audiotoolbox

v1.10 safe
4.0
Medium Risk

Toolbox for generating and working with audio signals

🤖 AI Analysis

Final verdict: SAFE

The package audiotoolbox v1.10 poses minimal risk based on the analysis, with no network calls, shell executions, or obfuscations detected. However, the incomplete metadata slightly increases its risk score.

  • No network calls detected
  • Incomplete author details and missing GitHub link
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires online functionality.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has no associated GitHub repository and the author's details are incomplete, suggesting potential unreliability.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 14 test file(s) found

  • 14 test file(s) detected (e.g. test_audiotoolbox_stats.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1824 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

  • 47 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 audiotoolbox 
Create a mini-application called 'AudioManipulator' using the Python package 'audiotoolbox'. This tool will allow users to generate, manipulate, and analyze audio signals. Here’s a detailed breakdown of what the application should include:

1. **User Interface**: Develop a simple and intuitive graphical user interface (GUI) using Tkinter or PyQt. This GUI should enable users to interact with the application through buttons, sliders, and text inputs.

2. **Signal Generation**: Implement functionality to generate various types of audio signals such as sine waves, square waves, and noise signals. Users should be able to specify parameters like frequency, amplitude, and duration.

3. **Signal Manipulation**: Allow users to apply different effects on the generated or uploaded audio files. Effects could include filtering (low-pass, high-pass, band-pass), adding reverb, applying echo, and adjusting volume levels.

4. **Signal Analysis**: Integrate tools for basic signal analysis including frequency spectrum visualization (using FFT), waveform display, and statistical measures (mean, variance).

5. **File Handling**: Provide options to save the manipulated audio signals to disk in common formats (WAV, MP3). Also, allow users to load their own audio files for manipulation.

6. **Real-time Preview**: Enable real-time preview of changes made to the audio signal through a live audio player within the GUI.

7. **Documentation**: Include comprehensive documentation explaining how each feature works and how 'audiotoolbox' functions are utilized.

Throughout the development process, ensure that 'audiotoolbox' is leveraged effectively for tasks such as signal generation, manipulation, and analysis. The goal is to create a versatile yet user-friendly tool that showcases the capabilities of 'audiotoolbox' in practical applications.

💬 Discussion Feed

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