---
id: pandas-profiling
version: "3.6.6"
license: MIT
license_treatment: permissive
maintenance: active
---

# pandas-profiling — Deprecated 'pandas-profiling' package, use 'ydata-profiling' instead

License: permissive · Maintenance: active · Downloads: 417.6K/mo

## 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 above — 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

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

- License: MIT (permissive)
- Python support: capped_below_current
- Install friction: low
- Maintenance: active
- Downloads: 417.6K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

data profiling exploratory analysis, pandas dataframe summary statistics, automated eda report generation, data quality assessment, dataset overview html export, deprecated, migration-path

[View on SkillFed](https://skillfed.io/packages/pandas-profiling) · [View on PyPI](https://pypi.org/project/pandas-profiling/)