Package Health Score

55 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 808
Forks: 143
Contributors: 60

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package graspy, we found that it has been starred 808 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Aug 5, 2020
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

Inactive

Commit Frequency

Open Issues: 63
Open PR: 5
Last Release: 4 years ago
Last Commit: 23 days ago

Further analysis of the maintenance status of graspy 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 graspy 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: 60
Funding: No

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

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Package

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

Age: 6 years
Latest Release: 4 years ago
Dependencies: N/A
Versions: 8
Maintainers: 2
Wheels: No

Readme

GraSPy

Graph Statistics in Python 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://graspy.neurodata.io/

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

System Requirements

Hardware requirements

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

Software requirements

OS Requirements

This package is supported for Linux and macOS. The package has been tested on the following systems:

Linux: Ubuntu 16.04
macOS: Mojave (10.14.1)
Windows: 10

Python Requirements

This package is written for Python3. Currently, it is supported for Python 3.6 and 3.7.

Python Dependencies

GraSPy mainly depends on the Python scientific stack.

networkx
numpy
pandas
scikit-learn
scipy
seaborn

Installation Guide

Install from pip

pip install graspy

Install from Github

git clone https://github.com/neurodata/graspy
cd graspy
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 Apache 2.0 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 GraSPy

If you find GraSPy 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 graspy?

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

Is graspy popular?

The python package graspy receives a total of 71 weekly downloads. As such, graspy popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is graspy well maintained?

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

Is graspy safe to use?

While scanning the latest version of graspy, 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 1 November-2024, at 12:15 (UTC).

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Direct Usage Popularity

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Commit Frequency

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Readme

GraSPy

Overview

Documentation

System Requirements

Hardware requirements

Software requirements

OS Requirements

Python Requirements

Python Dependencies

Installation Guide

Install from pip

Install from Github

Contributing

License

Issues

Citing GraSPy

FAQs

What is graspy?

Is graspy popular?

Is graspy well maintained?

Is graspy 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