pandas-profiling

What it is and what it does

pandas-profiling was a one-line exploratory data analysis tool that extended pandas' df.describe() to produce detailed HTML and JSON reports on DataFrames, including time-series and text analysis. The package has been renamed to ydata-profiling to decouple profiling from pandas-specific DataFrames.

This specific version (3.6.6) is a brownout implementation: it remains installable via pip but is deprecated and will cease functioning after April 1st. The package now serves only to redirect users to ydata-profiling. New installations should use ydata-profiling directly; existing code using pandas-profiling imports will break after the deprecation deadline.

Use it for:

• Migrating legacy code: if you have existing pandas-profiling imports, this package documents the migration path to ydata-profiling.
• Temporary compatibility: if a dependency still requires pandas-profiling, this package provides a bridge until that dependency updates.
• Understanding the deprecation: reviewing this package's brownout strategy and timeline for sunsetting old naming conventions.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

This package is deprecated; it redirects users to ydata-profiling for exploratory data analysis of pandas DataFrames with HTML and JSON export.

No. Do not install this package. It is deprecated and will error after April 1st. Install ydata-profiling instead, which provides the same functionality under the new name. If you encounter pandas-profiling as a transitive dependency, file an issue with the upstream package to migrate to ydata-profiling.

Install

pandas-profiling on PyPI

pip install pandas-profiling

uv add pandas-profiling

poetry add pandas-profiling

Installing pandas-profiling

Before you install

Low install friction, but the package is in active deprecation. Last release was over a year ago; the repo remains active but this version is a brownout implementation directing users to ydata-profiling instead.

License in practice

MIT license (permissive) allows commercial and private use, but the package itself is deprecated and unsupported—license permissiveness is moot when the package is being phased out.

Quickstart

pip install pandas-profiling
from pandas_profiling import ProfileReport
# Note: This import path will error after April 1st; use ydata-profiling instead

Package is deprecated and will throw errors after April 1st; install ydata-profiling instead for continued support.

Verify before relying

• Whether the April 1st deprecation deadline has passed relative to current date.
• Whether dependencies of this package have migrated to ydata-profiling, potentially making this a transitive blocker.
• Exact functionality differences between this version and ydata-profiling's current capabilities.

Package facts

Evidence: pandas_profiling-3.6.6-py2.py3-none-any.whl

Keywords: pandas, data-science, data-analysis, python, jupyter, ipython

Tags

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