audbcards

v0.4.4 safe
3.0
Low Risk

Create data cards for audb databases

🤖 AI Analysis

Final verdict: SAFE

The package audbcards has minimal risk indicators, with no detected network calls, shell executions, or obfuscations. While there is some concern regarding the repository's low activity and the maintainer's limited history, these factors alone do not indicate malicious intent.

  • No network calls
  • No shell executions
  • Repository with low activity and limited maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The repository's low activity and the maintainer's limited history suggest potential unreliability, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: conftest.py
  • 5 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "documentation" -> https://audeering.github.io/audbcards/
  • 1 documentation file(s) (e.g. conf.py)
○ 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

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

Active multi-contributor project

  • 3 unique contributor(s) across 97 commits in audeering/audbcards
  • 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "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 audbcards 
Create a mini-application called 'AudioDataExplorer' using Python that leverages the 'audbcards' package to generate data cards for various audio databases stored in audb format. The application should allow users to browse through different audio datasets, view metadata about each dataset, and generate detailed data cards for further analysis. Here are the key steps and features your application should include:

1. **Setup**: Begin by installing the necessary packages including 'audbcards'. Ensure your environment is set up to handle both Python and the specific dependencies required for working with audb databases.
2. **Database Connection**: Implement a feature within the application that allows users to connect to their audb databases. This should support multiple databases from a predefined list or allow for custom database connections.
3. **Metadata Display**: Once connected to a database, display basic metadata such as the number of audio files, categories of audio clips, and other relevant information about the dataset.
4. **Data Card Generation**: Utilize the 'audbcards' package to generate detailed data cards for the selected dataset. These cards should include comprehensive information about the dataset structure, audio file details, and any other pertinent data points.
5. **Visualization**: Integrate visualization tools to help users better understand the dataset. This could include graphs showing distribution of audio files across categories, timelines of when the audio was recorded, etc.
6. **Export Functionality**: Allow users to export the generated data cards and visualizations in formats like PDF or CSV for offline analysis or sharing.
7. **User Interface**: Develop a simple yet intuitive user interface for interacting with the application. It should be easy for non-technical users to navigate through the datasets and generate reports.
8. **Documentation**: Provide thorough documentation explaining how to use the application, including setup instructions, usage examples, and explanations of the features provided.

By completing these steps, you'll have a fully-functional mini-app that not only connects to audb databases but also helps users gain deeper insights into their audio datasets through detailed data card generation and visualization.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!