AI Analysis
The package has minimal risks associated with network calls, shell execution, obfuscation, and credential harvesting. However, its low maintainer activity and lack of standard metadata suggest it may be of lower quality or potentially abandoned, raising some concerns.
- Low maintainer activity
- Lack of standard metadata
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function properly.
- Shell: No shell execution patterns detected, indicating low risk of executing unauthorized commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows low maintainer activity and lacks standard metadata, suggesting potential low-quality or abandoned status.
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
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional weather dashboard application using the PlayPy Python package. This application should allow users to input their location and display current weather conditions, temperature, humidity, wind speed, and a short forecast summary. Additionally, include visual elements such as icons representing the current weather condition (e.g., sun, rain, snow), and a color scheme that changes based on the temperature range. Step-by-Step Instructions: 1. Set up your development environment with Python and install the PlayPy package. 2. Design the main interface of the application using PlayPy's retained-mode UI system, including fields for user input and areas to display weather data. 3. Integrate an API from a weather service provider (such as OpenWeatherMap) to fetch real-time weather data. 4. Use PlayPy's composable rendering features to dynamically update the UI with the fetched weather information. 5. Implement a feature that allows users to switch between different cities by entering a new location or selecting from a predefined list. 6. Add interactive elements like buttons and sliders to control the refresh rate of the weather data. 7. Utilize PlayPy's layout primitives to ensure the application looks good on various screen sizes. 8. Implement a feature where the background color changes according to the temperature range: cool colors for cold temperatures and warm colors for hot temperatures. 9. Test the application thoroughly to ensure it works correctly across different scenarios and locations. 10. Document the code well, explaining how each part of PlayPy was used to achieve the desired functionality.