Package Health Score

78 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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Popularity

Small

GitHub Stars: 1.25K
Forks: 104
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package skrub, we found that it has been starred 1,250 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 11, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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

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Maintenance

Healthy

Commit Frequency

Open Issues: 56
Open PR: 13
Last Release: 17 days ago
Last Commit: 16 days ago

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

We found that skrub demonstrates a positive version release cadence with at least one new version released in the past 3 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: Yes
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.9

Age: 1 year
Latest Release: 17 days ago
Dependencies: 0 Direct
Versions: 8
Maintainers: 0
Wheels: OS Independent

Readme

skrub

pyver pypivar pypidl codecov circleci

skrub (formerly dirty_cat) is a Python library that facilitates prepping your tables for machine learning.

If you like the package, spread the word and ⭐ this repository! You can also join the discord server.

Website:

What can skrub do?

The goal of skrub is to bridge the gap between tabular data sources and machine-learning models.

skrub provides high-level tools for joining dataframes (Joiner, AggJoiner, ...), encoding columns (MinHashEncoder, ToCategorical, ...), building a pipeline (TableVectorizer, tabular_learner, ...), and explore interactively your data (TableReport).

An animation showing how TableReport
works

>>> from skrub.datasets import fetch_employee_salaries >>> dataset = fetch_employee_salaries() >>> df = dataset.X >>> y = dataset.y >>> df.iloc[0] gender F department POL department_name Department of Police division MSB Information Mgmt and Tech Division Records... assignment_category Fulltime-Regular employee_position_title Office Services Coordinator date_first_hired 09/22/1986 year_first_hired 1986

>>> from sklearn.model_selection import cross_val_score >>> from skrub import tabular_learner >>> cross_val_score(tabular_learner('regressor'), df, y) array([0.89370447, 0.89279068, 0.92282557, 0.92319094, 0.92162666])

See our examples.

Installation

skrub can easily be installed via pip or conda. For more installation information, see the installation instructions.

Contributing

The best way to support the development of skrub is to spread the word!

Also, if you already are a skrub user, we would love to hear about your use cases and challenges in the Discussions section.

To report a bug or suggest enhancements, please open an issue.

If you want to contribute directly to the library, then check the how to contribute page on the website for more information.

FAQs

What is skrub?

Prepping tables for machine learning. Visit Snyk Advisor to see a full health score report for skrub, including popularity, security, maintenance & community analysis.

Is skrub popular?

The python package skrub receives a total of 196 weekly downloads. As such, skrub popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is skrub well maintained?

We found that skrub demonstrated a healthy version release cadence and project activity. It has a community of 0 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is skrub safe to use?

The python package skrub was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 28 December-2024, at 03:54 (UTC).

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skrub

Prepping tables for machine learning For more information about how to use this package see README

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Package

Readme

skrub

What can skrub do?

Installation

Contributing

FAQs

What is skrub?

Is skrub popular?

Is skrub well maintained?

Is skrub 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

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Snyk Vulnerability Scanner

Readme

skrub

What can skrub do?

Installation

Contributing

FAQs

What is skrub?

Is skrub popular?

Is skrub well maintained?

Is skrub 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

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