tensorflow-quantum

v0.7.3

TensorFlow Quantum is a library for hybrid quantum-classical machine learning. For more information about how to use this package see README

Latest version published 6 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

76 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

Popularity

Small

GitHub Stars: 1.8K
Forks: 576
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tensorflow-quantum, we found that it has been starred 1,798 times.

Security

No known security issues

Security and license risk for latest version

Release Date: May 16, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
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Indirect Vulnerabilities: 0
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0
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0
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0
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License Risk: 0
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0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 127
Open PR: 26
Last Release: 6 months ago
Last Commit: 6 months ago

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

We found that tensorflow-quantum 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: No
Contributors: 40
Funding: No

With more than 10 contributors for the tensorflow-quantum 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 tensorflow-quantum is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*, ==3.7.*, ==3.8.*, ==3.9.*

Age: 5 years
Latest Release: 6 months ago
Dependencies: 0 Direct
Versions: 12
Maintainers: 2
Wheels: Linux

Readme

TensorFlow Quantum is an open source library for high performance batch quantum computation on quantum simulators and quantum computers. The goal of TensorFlow Quantum is to help researchers develop a deeper understanding of quantum data and quantum systems via hybrid models.

TensorFlow Quantum was created in an ongoing collaboration between the University of Waterloo and the Quantum AI team at Google along with help from many other contributors within Google.

FAQs

What is tensorflow-quantum?

TensorFlow Quantum is a library for hybrid quantum-classical machine learning. Visit Snyk Advisor to see a full health score report for tensorflow-quantum, including popularity, security, maintenance & community analysis.

Is tensorflow-quantum popular?

The python package tensorflow-quantum receives a total of 450 weekly downloads. As such, tensorflow-quantum popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tensorflow-quantum well maintained?

We found that tensorflow-quantum demonstrated a healthy version release cadence and project activity. It has a community of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tensorflow-quantum safe to use?

The python package tensorflow-quantum 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 5 November-2024, at 12:19 (UTC).

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