View audiologic on Snyk Open Source Advisor

Package Health Score

57 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Sustainable

Popularity

Small

GitHub Stars: 73.07K
Forks: 8.72K
Contributors: 80

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package audiologic, we found that it has been starred 73,074 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Feb 1, 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

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 0
Open PR: 87
Last Release: 2 years ago
Last Commit: 22 days ago

Further analysis of the maintenance status of audiologic 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 audiologic 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.

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: 80
Funding: No

With more than 10 contributors for the audiologic 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 audiologic is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 2 years
Latest Release: 2 years ago
Dependencies: N/A
Versions: 2
Maintainers: 0
Wheels: OS Independent

Readme

Python Module to process and predict on music attributes

Two Models were built and trained to predict valence given an audio sample. One uses a feature pipeline on top of librosa to make a number of predictors that go into a Random Forest model to determine a valence prediction. The other uses OpenAI's whisper model to transcribe lyrics, then tokenize the words, and again a trained Random Forest model makes the prediction based on lyrics.

	Model RMSE
Audio	1.56
Lyrics	1.28

Data Used:

1000 Song Dataset - Download here
Spotify Developer API - 30 second previews

Package Requirements

pip install -r requirements.txt

make sure to download whisper from openai (not currently included in requirements.txt)
Also must install ffmpeg (using brew, choco, etc.)

FAQs

What is audiologic?

Python utilities to process and predict on audio attributes. Visit Snyk Advisor to see a full health score report for audiologic, including popularity, security, maintenance & community analysis.

Is audiologic popular?

The python package audiologic receives a total of 45 weekly downloads. As such, audiologic popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is audiologic well maintained?

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

Is audiologic safe to use?

The python package audiologic 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 19 December-2024, at 15:12 (UTC).

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audiologic

Python utilities to process and predict on audio attributes For more information about how to use this package see README

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Package Health Score

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Readme

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Readme

Data Used:

Package Requirements

FAQs

What is audiologic?

Is audiologic popular?

Is audiologic well maintained?

Is audiologic safe to use?

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Source Code

Open Source

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Config

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