audio-tensor-plotter

v0.4.1 suspicious
6.0
Medium Risk

Simple tools for plotting spectrograms and audio data

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risk in terms of network calls, shell executions, obfuscation, and credential handling. However, the repository's low activity and the maintainer's limited history raise concerns about its reliability and long-term support.

  • No network calls or shell executions detected.
  • Repository shows low activity and the maintainer has limited history.
Per-check LLM notes
  • Network: No network calls suggest normal behavior for a plotting library.
  • Shell: No shell executions suggest no immediate execution risks.
  • Obfuscation: No obfuscation patterns detected, suggesting legitimate use.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
  • Metadata: The repository's low activity and the maintainer's limited history suggest potential unreliability.

📦 Package Quality Overall: Low (3.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (606 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 4 type-annotated function signatures (partial)
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 12 commits in Stonewall-Defense/plot-spec
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: certusinnovations.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://semver.org/
⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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-tensor-plotter 
Create a mini-application called 'AudioVisualizer' that leverages the 'audio-tensor-plotter' Python package to visualize audio data in real-time. The application should allow users to upload an audio file (e.g., .wav, .mp3), process it to generate a spectrogram, and display both the waveform and the spectrogram side by side for comparison. Additionally, include features such as the ability to save the visualizations as images, adjust color schemes for better visualization, and provide basic audio playback controls (play, pause, stop). Here are the detailed steps and features to implement:

1. **Setup Environment**: Ensure Python and the necessary libraries, including 'audio-tensor-plotter', are installed.
2. **User Interface**: Develop a simple GUI using a library like Tkinter or Streamlit for user interaction.
3. **File Upload**: Allow users to upload their audio files through the interface.
4. **Audio Processing**: Use 'audio-tensor-plotter' to convert the uploaded audio file into a tensor format suitable for generating spectrograms and waveforms.
5. **Visualization**: Plot the waveform and spectrogram of the uploaded audio file using 'audio-tensor-plotter'. Display these plots side by side within the GUI.
6. **Save Visualizations**: Implement functionality to save the plotted spectrogram and waveform as image files.
7. **Customization**: Offer options to customize the appearance of the plots, such as changing colors or adjusting plot parameters.
8. **Audio Playback**: Integrate basic audio playback controls allowing users to play, pause, and stop the audio file they have uploaded.
9. **Testing and Documentation**: Thoroughly test the application and document the code and usage instructions.

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