Package Health Score

79 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Active

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Popularity

Recognized

GitHub Stars: 773
Forks: 143
Contributors: 60

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package graspologic, we found that it has been starred 773 times.

Security

No known security issues

Security and license risk for latest version

Release Date: May 22, 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

Healthy

Commit Frequency

Open Issues: 62
Open PR: 4
Last Release: 4 months ago
Last Commit: 3 months ago

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

We found that graspologic demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 60
Funding: No

With more than 10 contributors for the graspologic 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 graspologic is missing a Code of Conduct.

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Package

Python Versions Compatibility: <3.13,>=3.9

Age: 4 years
Latest Release: 3 months ago
Dependencies: 0 Direct
Versions: 230
Maintainers: 3
Wheels: OS Independent

Readme

graspologic

`graspologic` is a package for graph statistical algorithms.

Overview

A graph, or network, provides a mathematically intuitive representation of data with some sort of relationship between items. For example, a social network can be represented as a graph by considering all participants in the social network as nodes, with connections representing whether each pair of individuals in the network are friends with one another. Naively, one might apply traditional statistical techniques to a graph, which neglects the spatial arrangement of nodes within the network and is not utilizing all of the information present in the graph. In this package, we provide utilities and algorithms designed for the processing and analysis of graphs with specialized graph statistical algorithms.

Documentation

The official documentation with usage is at https://graspologic-org.github.io/graspologic/latest

Please visit the tutorial section in the official website for more in depth usage.

System Requirements

Hardware requirements

graspologic package requires only a standard computer with enough RAM to support the in-memory operations.

Software requirements

OS Requirements

graspologic is tested on the following OSes:

Linux x64
macOS x64
Windows 10 x64

And across the following x86_64 versions of Python:

3.9
3.10
3.11
3.12

If you try to use graspologic for a different platform than the ones listed and notice any unexpected behavior, please feel free to raise an issue. It's better for ourselves and our users if we have concrete examples of things not working!

Installation Guide

Install from pip

pip install graspologic

Install from Github

git clone https://github.com/graspologic-org/graspologic
cd graspologic
python3 -m venv venv
source venv/bin/activate
python3 setup.py install

Contributing

We welcome contributions from anyone. Please see our contribution guidelines before making a pull request. Our issues page is full of places we could use help! If you have an idea for an improvement not listed there, please make an issue first so you can discuss with the developers.

License

This project is covered under the MIT License.

Issues

We appreciate detailed bug reports and feature requests (though we appreciate pull requests even more!). Please visit our issues page if you have questions or ideas.

Citing `graspologic`

If you find graspologic useful in your work, please cite the package via the GraSPy paper

> Chung, J., Pedigo, B. D., Bridgeford, E. W., Varjavand, B. K., Helm, H. S., & Vogelstein, J. T. (2019). GraSPy: Graph Statistics in Python. Journal of Machine Learning Research, 20(158), 1-7.

FAQs

What is graspologic?

A set of Python modules for graph statistics. Visit Snyk Advisor to see a full health score report for graspologic, including popularity, security, maintenance & community analysis.

Is graspologic popular?

The python package graspologic receives a total of 1,632 weekly downloads. As such, graspologic popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is graspologic well maintained?

We found that graspologic demonstrated a healthy version release cadence and project activity. It has a community of 60 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is graspologic safe to use?

The python package graspologic 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 17 September-2024, at 04:34 (UTC).

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Readme

graspologic

graspologic is a package for graph statistical algorithms.

Overview

Documentation

System Requirements

Hardware requirements

Software requirements

OS Requirements

Installation Guide

Install from pip

Install from Github

Contributing

License

Issues

Citing graspologic

FAQs

What is graspologic?

Is graspologic popular?

Is graspologic well maintained?

Is graspologic 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

`graspologic` is a package for graph statistical algorithms.

Citing `graspologic`