View deeplift on Snyk Open Source Advisor

Package Health Score

45 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Limited

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shap
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Popularity

Small

GitHub Stars: 809
Forks: 160
Contributors: 10

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package deeplift, we found that it has been starred 809 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Nov 11, 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: 40
Open PR: 3
Last Release: 4 years ago
Last Commit: 3 years ago

Further analysis of the maintenance status of deeplift 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 deeplift 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

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 10
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like deeplift is missing a Code of Conduct.

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Package

Python Versions Compatibility: Unspecified

Age: 6 years
Latest Release: 4 years ago
Dependencies: N/A
Versions: 12
Maintainers: 2
Wheels: No

Readme

Algorithms for computing importance scores in deep neural networks.

Implements the methods in "Learning Important Features Through Propagating Activation Differences" by Shrikumar, Greenside & Kundaje, as well as other commonly-used methods such as gradients, guided backprop and integrated gradients. See for documentation and FAQ.

FAQs

What is deeplift?

DeepLIFT (Deep Learning Important FeaTures). Visit Snyk Advisor to see a full health score report for deeplift, including popularity, security, maintenance & community analysis.

Is deeplift popular?

The python package deeplift receives a total of 205 weekly downloads. As such, deeplift popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is deeplift well maintained?

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

Is deeplift safe to use?

While scanning the latest version of deeplift, 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 15 November-2024, at 10:15 (UTC).

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deeplift

DeepLIFT (Deep Learning Important FeaTures) For more information about how to use this package see README

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Readme

FAQs

What is deeplift?

Is deeplift popular?

Is deeplift well maintained?

Is deeplift safe to use?

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Source Code

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