auglib

v1.0.5 safe
3.0
Low Risk

Audio augmentations

🤖 AI Analysis

Final verdict: SAFE

The package does not exhibit any signs of malicious behavior based on the provided analysis notes. It poses a low risk with no network calls, shell executions, obfuscations, or credential risks.

  • No network calls
  • No shell executions
  • No obfuscation
  • No credential harvesting
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no direct system command execution by the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: The maintainer has only one package, suggesting a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 37 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 37 test file(s) detected (e.g. conftest.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "documentation" -> https://audeering.github.io/auglib/
  • 2 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (2106 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

  • 95 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in audeering/auglib
  • Small but multi-author team (3–4 contributors)

🔬 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: audeering.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository audeering/auglib appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Johannes Wagner, Andrea Crespi, Andreas Triantafyllopoulos, BahaEddine Abrougui" 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 auglib 
Create a Python-based mini-application called 'AudioAugmentor' that leverages the 'auglib' library to perform various audio augmentation techniques on input sound files. This application should allow users to upload their own audio files and apply a series of transformations to them, such as adding noise, changing pitch, applying time stretching, and more. The application should also have a feature to preview the augmented audio before saving it to the user's local storage.

The main steps for building this application are as follows:
1. Set up a basic command-line interface where users can specify the path to their audio file and select from a list of available augmentation options provided by 'auglib'.
2. Implement functions within your application to apply each type of augmentation using 'auglib', ensuring that the output is saved in a new file.
3. Add a feature that allows users to preview the augmented audio directly from the command line interface.
4. Enhance the application by allowing users to chain multiple augmentations together in a single operation.
5. Finally, provide an option for users to save the augmented audio file to their local directory after previewing it.

Suggested features for 'AudioAugmentor' include:
- A comprehensive list of augmentation types supported by 'auglib', including but not limited to noise addition, pitch shifting, time stretching, and reverberation.
- An easy-to-use command-line interface that guides users through the process of selecting an input file and choosing augmentations.
- Real-time preview of the augmented audio to help users decide if they want to proceed with saving the file.
- Support for common audio formats like WAV, MP3, and FLAC.
- Error handling to manage cases where the input file is not compatible with 'auglib'.

By following these steps and incorporating the suggested features, you'll create a powerful yet user-friendly tool for experimenting with audio augmentations.

💬 Discussion Feed

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