AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low risks in terms of network usage, shell execution, obfuscation, and credential handling. However, the incomplete maintainer's profile and potential inactivity raise concerns about its origin and maintenance.
- Incomplete maintainer profile
- Potential inactivity of the maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on projective geometry calculations.
- Shell: No shell execution patterns detected, indicating no unexpected system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has an incomplete profile and appears to be new or inactive, raising some suspicion but not conclusive evidence of malintent.
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository aaichert/ProjectiveGeometry23 appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 ProjectiveGeometry23
Develop a mini-application that simulates X-ray imaging using the 'ProjectiveGeometry23' package. This application will allow users to create a virtual environment where they can manipulate X-ray sources and detectors to understand how different configurations affect the projection of objects onto a detector plane. Here’s a detailed breakdown of the steps and features: 1. **Setup Environment**: Begin by installing the 'ProjectiveGeometry23' package and setting up your development environment in Python. 2. **Object Creation**: Allow users to input or select simple geometric shapes (e.g., cubes, spheres) as the objects to be imaged. These objects should be defined in 3D space using the package's capabilities. 3. **Source and Detector Placement**: Implement functionality for placing the X-ray source and detector in 3D space. Users should be able to adjust these positions dynamically and see immediate effects on the projection. 4. **Projection Calculation**: Utilize 'ProjectiveGeometry23' to calculate the projection of the selected object onto the detector plane based on the current positions of the source and detector. This involves using Plücker coordinates and projection matrices. 5. **Visualization**: Display both the 3D scene (object, source, and detector) and the resulting 2D projection on the detector plane side-by-side. Use libraries like Matplotlib or Plotly for visualization. 6. **Interactive Features**: Add interactive elements such as sliders or buttons to adjust the position and orientation of the source and detector in real-time, showing the updated projections. 7. **Documentation and User Guide**: Provide comprehensive documentation explaining how each component works, including the mathematical principles behind the calculations, and a user guide for operating the application. 8. **Testing and Validation**: Ensure the application is thoroughly tested with known geometries to validate its accuracy. Compare outputs with theoretical predictions or existing datasets if available.