis to HTML and JSON and shows it as a Jupyter widget
- Includes dedicated checks for time-series, text, file and image data
Watch out for
- Old ydata-profiling package no longer receives updates or bug fixes, requiring migration
Pandas Profiling at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Pandas Profiling FAQ
How do I migrate from ydata-profiling to fg-data-profiling?
Uninstall ydata-profiling, install fg-data-profiling, and change imports from ydata_profiling to data_profiling.
How do I generate a basic report?
Load a pandas DataFrame, then run ProfileReport(df, title="Profiling Report") after importing ProfileReport from data_profiling.
What export formats are supported?
HTML for sharing, JSON for integration with automated systems, and a widget in a Jupyter Notebook.
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