audio-libraries-tlk

v1.2.3 safe
3.0
Low Risk

A package to extract and manipulate data contained in a music library such as playlists or album cover artwork.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity, with low risks across all assessed categories. However, the metadata risk is slightly elevated due to incomplete author information.

  • No network or shell execution risks detected.
  • Low risk of obfuscation or credential mishandling.
  • Incomplete author metadata raises minor concerns.
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on audio processing without external dependencies.
  • Shell: No shell executions detected, aligning with expectations for a benign package focused on audio libraries.
  • Obfuscation: No obfuscation patterns detected, suggesting legitimate use.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
  • Metadata: The author's information is incomplete and they appear to be new or inactive, which raises some concern but does not strongly indicate malicious intent.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. test_convertion_functions.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7419 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 29 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 98 commits in BenoitGaston/audio-libraries-tlk
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository BenoitGaston/audio-libraries-tlk appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with audio-libraries-tlk 
Create a music library manager app called 'MusicMaven' using Python and the 'audio-libraries-tlk' package. This application will allow users to manage their local music libraries by performing various operations on their music files and metadata. Here’s a step-by-step guide on what the app should accomplish:

1. **User Interface**: Design a simple yet intuitive graphical user interface (GUI) using a Python GUI framework like PyQt5 or Tkinter.
2. **Library Scanning**: Implement a feature that scans the user's local music folder(s) and lists all the music files along with their metadata (e.g., artist, album, genre, track number).
3. **Playlist Management**: Allow users to create, edit, delete, and rename playlists. Users should also be able to add songs from their music library to these playlists.
4. **Album Artwork**: Integrate functionality to display and modify album artwork for each song or album. Users should be able to upload new images and replace existing ones.
5. **Search Functionality**: Provide a search bar where users can find songs based on different criteria such as artist name, album title, or genre.
6. **Export/Import Playlists**: Enable users to export their playlists to a file format (e.g., .m3u) and import them back into the application.
7. **Tag Editing**: Offer the ability to edit tags (metadata) of individual songs or albums directly within the application.
8. **Sorting and Filtering**: Implement sorting options for the displayed music files based on attributes like date added, last played, or popularity. Also, provide filtering capabilities to show only specific genres, artists, or albums.

The 'audio-libraries-tlk' package will be the backbone of this application, providing essential functions for extracting and manipulating music library data. Utilize its capabilities to handle the heavy lifting behind the scenes, ensuring efficient and accurate management of the music library.

💬 Discussion Feed

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