alpha-omega-gravity

v0.1.2 suspicious
3.0
Low Risk

Successfully unified gravity and electromagnetism.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low signs of potential risk, but the metadata quality and maintainer activity are questionable, raising concerns about its reliability and authenticity.

  • Low maintainer activity
  • Poor metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising some suspicion but not conclusive evidence of malintent.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1645 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 alpha-omega-gravity
Create a mini-application called 'GravityExplorer' that leverages the Python package 'alpha-omega-gravity', which has successfully unified gravity and electromagnetism. This application will allow users to visualize and explore the effects of these forces on various objects and scenarios.

Step 1: Define the Core Functionality
- Users should be able to input the properties of objects such as mass, charge, and position.
- Calculate the combined gravitational and electromagnetic forces acting on these objects using the 'alpha-omega-gravity' package.

Step 2: Implement Visualization Features
- Use matplotlib or a similar library to create dynamic visualizations of the force fields around the objects.
- Allow users to manipulate the position and properties of objects in real-time to see changes in the force fields.

Step 3: Add Simulation Capabilities
- Integrate physics engines like Pygame or PyBullet to simulate the motion of objects under the influence of the calculated forces.
- Provide options for different environments (e.g., vacuum, atmosphere) that affect the strength and behavior of the forces.

Step 4: Enhance User Interaction
- Develop a user-friendly GUI using Tkinter or PyQt that allows easy input of object properties and viewing of simulations.
- Include educational content explaining the unification of gravity and electromagnetism, and how the simulation works.

Utilization of 'alpha-omega-gravity':
- Import the unified force calculation functions from the package to compute the resultant force on each object based on its mass and charge.
- Use the package's visualization tools to display the combined gravitational and electromagnetic field lines around the objects.
- Apply the package's simulation capabilities to accurately model the interaction between objects over time.

💬 Discussion Feed

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