Package Health Score

73 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Active

Popularity

Limited

GitHub Stars: 271
Forks: 58
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package hi-ml, we found that it has been starred 271 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 30, 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

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Maintenance

Sustainable

Commit Frequency

Open Issues: 90
Open PR: 23
Last Release: 4 months ago
Last Commit: 4 months ago

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

We found that hi-ml 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: Yes
Contributors: 20
Funding: No

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

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Package

Python Versions Compatibility: ==3.9.*

Age: 3 years
Latest Release: 4 months ago
Dependencies: 0 Direct
Versions: 39
Maintainers: 0
Wheels: OS Independent

Readme

Microsoft Health Intelligence Machine Learning Toolbox

Overview

This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences, by providing tested components (data loaders, pre-processing), and deep learning models.

Installation

You can install the latest version from pypi via

pip install hi-ml

Documentation

The detailed package documentation, with examples and API reference, is on readthedocs.

Getting started

Examples that illustrate the use of the hi-ml toolbox can be found on readthedocs.

Changelog

We are relying on Github's auto-generated changelog to describe what went into a release. Please check each individual release to see a full changelog.

FAQs

What is hi-ml?

Microsoft Health Futures package containing high level ML components. Visit Snyk Advisor to see a full health score report for hi-ml, including popularity, security, maintenance & community analysis.

Is hi-ml popular?

The python package hi-ml receives a total of 789 weekly downloads. As such, hi-ml popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is hi-ml well maintained?

We found indications that hi-ml maintenance is sustainable demonstrating some project activity. We saw a total of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is hi-ml safe to use?

The python package hi-ml 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 29 December-2024, at 07:56 (UTC).

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hi-ml

Microsoft Health Futures package containing high level ML components 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

Microsoft Health Intelligence Machine Learning Toolbox

Overview

Installation

Documentation

Getting started

Changelog

Links

FAQs

What is hi-ml?

Is hi-ml popular?

Is hi-ml well maintained?

Is hi-ml 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

Microsoft Health Intelligence Machine Learning Toolbox

Overview

Installation

Documentation

Getting started

Changelog

Links

FAQs

What is hi-ml?

Is hi-ml popular?

Is hi-ml well maintained?

Is hi-ml 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