Package Health Score

43 / 100

security
Security review needed
popularity
Limited
maintenance
Inactive
community
Sustainable

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Popularity

Limited

GitHub Stars: 456
Forks: 87
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nxviz, we found that it has been starred 456 times.

Security

Security review needed

Security and license risk for latest version

Release Date: May 1, 2022
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

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Maintenance

Inactive

Commit Frequency

Open Issues: 39
Open PR: 3
Last Release: 3 years ago
Last Commit: 3 months ago

Further analysis of the maintenance status of nxviz 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 nxviz 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.

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

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 30
Funding: No

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

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Package

Python Versions Compatibility: ==3.*

Age: 8 years
Latest Release: 3 years ago
Dependencies: 7 Direct / 17 Total
Versions: 30
Maintainers: 1
Wheels: OS Independent

Not sure how to use nxviz?

To help you get started, we've collected the most common ways that nxviz is being used within popular public projects.

ericmjl / nxviz / tests / test_nxviz.py View on Github

def test_init_sort_and_group_nodes():
    """
    Tests initialization with sorting and grouping of nodes.

    This tests that the nodes are ordered correctly when first grouped on the
    `node_grouping` key, and then sorted within each group on the `node_order`
    key.
    """
    G = make_graph_for_grouping()  # noqa

    b = BasePlot(graph=G, node_grouping="affiliation", node_order="year")

    assert b.nodes == [
        n
        for n, d in sorted(
            G.nodes(data=True),
            key=lambda x: (x[1]["affiliation"], x[1]["year"]),
        )

View more ways to use nxviz

nxviz: Composable and rational network visualizations in matplotlib

nxviz is a package for building rational network visualizations using matplotlib as a backend. Inspired heavily by the principles espoused in the grammar of graphics, nxviz provides ways to compose a graph visualization together by adhering to the following recipe:

Prioritize node placement, mapping data to position and visual properties,
Draw in edges, mapping data to visual properties,
Add in annotations and highlights on the graph.

nxviz is simultaneously a data visualization research project, art project, and declarative data visualization tool. We hope you enjoy using it to build beautiful graph visualizations.

Installation

Official Releases

nxviz is available on PyPI:

pip install nxviz

It's also available on conda-forge:

conda install -c conda-forge nxviz

Pre-releases

Pre-releases are done by installing directly from git:

pip install git+https://github.com/ericmjl/nxviz.git

Quickstart

To make a Circos plot:

# We assume you have a graph G that is a NetworkX graph object.
# In this example, all nodes possess the "group" and "value" node attributes
# where "group" is categorical and "value" is continuous,
# and all edges have the "edge_value" node attribute as well.

import nxviz as nv
ax = nv.circos(
    G,
    group_by="group",
    sort_by="value",
    node_color_by="group",
    edge_alpha_by="edge_value"
)

nv.annotate.circos_group(G, group_by="group")

For more examples, including other plots that can be made, please see the examples gallery on the docs.

nxviz dependencies

matplotlib more-itertools networkx numpy palettable pandas seaborn

FAQs

What is nxviz?

Graph Visualization Package. Visit Snyk Advisor to see a full health score report for nxviz, including popularity, security, maintenance & community analysis.

Is nxviz popular?

The python package nxviz receives a total of 961 weekly downloads. As such, nxviz popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is nxviz well maintained?

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

Is nxviz safe to use?

While scanning the latest version of nxviz, 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 20 November-2024, at 21:49 (UTC).

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nxviz

Graph Visualization Package For more information about how to use this package see README

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Package

Not sure how to use nxviz?

nxviz: Composable and rational network visualizations in matplotlib

Installation

Official Releases

Pre-releases

Quickstart

nxviz dependencies

FAQs

What is nxviz?

Is nxviz popular?

Is nxviz well maintained?

Is nxviz safe to use?

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Package Health Score

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Check your requirements.txt

Snyk Vulnerability Scanner

Not sure how to use nxviz?

nxviz: Composable and rational network visualizations in matplotlib

Installation

Official Releases

Pre-releases

Quickstart

nxviz dependencies

FAQs

What is nxviz?

Is nxviz popular?

Is nxviz well maintained?

Is nxviz 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

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