babelwidget

v2026.2 safe
3.0
Low Risk

A Meta Widget Library That Speaks Several Backends

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity or obfuscation, and there are no network or shell risks. The metadata risk is slightly elevated due to the maintainer's single package, but this alone does not suggest a supply-chain attack.

  • No network calls
  • No shell execution
  • No obfuscation patterns
  • No credential risks
  • Maintainer with only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no direct system command execution risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags were identified.

📦 Package Quality Overall: Low (4.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://src.koda.cnrs.fr/eric.debreuve/babelwidget/-/wikis/h
  • Detailed PyPI description (4058 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 40 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: cnrs.fr

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Eric Debreuve" 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 babelwidget 
Create a versatile language translation tool using Python's 'babelwidget' package. This mini-app will serve as a bridge between different backends, allowing users to input text in one language and receive translations into multiple supported languages. Here’s a detailed plan on how to build it:

1. **Project Setup**: Start by setting up your Python environment. Ensure you have the latest version of 'babelwidget' installed via pip.

2. **Core Functionality**: Design the main function of the app which takes user input (text to translate) and a target language. Use 'babelwidget' to handle the translation process seamlessly across various backend services.

3. **Backend Integration**: Utilize 'babelwidget' to integrate at least three different translation backends (e.g., Google Translate API, Microsoft Translator Text API, Yandex.Translate). This showcases the package's ability to communicate with diverse services.

4. **User Interface**: Develop a simple yet effective UI using a framework like Streamlit or Flask. The interface should allow users to select their source language, target languages, and enter the text they wish to translate.

5. **Feature Enhancements**:
   - **Multiple Language Support**: Allow users to select multiple target languages for a single input.
   - **History Feature**: Implement a history feature where past translations are stored and can be revisited.
   - **Error Handling**: Add robust error handling to manage issues like API rate limits or connection errors.

6. **Testing & Deployment**: Thoroughly test the application with various inputs and edge cases. Once satisfied, deploy the app either locally or to a cloud service provider like Heroku or AWS.

7. **Documentation**: Write comprehensive documentation explaining how to use the app, how it works under the hood with 'babelwidget', and how to install and run the application.

By following these steps, you'll create a powerful and flexible translation tool that leverages the unique capabilities of 'babelwidget'.

💬 Discussion Feed

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