View redner-test on Snyk Open Source Advisor

Package Health Score

51 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Sustainable

Popularity

Small

GitHub Stars: 1.39K
Forks: 139
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package redner-test, we found that it has been starred 1,392 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Feb 2, 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

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 50
Open PR: 3
Last Release: 5 years ago
Last Commit: 3 years ago

Further analysis of the maintenance status of redner-test 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 redner-test 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: 20
Funding: No

With more than 10 contributors for the redner-test 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 redner-test is missing a Code of Conduct.

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Package

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

Age: 5 years
Latest Release: 5 years ago
Dependencies: 1 Direct
Versions: 1
Maintainers: 1
Wheels: Linux

Readme

redner is a differentiable renderer that can take the derivatives of rendering output with respect to arbitrary scene parameters, that is, you can backpropagate from the image to your 3D scene. One of the major usages of redner is inverse rendering (hence the name redner) through gradient descent. What sets redner apart are: 1) it computes correct rendering gradients stochastically without any approximation and 2) it has a physically-based mode -- which means it can simulate photons and produce realistic lighting phenomena, such as shadow and global illumination, and it handles the derivatives of these features correctly. You can also use redner in a fast deferred rendering mode for local shading: in this mode it still has correct gradient estimation and more elaborate material models compared to most differentiable renderers out there.

redner-test dependencies

scikit-image

FAQs

What is redner-test?

Differentiable rendering without approximation. Visit Snyk Advisor to see a full health score report for redner-test, including popularity, security, maintenance & community analysis.

Is redner-test popular?

The python package redner-test receives a total of 9 weekly downloads. As such, redner-test popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is redner-test well maintained?

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

Is redner-test safe to use?

The python package redner-test 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 30 November-2024, at 00:43 (UTC).

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redner-test

Differentiable rendering without approximation. For more information about how to use this package see README

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redner-test dependencies

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Readme

redner-test dependencies

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