audian

v2.5 suspicious
4.0
Medium Risk

GUI for viewing and analyzing recordings of animal vocalizations.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package audian v2.5 appears mostly benign with no detected network, shell, or obfuscation risks. However, the metadata risk due to the maintainer's new or inactive account and lack of detailed information raises some suspicion.

  • No network or shell execution risks detected
  • Maintainer has a new or inactive account with limited details
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks detailed author information, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9640 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in bendalab/audian
  • Single author but highly active (100 commits)

🔬 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: uni-tuebingen.de>

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository bendalab/audian 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 audian
Create a mini-application using the 'audian' package that allows users to analyze animal vocalization recordings. Your application should include the following features:

1. **File Importation**: Allow users to import audio files containing animal vocalizations. Support common formats like WAV, MP3, and FLAC.
2. **Spectral Analysis**: Implement spectral analysis tools provided by 'audian' to visualize the frequency spectrum of the imported audio files. Users should be able to adjust parameters such as window size and overlap to customize their analysis.
3. **Waveform Visualization**: Display the waveform of the audio file alongside the spectrogram for a comprehensive view of the sound data.
4. **Annotation Tool**: Include an annotation tool where users can mark specific segments of the audio file for closer inspection. These annotations should be saved with the audio file metadata.
5. **Playback Controls**: Provide basic playback controls (play, pause, stop, fast forward, rewind) to navigate through the audio file easily.
6. **Export Functionality**: Enable users to export both the annotated audio file and the analysis results in a user-friendly format such as CSV or JSON.
7. **User Interface**: Design an intuitive and clean user interface that makes it easy for users to interact with the application without needing extensive technical knowledge.

Your task is to outline the steps required to develop this application, including how to integrate 'audian', handle file operations, implement the UI, and ensure all functionalities work seamlessly together. Consider how you would structure your code to make it modular and maintainable.

💬 Discussion Feed

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