AI Analysis
Final verdict: SAFE
The package appears safe with low risks across all checks. There are no indications of malicious activities or unusual behaviors.
- Low network and shell execution risks
- Maintainer has only one package
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet connectivity.
- Shell: No shell executions detected, indicating that the package likely does not execute system commands.
- Metadata: The maintainer has only one package, suggesting they may be new or less active, but no other red flags are present.
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: haruna5718.dev
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Haruna5718/PyWebWinUI3 appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Haruna5718" 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 PyWebWinUI3
Create a modern desktop application for managing daily tasks using the PyWebWinUI3 package. This app will allow users to create, update, and delete their daily tasks, as well as categorize them into different projects or categories. The application should have a clean, user-friendly interface that closely resembles the WinUI3 style, thanks to PyWebWinUI3's integration of Svelte for the frontend and pywebview for the backend. Steps to develop the application: 1. Set up your development environment with Python and install the PyWebWinUI3 package. 2. Design the Svelte frontend to include components for task creation, editing, deletion, and categorization. Ensure the design is responsive and aligns with the WinUI3 aesthetic. 3. Use PyWebWinUI3 to wrap the Svelte frontend and integrate it with a Python backend that handles CRUD operations for tasks. 4. Implement functionality to save tasks locally using a simple file-based storage system or SQLite database. 5. Add features such as filtering tasks by category, setting due dates, and marking tasks as completed. 6. Test the application thoroughly to ensure all functionalities work correctly and the UI is intuitive and visually appealing. 7. Package the application for distribution, ensuring it runs smoothly on both Windows and macOS systems. Suggested Features: - Task creation form with fields for title, description, category, and due date. - Editable task details that can be updated at any time. - A task list view that dynamically updates based on user actions. - Filtering options to show tasks grouped by category or sorted by due date. - Marking tasks as completed and displaying them differently from active tasks. - Exporting tasks to a CSV file for backup or sharing purposes.