OGRePy

v2.0.0 suspicious
3.0
Low Risk

An Object-Oriented General Relativity Package for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low technical risks but has incomplete metadata regarding the author, raising some suspicion about its origins and intentions.

  • Incomplete author information
  • Potential new or inactive author
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 no immediate signs of malicious activity or backdoors.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and they may be new or inactive, 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository bshoshany/OGRePy appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 OGRePy 
Create a fully-functional mini-application that allows users to explore fundamental concepts of general relativity through interactive visualizations and calculations. The application should utilize the 'OGRePy' package, which is designed to simplify complex general relativity computations in a Python environment.

Step 1: Define the User Interface
- Develop a simple yet intuitive graphical user interface using a Python library like Tkinter or PyQt.
- Include input fields for parameters such as mass, radius, and coordinates.
- Provide buttons for different actions, such as calculating metrics, geodesics, and curvature tensors.

Step 2: Implement Core Calculations
- Use OGRePy to calculate the Schwarzschild metric given a mass parameter.
- Allow users to compute geodesics for various initial conditions and visualize them in a 3D space.
- Enable users to calculate and display components of the Riemann curvature tensor for different spacetimes.

Step 3: Add Interactive Visualizations
- Integrate OGRePy's capabilities to generate plots of spacetime curvature around black holes.
- Offer real-time visualization of geodesic paths based on user inputs.
- Provide a feature to compare different spacetimes by plotting their respective metrics side by side.

Suggested Features:
- A tutorial section explaining key concepts in general relativity, linking to external educational resources.
- An option for advanced users to input custom metrics and see corresponding geodesics and curvatures.
- Integration with online databases or APIs for real-world data related to black holes and gravitational waves.

How OGRePy is Utilized:
- OGRePy's object-oriented design will allow for easy instantiation of spacetime objects, such as Schwarzschild or Kerr metrics.
- Users can manipulate these objects directly via the GUI to change parameters and observe changes in calculated outputs.
- OGRePy's built-in functions for tensor calculus will be leveraged to perform all necessary mathematical operations behind the scenes.