View mlpack on Snyk Open Source Advisor

Package Health Score

81 / 100

security
Security review needed
popularity
Recognized
maintenance
Healthy
community
Active

Explore Similar Packages

Popularity

Recognized

GitHub Stars: 5.13K
Forks: 1.61K
Contributors: 260

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package mlpack, we found that it has been starred 5,130 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Sep 20, 2024
Direct Vulnerabilities: 0
C
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-2-Clause

Security Policy

We found a way for you to contribute to the project! Looks like mlpack is missing a security policy.

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

Keep your project free of vulnerabilities with Snyk

Maintenance

Healthy

Commit Frequency

Open Issues: 13
Open PR: 15
Last Release: 3 months ago
Last Commit: 23 days ago

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

We found that mlpack 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: 260
Funding: Yes

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

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: Unspecified

Age: 2 years
Latest Release: 3 months ago
Dependencies: 2 Direct / 6 Total
Versions: 6
Maintainers: 2
Wheels: Linux, macOS, Musllinux, Windows

Readme

mlpack is a fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack provides these algorithms as standalone Python functions, which wrap the fast C++ implementations of the algorithms.

mlpack's techniques fall into a handful of categories:

Classification: logistic regression, perceptrons, random forests, linear SVMs, AdaBoost, etc.
Regression: linear regression, least angle regression, etc.
Clustering: Gaussian mixture models, k-means, mean shift, DBSCAN, etc.
Geometry: k-nearest-neighbor search, max-kernel search, locality sensitive hashing (LSH), etc.
Preprocessing: dataset splitting, binarization, scaling, one hot encoding, etc.
Misc. / Other: collaborative filtering, density estimation trees, Hidden Markov Models, kernel density estimation (KDE), etc.
Transformations: kernel PCA, sparse coding, large margin nearest neighbors, PCA, etc.

For more documentation on each individual function that mlpack provides, see the Python binding documentation.

mlpack dependencies

numpy pandas

FAQs

What is mlpack?

a flexible, fast machine learning library. Visit Snyk Advisor to see a full health score report for mlpack, including popularity, security, maintenance & community analysis.

Is mlpack popular?

The python package mlpack receives a total of 2,736 weekly downloads. As such, mlpack popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is mlpack well maintained?

We found that mlpack demonstrated a healthy version release cadence and project activity. It has a community of 260 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is mlpack safe to use?

While scanning the latest version of mlpack, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 29 November-2024, at 18:11 (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

mlpack

a flexible, fast machine learning library 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

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

Readme

mlpack dependencies

FAQs

What is mlpack?

Is mlpack popular?

Is mlpack well maintained?

Is mlpack 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

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

mlpack dependencies

FAQs

What is mlpack?

Is mlpack popular?

Is mlpack well maintained?

Is mlpack 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