Package Health Score

75 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Sustainable

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Popularity

Limited

GitHub Stars: 4
Forks: 1
Contributors: 7

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package eitprocessing, we found that it has been starred 4 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 12, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 73
Open PR: 12
Last Release: 12 days ago
Last Commit: 12 days ago

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

We found that eitprocessing 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

Sustainable

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

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.10

Age: 5 months
Latest Release: 12 days ago
Dependencies: 2 Direct
Versions: 18
Maintainers: 3
Wheels: OS Independent

Readme

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Python

Introduction

Electrical Impedance Tomography (EIT) is a noninvasive and radiation-free continuous imaging tool for monitoring respiratory mechanics. eitprocessing aims to provide a versatile, user-friendly, reproducible and reliable workflow for the processing and analysis of EIT data and related waveform data, like pressures and flow.

eitprocessing includes tools to load data exported from EIT-devices from several manufacturers, including Dräger, SenTec and Timpel, as well as data from other sources. Several pre-processing tools and analysis tools are provided.

eit_dash provides an accompanying GUI.

Installation

It is advised to install eitprocessing in a dedicated virtual environment. See e.g. Install packages in a virtual environment using pip and venv or Getting started with conda.

Install from PyPi

eitprocessing can be installed from PyPi as follows:

pip install eitprocessing

Developer install

For full developer options (testing, etc):

git clone git@github.com:EIT-ALIVE/eitprocessing.git
cd eitprocessing
pip install -e ".[dev]"

Documentation

Please see our user documentation for a detailed explanation of the package.

Contributing

We welcome any contributions or suggestions. If you want to contribute to the development of eitprocessing, have a look at the contribution guidelines and the developer documentation.

Credits

This package was created with Cookiecutter and the NLeSC/python-template.

eitprocessing dependencies

pyyaml typing-extensions

FAQs

What is eitprocessing?

Processing of lung image data from electrical impedance tomography. Visit Snyk Advisor to see a full health score report for eitprocessing, including popularity, security, maintenance & community analysis.

Is eitprocessing popular?

We’re still processing downloads data for the python package eitprocessing. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is eitprocessing well maintained?

We found that eitprocessing 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 eitprocessing safe to use?

The python package eitprocessing 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 20 November-2024, at 21:35 (UTC).

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eitprocessing

Processing of lung image data from electrical impedance tomography. For more information about how to use this package see README

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Contents

Introduction

Installation

Install from PyPi

Developer install

Documentation

Contributing

Credits

eitprocessing dependencies

FAQs

What is eitprocessing?

Is eitprocessing popular?

Is eitprocessing well maintained?

Is eitprocessing 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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Readme

Badges

Contents

Introduction

Installation

Install from PyPi

Developer install

Documentation

Contributing

Credits

eitprocessing dependencies

FAQs

What is eitprocessing?

Is eitprocessing popular?

Is eitprocessing well maintained?

Is eitprocessing 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