audinterface

v1.3.2 safe
3.0
Low Risk

Generic interfaces for signal processing

🤖 AI Analysis

Final verdict: SAFE

The package audinterface v1.3.2 has minimal risks associated with network, shell execution, and obfuscation. However, the metadata risk slightly increases due to the authors having only one package on PyPI.

  • No network calls detected.
  • No shell executions detected.
  • Low obfuscation risk.
  • Authors have only one package on PyPI.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell executions detected, indicating no immediate risk of command injection or backdoor.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The authors have only one package on PyPI, which could indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

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

Well-documented package

  • Documentation URL: "documentation" -> https://audeering.github.io/audinterface/
  • 2 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (1493 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

  • 66 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/audinterface
  • 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/audinterface appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Johannes Wagner, Andreas Triantafyllopoulos" 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 audinterface 
Develop a mini-application named 'AudioSegmentAnalyzer' using Python that leverages the 'audinterface' package to process and analyze audio files. This tool will allow users to upload an audio file, extract specific segments of interest based on user-defined criteria, and perform basic signal processing tasks such as filtering and spectral analysis. The application should also provide visualizations of the processed data for easy interpretation.

Steps to follow:
1. Set up the environment: Install necessary packages including 'audinterface', 'numpy', 'matplotlib', and 'pandas'.
2. Design a simple GUI using a library like Tkinter for file uploading and parameter input.
3. Implement functionality to load an audio file into memory using 'audinterface'.
4. Allow users to specify segment boundaries (start and end times) and apply filters (e.g., low-pass, high-pass) to these segments.
5. Use 'audinterface' to extract relevant signal features from the specified segments, such as frequency spectrum, amplitude envelope, etc.
6. Visualize the raw and processed audio data alongside the extracted features using matplotlib.
7. Optionally, save the processed data and visualizations to a file for future reference.

Features:
- User-friendly GUI for file selection and parameter configuration.
- Support for multiple filter types (low-pass, high-pass, band-pass).
- Real-time visualization of the audio signal and its processed form.
- Saving options for both the processed data and visual outputs.

How 'audinterface' is utilized:
- To load and manage audio signals efficiently.
- For segmenting the audio based on user-defined intervals.
- To apply various signal processing operations on the selected segments.
- For extracting meaningful features from the audio data.

💬 Discussion Feed

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