lb-matching-tools

v2024.1.30.1

ListenBrainz tools for matching metadata to and from MusicBrainz. For more information about how to use this package see README

Latest version published 10 months ago

License: GPL-2.0

PyPI

GitHub

Package Health Score

59 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Limited

Popularity

Limited

GitHub Stars: 4
Forks: 4
Contributors: 4

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package lb-matching-tools, we found that it has been starred 4 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jan 30, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 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

GPL-2.0

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

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Maintenance

Sustainable

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 10 months ago
Last Commit: 10 months ago

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

We found that lb-matching-tools demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: Yes
Contributors: 4
Funding: Yes

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.8

Age: 10 months
Latest Release: 10 months ago
Dependencies: 1 Direct
Versions: 3
Maintainers: 3
Wheels: OS Independent

Readme

ListenBrainz matching tools

In the ListenBrainz project we've created a number of tools and techniques that allowed us to create the MBID Mapping sub-project. This project takes an artist name and a recording (track) name and attempts to find the best matching recording in MusicBrainz.

This library will contain code to facilitate matching non-MusicBrainz metadata to MusicBrainz (tag a music collection) and from MusicBrainz to non-MusicBrainz metadata (content resolution).

Metadata cleaner

One component in this toolkit is the metadata cleaner, which removes (often) useless gunk from a metadata recording string:

"Tabula Rasa (feat. Lorraine Weiss)" -> "Tabula Rasa"
"Don't Give up - 2001 remaster" -> "Don't Give up"

This library also supports artist name cleaning:

"Amy Winhouse, Lorraine Weiss" -> "Amy Winehouse"

When a piece of metadata fails to be identified the metadata should be run through the metadata cleaner in an effort to remove this useless gunk that might be preventing a match. If the cleaner sucessfully removes gunk, the cleaned metadata should be looked up again, hoping that a match will be found this time.

To use this class, instantiate the MetadataCleaner class and call the clean_recording or clean_artist methods:

from lb_matching_tools.cleaner import MetadataCleaner

mc = MetadataCleaner()
mc.clean_recording("Tabula Rasa (feat. Lorraine Weiss)")
mc.clean_artist("Amy Winhouse, Lorraine Weiss")

Installation

To install this python module, simply do:

pip install .

Development

Create virtual environment

python -m venv .venv

Install dependencies

pip install .

Running tests

To run the internal unit tests, run:

pip install .
./test.py

lb-matching-tools dependencies

regex

FAQs

What is lb-matching-tools?

ListenBrainz tools for matching metadata to and from MusicBrainz. Visit Snyk Advisor to see a full health score report for lb-matching-tools, including popularity, security, maintenance & community analysis.

Is lb-matching-tools popular?

The python package lb-matching-tools receives a total of 400 weekly downloads. As such, lb-matching-tools popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is lb-matching-tools well maintained?

We found indications that lb-matching-tools maintenance is sustainable demonstrating some project activity. We saw a total of 4 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is lb-matching-tools safe to use?

The python package lb-matching-tools 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 27 November-2024, at 01:30 (UTC).

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