🤖 AI Analysis

Final verdict: SAFE

The PyQt6-Charts-Qt6 package presents minimal risks across various categories such as network, shell, and obfuscation. However, its metadata suggests it may have low maintenance, which slightly elevates the overall risk score.

No network or shell execution detected
Low maintenance suggested by metadata

Per-check LLM notes

Network: No network calls detected, which is normal for a library focused on UI components.
Shell: No shell execution patterns detected, aligning with the expected behavior of a PyQt6 extension.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some signs of low maintenance but does not indicate clear malicious intent.

🔬 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: riverbankcomputing.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

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)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with PyQt6-Charts-Qt6

Create a real-time financial dashboard using the PyQt6-Charts-Qt6 package. This dashboard will allow users to visualize stock market data for multiple companies in real-time. The application should have the following features:

1. **Real-Time Data Fetching**: Integrate with a financial API (such as Alpha Vantage or IEX Cloud) to fetch real-time stock prices and other relevant metrics (e.g., volume, opening price).
2. **Multiple Stock Tracking**: Users should be able to add and remove stocks from their watchlist dynamically.
3. **Interactive Charts**: Utilize PyQt6-Charts-Qt6 to display interactive line charts showing the historical and current prices of each stock over time. Ensure these charts support zooming, panning, and tooltips for more detailed information.
4. **Customizable Interface**: Allow users to customize the appearance of the charts (e.g., colors, grid lines) and the layout of the dashboard.
5. **Alert System**: Implement a feature where users can set up alerts for specific stocks based on predefined conditions (e.g., price drops below a certain threshold).
6. **User Authentication**: Add a simple login system to save user preferences and watchlists between sessions.

For each feature, detail how PyQt6-Charts-Qt6 is utilized. For example, describe how you would create and manipulate the charts, handle user interactions with the charts, and integrate chart customization options into the UI.