types-seaborn

library0.13.2.20260728pypypi✓ verified 22d ago

types-seaborn is a type stub package providing static type annotations for the popular Seaborn statistical data visualization library. It allows type checkers (like MyPy or Pyright) to verify code that uses Seaborn, improving code quality and catching potential errors during development. This package is part of the broader typeshed project, and its current version, 0.13.2.20260408, aims to provide accurate annotations for seaborn==0.13.2.

type-stubs data

pip install types-seaborn

github ↗package ↗changelog ↗

INSTALL

IMPORT

SIG · TYPES-SEABORN

types-seaborn

type-stubspythonv0.13.2.20260728

Install

9.7s avg

Import

—

Disk

399MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.13.2.20260728 · 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 3.10–3.910 runs

installs and imports cleanly · install 0.0s · import 0.000s · 361.8MB

glibc

py 3.10–3.910 runs

installs and imports cleanly · install 9.7s · import 0.000s · 415MB

399MB installed

● package 399MB

Code

Verified usage

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

seaborn

✓ import seaborn_stubs as seaborn

✗ import seaborn as sns

This quickstart demonstrates a typical use of Seaborn to create a statistical visualization. It imports Seaborn (aliased as `sns`), Matplotlib for displaying the plot, and Pandas for data handling. It then loads a sample dataset, applies a default Seaborn theme, creates a complex relational plot, and finally displays it.

import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Often used with seaborn # Apply the default seaborn theme for aesthetics sns.set_theme() # Load an example dataset provided by seaborn tips = sns.load_dataset("tips") # Create a relational plot sns.relplot( data=tips, x="total_bill", y="tip", col="time", hue="smoker", style="smoker", size="size" ) plt.title("Tips by Total Bill, Time, and Smoker Status") plt.show()

Debug

Known issues

gotchatypes-seaborn is solely a type stub package. Installing it does not provide the Seaborn library's functionality. You must install the actual 'seaborn' package separately to use the library at runtime.

fix

Ensure 'pip install seaborn' is run alongside 'pip install types-seaborn'.

affects: All versions

breakingType annotations provided by 'types-seaborn' are specific to a particular version of the 'seaborn' library. Mismatches between the installed 'types-seaborn' version and the 'seaborn' library version can lead to incorrect or missing type hints, causing type checkers to report errors or fail to detect issues.

fix

Always check the 'types-seaborn' PyPI description for the targeted 'seaborn' version (e.g., 'types-seaborn==0.13.2.20260408' targets 'seaborn==0.13.2'). Try to keep the versions aligned.

affects: All versions

gotchaContributions and bug fixes for 'types-seaborn' should not be directed to a dedicated 'types-seaborn' repository. As part of the typeshed project, all improvements to these stubs must be contributed to the main typeshed GitHub repository.

fix

Refer to the typeshed GitHub repository (github.com/python/typeshed) for reporting issues or contributing changes to the type stubs.

affects: All versions

Upgrade

Version history

0.13.2.20260728latest on PyPI · released Jul 28, 2026

Audit

Dependencies

seabornrequiredProvides the actual runtime functionality; types-seaborn only provides type hints for this library.

matplotlibrequiredSeaborn is built on Matplotlib and is a core dependency.

pandasrequiredSeaborn is designed to work closely with Pandas DataFrames for data input.

numpyrequiredA core dependency for numerical operations in both Pandas and Matplotlib.

Agent activity

36 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/typeshed-internal/stub_uploader ↗

packagehttps://pypi.org/project/types-seaborn/ ↗

changeloghttps://github.com/typeshed-internal/stub_uploader/blob/main/data/changelogs/seaborn.md ↗