sweetviz

library2.3.3pypypi✓ verified 85d ago

A pandas-based library to visualize and compare datasets, providing an automated EDA report in HTML. Current version is 2.3.3, with releases about quarterly.

data ai-ml

pip install sweetviz

github ↗package ↗changelog ↗

INSTALL

IMPORT

SIG · SWEETVIZ

sweetviz

datapythonv2.3.3

Install

16.4s avg

Import

5973ms

Disk

416MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v2.3.3 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 6.032s · 413.4MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 16.4s · import 5.914s · 397MB

416MB installed

● package 416MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

sweetviz

✓ import sweetviz

✗ from sweetviz import *

Module-wide import is standard; star imports are discouraged and may cause namespace pollution.

Generate an EDA report for the Iris dataset, targeting the 'species' column.

import pandas as pd import sweetviz as sv df = pd.read_csv('https://raw.githubusercontent.com/fbdesignpro/sweetviz/master/datasets/iris.csv') report = sv.analyze(df, target_feat='species') report.show_html('sweetviz_report.html')

Debug

Known issues

breakingIn v2.2.1, incompatibilities with Pandas 2.0+ and numpy 1.24+ were fixed. Upgrade from older versions (<2.2.1) may break if using newer pandas.

fix

Upgrade to sweetviz >=2.2.1.

affects: <2.2.1

deprecatedThe 'distutils' import was removed in v2.3.2; earlier versions may cause ImportError in Python 3.12+ where distutils is removed.

fix

Update sweetviz to >=2.3.2.

affects: <2.3.2

gotchaWhen using compare() or compare_intra(), the target feature must exist in both dataframes. Missing columns cause silent incorrect reports.

fix

Ensure all required columns are present in both datasets before comparison.

affects: all

gotchaLarge datasets (>100k rows) may cause high memory usage; the library loads the entire dataframe into memory and creates a large HTML report.

fix

Sample your data or use the 'verbosity' parameter (v2.3.0+) to limit detail. For massive datasets, consider alternatives like ydata-profiling.

affects: all

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'sweetviz'

Sweetviz is not installed in the current Python environment.

fix

Run `pip install sweetviz`.

ImportError: cannot import name 'is_categorical_dtype' from 'pandas.api.types'

In older sweetviz (<2.3.0) with newer pandas versions, the import path changed.

fix

Upgrade sweetviz to >=2.3.0.

AttributeError: module 'numpy' has no attribute 'bool'

Sweetviz versions <2.3.2 used deprecated numpy aliases removed in numpy 1.24+.

fix

Upgrade sweetviz to >=2.3.2.

ValueError: The truth value of a DataFrame is ambiguous

Passing a pandas DataFrame where a Series is expected, e.g., using analyze() with a multi-column target feature.

fix

Ensure target_feat is a single column name (string), not a list or DataFrame.

Upgrade

Version history

2.3.3latest on PyPI · released Apr 11, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

15 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/fbdesignpro/sweetviz ↗

packagehttps://pypi.org/project/sweetviz/ ↗

changeloghttps://github.com/fbdesignpro/sweetviz/releases ↗