AI Analysis
The package shows minimal risk across all categories with no signs of malicious intent or unusual behavior. The metadata risk is slightly elevated due to the maintainer's low number of packages and lack of PyPI classifiers, but this alone does not indicate a supply-chain attack.
- Low network and shell risks
- No obfuscation or credential harvesting
- Elevated metadata risk due to maintainer's profile
Per-check LLM notes
- Network: No network calls suggest the package is not designed to communicate externally.
- Shell: No shell execution patterns indicate that the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a low number of packages and lacks PyPI classifiers, suggesting potential low effort or new account 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: riverbankcomputing.com
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author "Riverbank Computing Limited" 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
Build a simple Python application using the PyQt6-3D-Qt6 package to demonstrate its core features.
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