OpenMM-HIP-6

v8.5.1 suspicious
4.0
Medium Risk

HIP platform for OpenMM

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks across multiple categories, but the metadata suggests the maintainer might be new or less active, warranting closer scrutiny.

  • Maintainer has only one other package
  • Lack of PyPI classifiers
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 no unexpected system command executions.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating low risk of unauthorized access.
  • Metadata: The maintainer has only one other package and lacks PyPI classifiers, indicating low effort or newness which could suggest caution.

🔬 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 4.0

2 maintainer concern(s) found

  • Author "Peter Eastman" 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 OpenMM-HIP-6
Your task is to develop a molecular dynamics simulation mini-app using the 'OpenMM-HIP-6' package, which provides a HIP (Heterogeneous-Compute Interface for Portability) platform for OpenMM, enabling efficient simulations on various hardware architectures including GPUs and CPUs. This app will allow users to input parameters for a simple molecular system and run simulations to observe the dynamic behavior of molecules over time.

The mini-app should have the following features:
1. User Interface: A simple GUI where users can input basic molecular parameters such as number of particles, particle masses, initial positions, velocities, and force field type.
2. Simulation Engine: Utilize the 'OpenMM-HIP-6' package to set up and run molecular dynamics simulations based on user inputs. Ensure that the simulation can leverage the HIP platform for performance optimization.
3. Visualization: Implement a real-time visualization feature to display the movement and interaction of molecules during the simulation. Use matplotlib or similar libraries to create visual outputs.
4. Output: Provide options to save the simulation results in a file format that can be read by other molecular visualization software like VMD or PyMOL.
5. Documentation: Include comprehensive documentation detailing how to use the app, install dependencies, and run simulations with different parameters.

Step-by-step guide to building the mini-app:
1. Set up your development environment with Python and install necessary packages including 'OpenMM-HIP-6', 'PyQt5' for the GUI, and 'matplotlib' for visualization.
2. Design the user interface using PyQt5, allowing users to input simulation parameters.
3. Integrate 'OpenMM-HIP-6' into your app to handle the simulation logic. Configure the simulation settings according to user inputs and ensure it runs efficiently on the HIP platform.
4. Develop the visualization component to show the simulation in real-time. Update the visualization based on the current state of the simulation.
5. Add functionality to save simulation data in a compatible file format.
6. Write documentation explaining the usage, setup, and customization options for the app.