essentia-tensorflow

v2.1b6.dev1177

Library for audio and music analysis, description and synthesis, with TensorFlow support For more information about how to use this package see README

Latest version published 7 months ago

License: AGPL-3.0

PyPI

GitHub

Package Health Score

68 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Sustainable

Popularity

Small

GitHub Stars: 2.86K
Forks: 535
Contributors: 60

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package essentia-tensorflow, we found that it has been starred 2,862 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 29, 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
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

AGPL-3.0

Non-Permissive License

We noticed that this project uses a license which requires less permissive conditions such as disclosing the source code, stating changes or redistributing the source under the same license. It is advised to further consult the license terms before use.

Security Policy

We found a way for you to contribute to the project! Looks like essentia-tensorflow is missing a security policy.

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Maintenance

Sustainable

Commit Frequency

Open Issues: 363
Open PR: 41
Last Release: 7 months ago
Last Commit: 1 month ago

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

We found that essentia-tensorflow 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 essentia-tensorflow 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 essentia-tensorflow is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==2.*, ==3.*

Age: 5 years
Latest Release: 7 months ago
Dependencies: 2 Direct
Versions: 13
Maintainers: 1
Wheels: macOS

Readme

Essentia is an open-source C++ library with Python bindings for audio analysis and audio-based music information retrieval. It contains an extensive collection of algorithms, including audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, a large variety of spectral, temporal, tonal, and high-level music descriptors, and tools for inference with deep learning models. Designed with a focus on optimization in terms of robustness, computational speed, low memory usage, as well as flexibility, it is efficient for many industrial applications and allows fast prototyping and setting up research experiments very rapidly.

Website:

essentia-tensorflow dependencies

pyyaml six

FAQs

What is essentia-tensorflow?

Library for audio and music analysis, description and synthesis, with TensorFlow support. Visit Snyk Advisor to see a full health score report for essentia-tensorflow, including popularity, security, maintenance & community analysis.

Is essentia-tensorflow popular?

The python package essentia-tensorflow receives a total of 860 weekly downloads. As such, essentia-tensorflow popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is essentia-tensorflow well maintained?

We found indications that essentia-tensorflow 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 essentia-tensorflow safe to use?

The python package essentia-tensorflow 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 23 November-2024, at 23:42 (UTC).

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