Package Health Score

77 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Active

Popularity

Limited

GitHub Stars: 137
Forks: 64
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package mlos-viz, we found that it has been starred 137 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 16, 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

MIT

Security Policy

Yes

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: 78
Open PR: 15
Last Release: 3 months ago
Last Commit: 24 days ago

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

We found that mlos-viz 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: 20
Funding: No

With more than 10 contributors for the mlos-viz repository, this is possibly a sign for a growing and inviting community.

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: >=3.8

Age: 10 months
Latest Release: 3 months ago
Dependencies: 1 Direct
Versions: 5
Maintainers: 1
Wheels: OS Independent

Readme

mlos_viz

The mlos_viz module is an aid to visualizing experiment benchmarking and optimization results generated and stored by mlos_bench.

Its core API is mlos_viz.plot(experiment), initially implemented as a wrapper around dabl to provide a basic visual overview of the results, where experiment is an ExperimentData objected returned from the mlos_bench.storage layer APIs.

In the future, we plan to add more automatic visualizations, interactive visualizations, feedback to the mlos_bench experiment trial scheduler, etc.

It's available for pip install via the pypi repository at mlos-viz.

mlos-viz dependencies

matplotlib

FAQs

What is mlos-viz?

Visualization Python interface for benchmark automation and optimization results. Visit Snyk Advisor to see a full health score report for mlos-viz, including popularity, security, maintenance & community analysis.

Is mlos-viz popular?

The python package mlos-viz receives a total of 82 weekly downloads. As such, mlos-viz popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is mlos-viz well maintained?

We found that mlos-viz demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is mlos-viz safe to use?

The python package mlos-viz 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 8 November-2024, at 15:16 (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

mlos-viz

Visualization Python interface for benchmark automation and optimization results. For more information about how to use this package see README

Ensure you're using the healthiest python packages

Package Health Score

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

mlos_viz

mlos-viz dependencies

FAQs

What is mlos-viz?

Is mlos-viz popular?

Is mlos-viz well maintained?

Is mlos-viz 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

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

mlos_viz

mlos-viz dependencies

FAQs

What is mlos-viz?

Is mlos-viz popular?

Is mlos-viz well maintained?

Is mlos-viz 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