🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network activity, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to the author having only one other package, which raises some suspicion.

Low risk in network calls, shell execution, obfuscation, and credential harvesting.
Elevated metadata risk due to the author having only one other package.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communication.
Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no risk of secret theft.
Metadata: The author has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Tucan444/Hypercrystal appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Nix" 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 Hypercrystal

Create a real-time hyperbolic visualization tool using the Hypercrystal package. This tool will allow users to visualize data points in a hyperbolic space, providing an immersive and interactive experience. The application should support the following features:

1. User Input: Users should be able to input data points either manually or through a file upload. Data points could represent various types of information, such as geographical locations, social media interactions, or any dataset that can be represented in a two-dimensional plane.

2. Real-Time Rendering: Utilize Hypercrystal's capabilities to render these data points in real-time within a hyperbolic space. The rendering should dynamically adjust based on user interactions, such as zooming in/out or panning across the rendered space.

3. Interactive Controls: Implement interactive controls for users to manipulate the view of the hyperbolic space. These controls should include options to zoom in/out, pan across the space, and rotate the view around different axes.

4. Customization Options: Allow users to customize the appearance of the rendered points, including color, size, and shape. Users should also have the ability to select which attributes of their data points are mapped to visual properties like color or size.

5. Save & Share: Provide functionality for users to save their current visualization state and share it with others. This feature should allow users to generate a link or download a snapshot of the visualization.

6. Educational Mode: Include an educational mode that explains the concept of hyperbolic geometry and its applications in data visualization. This mode should provide interactive examples and explanations that users can explore at their own pace.

Utilize Hypercrystal's framework to handle the low-level details of hyperbolic rendering and integration with Pygame-ce, focusing on building the user interface and implementing the above features. Your goal is to create a fully functional, intuitive, and visually appealing application that showcases the unique capabilities of hyperbolic visualization.