ai-edge-model-explorer-adapter

v0.1.5

Model Explorer offers an intuitive and hierarchical visualization of model graphs. For more information about how to use this package see README

Latest version published 3 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

72 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Sustainable

Popularity

Small

GitHub Stars: 1.05K
Forks: 82
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package ai-edge-model-explorer-adapter, we found that it has been starred 1,046 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 13, 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

Apache-2.0

Security Policy

We found a way for you to contribute to the project! Looks like ai-edge-model-explorer-adapter is missing a security policy.

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Maintenance

Sustainable

Commit Frequency

Open Issues: 22
Open PR: 11
Last Release: 3 months ago
Last Commit: 14 days ago

Further analysis of the maintenance status of ai-edge-model-explorer-adapter based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that ai-edge-model-explorer-adapter 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

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the ai-edge-model-explorer-adapter 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 ai-edge-model-explorer-adapter is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*, ==3.12.*, ==3.9.*

Age: 7 months
Latest Release: 3 months ago
Dependencies: N/A
Versions: 5
Maintainers: 1
Wheels: Linux, macOS

Readme

It organizes model operations into nested layers, enabling users to dynamically expand or collapse these layers. It also provides a range of features to facilitate model exploration and debugging, including the ability to highlight input and output operations, overlay metadata on nodes, display layers in interactive pop-ups, perform searches, show identical layers, GPU-accelerated graph rendering, among others. It currently supports TFLite, TF, TFJS, MLIR, and PyTorch (Exported Program) model format, and provides an extension framework for developers to easily add support for additional formats.

FAQs

What is ai-edge-model-explorer-adapter?

Model Explorer offers an intuitive and hierarchical visualization of model graphs. Visit Snyk Advisor to see a full health score report for ai-edge-model-explorer-adapter, including popularity, security, maintenance & community analysis.

Is ai-edge-model-explorer-adapter popular?

We’re still processing downloads data for the python package ai-edge-model-explorer-adapter. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is ai-edge-model-explorer-adapter well maintained?

We found indications that ai-edge-model-explorer-adapter maintenance is sustainable demonstrating some project activity. We saw a total of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is ai-edge-model-explorer-adapter safe to use?

The python package ai-edge-model-explorer-adapter 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 20 November-2024, at 11:10 (UTC).

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