View eds-scikit on Snyk Open Source Advisor

Package Health Score

61 / 100

security
Security review needed
popularity
Limited
maintenance
Healthy
community
Sustainable

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Popularity

Limited

GitHub Stars: 36
Forks: 5
Contributors: 7

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package eds-scikit, we found that it has been starred 36 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jun 13, 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
1
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: 8
Open PR: 5
Last Release: 6 months ago
Last Commit: 5 months ago

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

We found that eds-scikit 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

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 7
Funding: No

This project has seen only 10 or less contributors.

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

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Package

Python Versions Compatibility: <3.8,>=3.7.1

Age: 2 years
Latest Release: 6 months ago
Dependencies: 2 Direct / 47 Total
Versions: 11
Maintainers: 3
Wheels: OS Independent

Readme

Tests

eds-scikit is a tool to assist data scientists working on the AP-HP's Clinical Data Warehouse. It is specifically targeted for OMOP-standardized data. It main goals are to:

Ease access and analysis of data
Allow a better transfer of knowledge between projects
Improve research reproducibility

Development

This library is developed and maintained by the core team of AP-HP’s Clinical Data Warehouse (EDS) with the strong support of Inria's SODA team.

How to use

Please check the online documentation for more informations. You will find

Detailed explanation of the project goal and working principles
A complete API documentation
Various Jupyter Notebooks describing how to use various functionnalities of eds-scikit
And more !

Requirements

eds-scikit stands on the shoulders of Spark 2.4 which requires:

Python ~3.7.1
Java 8

Installation

You can install eds-scikit via pip:

pip install "eds-scikit[aphp]"

⚠️ If you get an an error during installation, please try downgrading pip via pip install -U "pip<23" before install eds-scikit`

⚠️ If you don't work in AP-HP's ecosystem (EDS), please install via:

pip install eds-scikit

You can now import the library via

import eds_scikit

Contributing

You want to help on the project ?
You developped an interesting feature and you think it could benefit other by being integrated in the library ?
You found a bug ?
You have a question about the library ?
...

Please check our contributing guidelines.

Citation

If you use eds-scikit, please cite us as below.

@misc{eds-scikit,
    author = {Petit-Jean, Thomas and Remaki, Adam and Maladière, Vincent and Varoquaux, Gaël and Bey, Romain},
    doi = {10.5281/zenodo.7401549},
    title = {eds-scikit: data analysis on OMOP databases},
    url = {https://github.com/aphp/eds-scikit}
}

Acknowledgment

We would like to thank the following funders:

eds-scikit dependencies

catalogue regex

FAQs

What is eds-scikit?

eds-scikit is a Python library providing tools to. Visit Snyk Advisor to see a full health score report for eds-scikit, including popularity, security, maintenance & community analysis.

Is eds-scikit popular?

The python package eds-scikit receives a total of 147 weekly downloads. As such, eds-scikit popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is eds-scikit well maintained?

We found that eds-scikit demonstrated a healthy version release cadence and project activity. It has a community of 7 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is eds-scikit safe to use?

While scanning the latest version of eds-scikit, 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 19 November-2024, at 21:36 (UTC).

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eds-scikit

eds-scikit is a Python library providing tools to For more information about how to use this package see README

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Package

Readme

Development

How to use

Requirements

Installation

Contributing

Citation

Acknowledgment

eds-scikit dependencies

FAQs

What is eds-scikit?

Is eds-scikit popular?

Is eds-scikit well maintained?

Is eds-scikit 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

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

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Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Development

How to use

Requirements

Installation

Contributing

Citation

Acknowledgment

eds-scikit dependencies

FAQs

What is eds-scikit?

Is eds-scikit popular?

Is eds-scikit well maintained?

Is eds-scikit 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