tflite-support

v0.4.4

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. For more information about how to use this package see README

Latest version published 10 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

71 / 100

security
No known security issues
popularity
Recognized
maintenance
Sustainable
community
Sustainable

Popularity

Recognized

GitHub Stars: 355
Forks: 123
Contributors: 60

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tflite-support, we found that it has been starred 355 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 12, 2023
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

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Maintenance

Sustainable

Commit Frequency

Open Issues: 78
Open PR: 14
Last Release: 10 months ago
Last Commit: 21 days ago

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

We found that tflite-support 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: 60
Funding: No

With more than 10 contributors for the tflite-support 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 tflite-support is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==2.7.*, ==3.6.*, ==3.7.*, ==3.8.*

Age: 4 years
Latest Release: 10 months ago
Dependencies: 6 Direct
Versions: 21
Maintainers: 3
Wheels: Linux, macOS

Readme

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices.

This PyPI package includes the Python bindings for following features:

Task Library: a set of powerful and easy-to-use task-specific libraries to integrate TFLite models onto various platforms. See the Task Library documentation for more information.
Metadata schemas: wraps TFLite model schema and metadata schema in Python.
Metadata writer and displayer: can be used to populate the metadata and associated files into the model, as well as converting the populated metadata into the json format. See the Metadata documentation for more information.
Android Codegen tool: generates the Java model interface used in Android for a particular model. See the Codegen tool documentation for more information.

tflite-support dependencies

absl-py flatbuffers numpy protobuf pybind11 sounddevice

FAQs

What is tflite-support?

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. Visit Snyk Advisor to see a full health score report for tflite-support, including popularity, security, maintenance & community analysis.

Is tflite-support popular?

The python package tflite-support receives a total of 25,465 weekly downloads. As such, tflite-support popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tflite-support well maintained?

We found indications that tflite-support maintenance is sustainable demonstrating some project activity. We saw a total of 60 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tflite-support safe to use?

The python package tflite-support 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 26 April-2024, at 07:19 (UTC).

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