vedo

v2024.5.2

A python module for scientific analysis and visualization of 3D objects and point clouds based on VTK and Numpy. For more information about how to use this package see README

Latest version published 6 months ago

License: MIT

PyPI

GitHub

Package Health Score

71 / 100

security
Security review needed
popularity
Recognized
maintenance
Sustainable
community
Active

Popularity

Recognized

GitHub Stars: 2.06K
Forks: 267
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package vedo, we found that it has been starred 2,065 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jun 16, 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

We found a way for you to contribute to the project! Looks like vedo is missing a security policy.

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Maintenance

Sustainable

Commit Frequency

Open Issues: 146
Open PR: 0
Last Release: 6 months ago
Last Commit: 12 days ago

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

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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 40
Funding: No

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

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Package

Python Versions Compatibility: >=3

Age: 5 years
Latest Release: 6 months ago
Dependencies: 4 Direct / 13 Total
Versions: 27
Maintainers: 0
Wheels: No

Not sure how to use vedo?

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

BrancoLab / BrainRender / tests / test_mouse.py View on Github

if (
        not isinstance(data, np.ndarray)
        or not isinstance(data2, np.ndarray)
        or not isinstance(data3, np.ndarray)
    ):
        raise ValueError
    if not np.array_equal(data, data3):
        raise ValueError

    gene_actor = geapi.griddata_to_volume(
        data, min_quantile=90, cmap="inferno"
    )
    gene_actor2 = geapi.griddata_to_volume(data2, min_value=0.2)

    if not isinstance(gene_actor, Mesh) or not isinstance(gene_actor2, Mesh):
        raise ValueError

View more ways to use vedo

vedo dependencies

numpy pygments typing-extensions vtk

FAQs

What is vedo?

A python module for scientific analysis and visualization of 3D objects and point clouds based on VTK and Numpy. Visit Snyk Advisor to see a full health score report for vedo, including popularity, security, maintenance & community analysis.

Is vedo popular?

The python package vedo receives a total of 3,020 weekly downloads. As such, vedo popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is vedo well maintained?

We found indications that vedo maintenance is sustainable demonstrating some project activity. We saw a total of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is vedo safe to use?

While scanning the latest version of vedo, 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 22 December-2024, at 06:19 (UTC).

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