PhysixLib

v0.3.2 suspicious
4.0
Medium Risk

Formatted tensors, visualization, and other utilities for higher software abstractions based on PyTorch/Numpy for use in scientific computing applications.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks for obfuscation and credential harvesting. However, the lack of repository availability and sparse maintainer information raises concerns about its maintenance and legitimacy.

  • No obfuscation patterns detected.
  • No credential harvesting patterns detected.
  • Repository not found, indicating potential low effort or inactive status.
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is not found and the maintainer's information is sparse, indicating potential low effort or inactive status.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • self.datagen_proc = subprocess.Popen( args, stdout=os.open(os.dev
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: uah.edu>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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 PhysixLib 
Create a mini-application that simulates the behavior of particles in a 2D space under gravitational forces using the 'PhysixLib' package. This application should allow users to add multiple particles, each with customizable mass and initial velocity, into a simulated environment. The simulation will update the positions and velocities of these particles over time according to Newton's laws of motion, specifically focusing on the gravitational force between them.

The application should include the following features:
1. A graphical user interface (GUI) where users can interactively add particles by clicking and dragging to set their initial position, and input fields to specify mass and velocity.
2. Real-time visualization of the particle movements and trajectories within the GUI.
3. An option to save the current state of the simulation as a snapshot and load previously saved states.
4. A feature to pause and resume the simulation at any point.
5. Visualization tools provided by 'PhysixLib' to display vectors representing the forces acting on each particle, such as gravitational forces.

To achieve these features, utilize 'PhysixLib' for tensor operations and visualizations. For example, use 'PhysixLib' to create formatted tensors representing the positions and velocities of particles, calculate gravitational forces between particles using vectorized operations, and visualize these forces and trajectories using the visualization utilities available in 'PhysixLib'. Additionally, leverage 'PhysixLib' to optimize the performance of the simulations, especially when dealing with a large number of particles.