AI Analysis
The package appears to be legitimate with no signs of malicious activity. However, the maintainer's limited presence raises some concerns.
- No network calls or shell executions detected.
- Maintainer has only one package and lacks a GitHub repository.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell executions detected, indicating the package does not execute system commands, which is typical for most Python libraries.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
- Metadata: The maintainer has only one package and lacks a GitHub repository, which may indicate a new or less active account.
Package Quality Overall: Low (3.8/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (3778 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
4 type-annotated function signatures (partial)
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "Elias Benbourenane" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to create a mini-application that leverages the 'anibridge-library-base' Python package to provide users with a seamless way to manage and interact with various anime library providers. This application will serve as a bridge between different anime databases and streaming services, allowing users to search, compare, and access information about anime titles across multiple platforms. The application should include the following core functionalities: 1. **Library Provider Integration**: Utilize the 'anibridge-library-base' package to integrate with at least three different anime library providers (e.g., MyAnimeList, AniDB, Crunchyroll). Each provider should be represented as a class inheriting from the base classes provided by 'anibridge-library-base'. 2. **User Authentication**: Implement a simple user authentication system where users can log in to their accounts on each of the integrated providers. Store user credentials securely using environment variables or a secure vault service. 3. **Search Functionality**: Allow users to search for anime titles across all integrated providers. Display results in a unified format, including title, synopsis, rating, and links to more information on the respective provider's site. 4. **Comparison Tool**: Enable users to select multiple anime titles and compare them side by side. This feature should highlight differences in ratings, genres, and other relevant metadata. 5. **Favorite List Management**: Users should be able to add titles they like to a favorite list. This list should persist across sessions and be accessible through the app. 6. **Notification System**: Integrate a basic notification system that alerts users when new episodes of their favorite shows become available on any of the connected providers. 7. **Responsive Design**: Ensure the application has a responsive design suitable for both desktop and mobile devices. 8. **Documentation**: Provide comprehensive documentation for the application, including setup instructions, API usage guidelines, and examples of how to extend the functionality. In addition to these core functionalities, consider implementing one or two optional features to enhance the user experience, such as a recommendation engine based on user preferences or social sharing capabilities. To utilize the 'anibridge-library-base' package effectively, focus on extending its base classes to fit the specific requirements of each anime library provider. Pay special attention to error handling, data consistency, and security practices throughout the development process.
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