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PyPI · #4775 most downloaded on PyPI
Generate profile report for pandas DataFrame
Last release 5 months ago
22 Apr 2026
Release timing varies
gaps range from 2 weeks to 6 months
Nearly every release is documented
notes for 35 of 35 stable releases
Nothing withdrawn
no release was ever pulled
4 years old
35 releases · first in 2023
One column per quarter.
chore(actions): migrate to data centric ai community by @portellaa in #1812
Full Changelog: v4.18.1...4.18.4
Multiple Spark Enhancements (#1800) (45d76ea), closes #1602 #1722 #1723
# 4.18.0 (2025-11-21) ### Features * update core packages
modernize dependencies and expand Python support
Add html metrics support for compare
refactor code to render HTML and widget flavours
fix: add a new env variable for banner by @fabclmnt in https://github.com/ydataai/ydata-profiling/pull/1735
Full Changelog: https://github.com/ydataai/ydata-profiling/compare/v4.15.0...v4.15.1
fix: improve profiling code logic by @fabclmnt in https://github.com/ydataai/ydata-profiling/pull/1728
Full Changelog: https://github.com/ydataai/ydata-profiling/compare/v4.14.0...v4.15.0
Convert MultiIndex columns to string representation
add information to ydataprofiling
add numba as an installation flavour
is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, pd.CategoricalDtype)
Correction for numpy.NaN deprecating to numpy.nan
remove compare report type enforcement
jquery & bootstrap versions upgrade to fix vulnerables (jquery vulns related to xss and bootstrap vulns related to CVE & Sonatype)
fix: great expectations unit tests referring to deprecated method by @alexbarros in https://github.com/ydataai/ydata-profiling/pull/1558
Full Changelog: https://github.com/ydataai/ydata-profiling/compare/v4.8.2...4.8.3
Full Changelog: https://github.com/ydataai/ydata-profiling/compare/v4.7.0...4.8.3
comparison to_json pd.Series encoding error
consider all nan series as numerical
chore(deps): bump to pydantic v2 by @portellaa in https://github.com/ydataai/ydata-profiling/pull/1483
The reason for this release is just to bump the requirement of pydantic into v2. As for code changes, we continue using v1 which is packed inside v2. We will proceed with the migration as soon as possible.
fixate matplotlib upper version
gap identification and improve gap statistics and visualization
ignore NA when casting to datetime
actions: update create-tag action
add punctuation marks in all alerts
Numeric vars as TimeSeries when tsmode=True (#1343) (d750e00)Numeric vars as TimeSeries when tsmode=True (#1343)" (#1346) (40fb0c2)comparing issues when pyspark is installed and when the report summaries are used
variables dropdown wrong color on mouse hover
correlation between columns w/o nonnull row
__version__ bug and incorporate feedback
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