Package Health Score

58 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Active

Popularity

Limited

GitHub Stars: 93
Forks: 61
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package scikit-beam, we found that it has been starred 93 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 26, 2023
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-3-Clause

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 72
Open PR: 12
Last Release: 1 year ago
Last Commit: 1 year ago

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

An important project maintenance signal to consider for scikit-beam is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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: No
Contributors: 30
Funding: No

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

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

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Package

Python Versions Compatibility: ==3.6.*, ==3.7.*

Age: 8 years
Latest Release: 1 year ago
Dependencies: N/A
Versions: 21
Maintainers: 6
Wheels: No

Readme

MAILING LIST

scikit-beam

Documentation

Examples

scikit-beam-examples repository

Powder calibration (still needs tilt correction)
1-time correlation
- dir
- Jupyter notebook
Differential Phase Contrast
- dir
- Jupyter notebook
Fast conversion to reciprocal space
X-Ray Speckle Visibility Spectroscopy
Basic Plotting of X-Ray Fluorescence Elemental Lines

Quick start

install with conda

conda install scikit-beam -c nsls2forge

install development version with setuptools

git clone git@github.com:scikit-beam/scikit-beam.git
cd scikit-beam
python setup.py install

set up for development

git clone git@github.com:scikit-beam/scikit-beam.git
cd scikit-beam
python setup.py develop
pip install pytest coverage setuptools

make sure all the tests pass!

python run_tests.py

and you can check the code coverage with

coverage run run_tests.py
coverage report -m

FAQs

What is scikit-beam?

Data analysis tools for X-ray science. Visit Snyk Advisor to see a full health score report for scikit-beam, including popularity, security, maintenance & community analysis.

Is scikit-beam popular?

The python package scikit-beam receives a total of 103 weekly downloads. As such, scikit-beam popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is scikit-beam well maintained?

We found indications that scikit-beam is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is scikit-beam safe to use?

The python package scikit-beam 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 26 July-2024, at 12:42 (UTC).

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scikit-beam

Data analysis tools for X-ray science 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

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Check your requirements.txt

Snyk Vulnerability Scanner

Package

Readme

MAILING LIST

scikit-beam

Examples

Quick start

install with conda

install development version with setuptools

set up for development

FAQs

What is scikit-beam?

Is scikit-beam popular?

Is scikit-beam well maintained?

Is scikit-beam 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

MAILING LIST

scikit-beam

Examples

Quick start

install with conda

install development version with setuptools

set up for development

FAQs

What is scikit-beam?

Is scikit-beam popular?

Is scikit-beam well maintained?

Is scikit-beam 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