Package Health Score

87 / 100

security
Security review needed
popularity
Key ecosystem project
maintenance
Healthy
community
Active

Explore Similar Packages

Popularity

Key ecosystem project

Total Weekly Downloads (1,966,636)

GitHub Stars: 10.76K
Forks: 1.73K
Contributors: 180

Direct Usage Popularity

The PyPI package seaborn receives a total of 1,966,636 downloads a week. As such, we scored seaborn popularity level to be Key ecosystem project.

Based on project statistics from the GitHub repository for the PyPI package seaborn, we found that it has been starred 10,760 times.

The download numbers shown are the average weekly downloads from the last 6 weeks.

Security

Security review needed

Security and license risk for latest version

Release Date: Dec 30, 2022
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
3
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

Yes

A security vulnerability was detected in an indirect dependency that is added to your project when the latest version of seaborn is installed.

We highly advise you to review these security issues.

You can connect your project's repository to Snyk to stay up to date on security alerts and receive automatic fix pull requests.

Fix it in your project with Snyk!

Maintenance

Healthy

Commit Frequency

Open Issues: 117
Open PR: 11
Last Release: 5 months ago
Last Commit: 10 days ago

Further analysis of the maintenance status of seaborn based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that seaborn demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 180
Funding: No

A good and healthy external contribution signal for seaborn project, which invites more than one hundred open source maintainers to collaborate on the repository.

We found a way for you to contribute to the project! Looks like seaborn is missing a Code of Conduct.

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Ensure all the packages you're using are healthy and well-maintained

Snyk Vulnerability Scanner

Get health score & security insights directly in your IDE

Package

Python Versions Compatibility: >=3.7

Age: 10 years
Latest Release: 5 months ago
Dependencies: 0 Direct
Versions: 32
Maintainers: 1
Wheels: OS Independent

Not sure how to use seaborn?

To help you get started, we've collected the most common ways that seaborn is being used within popular public projects.

ucbdrive / 3d-vehicle-tracking / 3d-tracking / tools / plot_tracking.py View on Github

help='draw 2D box')
    parser.add_argument('--draw_bev', default=False, action='store_true',
                        help='draw Birds eye view')
    args = parser.parse_args()
    args.select_seq = [args.select_seq] if isinstance(args.select_seq,
                                                      int) else args.select_seq

    print(' '.join(sys.argv))

    return args


args = parse_args()

# Global Variable
sns.set(style="darkgrid")
FONT = cv2.FONT_HERSHEY_SIMPLEX
FOURCC = cv2.VideoWriter_fourcc(*'mp4v')
OUTPUT_PATH = cfg.OUTPUT_PATH
FOV_H = 60
NEAR_CLIP = 0.15

if args.dataset == 'gta':
    W = cfg.GTA.W  # 1920
    H = cfg.GTA.H  # 1080
    resW = W // 2
    resH = H // 2
    FOCAL_LENGTH = cfg.GTA.FOCAL_LENGTH  # 935.3074360871937
else:
    W = cfg.KITTI.W # 1248
    H = cfg.KITTI.H # 384
    resW = W

View more ways to use seaborn

seaborn: statistical data visualization

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

Documentation

Online documentation is available at seaborn.pydata.org.

The docs include a tutorial, example gallery, API reference, FAQ, and other useful information.

To build the documentation locally, please refer to doc/README.md.

Dependencies

Seaborn supports Python 3.7+ and no longer supports Python 2.

Installation requires numpy, pandas, and matplotlib. Some advanced statistical functionality requires scipy and/or statsmodels.

Installation

The latest stable release (and required dependencies) can be installed from PyPI:

pip install seaborn

It is also possible to include optional statistical dependencies (only relevant for v0.12+):

pip install seaborn[stats]

Seaborn can also be installed with conda:

conda install seaborn

Note that the main anaconda repository lags PyPI in adding new releases, but conda-forge (-c conda-forge) typically updates quickly.

Citing

A paper describing seaborn has been published in the Journal of Open Source Software. The paper provides an introduction to the key features of the library, and it can be used as a citation if seaborn proves integral to a scientific publication.

Testing

Testing seaborn requires installing additional dependencies; they can be installed with the dev extra (e.g., pip install .[dev]).

To test the code, run make test in the source directory. This will exercise the unit tests (using pytest) and generate a coverage report.

Code style is enforced with flake8 using the settings in the setup.cfg file. Run make lint to check. Alternately, you can use pre-commit to automatically run lint checks on any files you are committing: just run pre-commit install to set it up, and then commit as usual going forward.

Development

Seaborn development takes place on Github: https://github.com/mwaskom/seaborn

Please submit bugs that you encounter to the issue tracker with a reproducible example demonstrating the problem. Questions about usage are more at home on StackOverflow, where there is a seaborn tag.

FAQs

What is seaborn?

Statistical data visualization. Visit Snyk Advisor to see a full health score report for seaborn, including popularity, security, maintenance & community analysis.

Is seaborn popular?

The python package seaborn receives a total of 1,966,636 weekly downloads. As such, seaborn popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is seaborn well maintained?

We found that seaborn demonstrated a healthy version release cadence and project activity. It has a community of 180 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is seaborn safe to use?

While scanning the latest version of seaborn, we found that a security review is needed. A total of 3 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 31 May-2023, at 05:58 (UTC).

Build a secure application checklist

Select a recommended open source package

Minimize your risk by selecting secure & well maintained open source packages

DONE

Scan your app for vulnerabilities

Scan your application to find vulnerabilities in your: source code, open source dependencies, containers and configuration files

SCAN NOW

Fix identified vulnerabilities

Easily fix your code by leveraging automatically generated PRs

AUTO FIX

Monitor for new issues

New vulnerabilities are discovered every day. Get notified if your application is affected

MONITOR APP

seaborn

Statistical data visualization For more information about how to use this package see README

Ensure you're using the healthiest python packages

Package Health Score

Explore Similar Packages

Popularity

Total Weekly Downloads (1,966,636)

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Package

Not sure how to use seaborn?

seaborn: statistical data visualization

Documentation

Dependencies

Installation

Citing

Testing

Development

FAQs

What is seaborn?

Is seaborn popular?

Is seaborn well maintained?

Is seaborn safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Total Weekly Downloads (1,966,636)

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Not sure how to use seaborn?

seaborn: statistical data visualization

Documentation

Dependencies

Installation

Citing

Testing

Development

FAQs

What is seaborn?

Is seaborn popular?

Is seaborn well maintained?

Is seaborn safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues