acellera-openmm-torch-cuda-13

v1.7 suspicious
4.0
Medium Risk

CUDA platform for acellera-openmmtorch

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has no apparent malicious activities but shows signs of low maintenance and lack of transparency in its metadata.

  • Low maintenance and transparency issues
  • No detected malicious activities
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell executions detected, which is expected and safe.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low maintenance and potential lack of transparency.

🔬 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: acellera.com

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 4.0

2 maintainer concern(s) found

  • Author "Acellera" 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 acellera-openmm-torch-cuda-13
Your task is to create a mini-application that simulates molecular dynamics using the 'acellera-openmm-torch-cuda-13' package. This package combines the power of OpenMM for molecular simulation with PyTorch for GPU-accelerated computing, making it ideal for high-performance molecular dynamics simulations.

### Project Overview:
Create a simple GUI-based application where users can input basic parameters such as temperature, pressure, and simulation time, and visualize the resulting molecular dynamics simulation. The application will leverage the 'acellera-openmm-torch-cuda-13' package to perform the simulations efficiently on a CUDA-enabled GPU.

### Core Features:
1. **Parameter Input:** Users should be able to specify initial conditions like temperature, pressure, and simulation duration.
2. **Molecular Dynamics Simulation:** Utilize 'acellera-openmm-torch-cuda-13' to run molecular dynamics simulations based on user inputs.
3. **Visualization:** Implement a real-time visualization component that allows users to see the molecular system evolve over time.
4. **Result Export:** Provide an option for users to export the final state of the simulation as a data file or image.
5. **Performance Metrics:** Display performance metrics such as simulation speed and computational efficiency.

### Implementation Steps:
1. **Setup Environment:** Ensure your development environment supports Python and has 'acellera-openmm-torch-cuda-13' installed. Additionally, include necessary libraries for GUI creation and data visualization.
2. **Design User Interface:** Design a simple, intuitive GUI using a framework like PyQt or Tkinter.
3. **Integrate Simulation Logic:** Use 'acellera-openmm-torch-cuda-13' to handle the molecular dynamics calculations. Focus on optimizing the use of CUDA for parallel processing.
4. **Implement Visualization:** Create a visualization module that updates in real-time during the simulation process. Consider using Matplotlib or similar tools for plotting.
5. **Add Export Functionality:** Allow users to save the results of their simulations in formats like CSV or PNG.
6. **Optimize and Test:** Optimize the application for performance and thoroughly test it to ensure accuracy and reliability.
7. **Documentation:** Write comprehensive documentation detailing how to install and use the application, including any dependencies and setup instructions.

### Additional Suggestions:
- Incorporate error handling and validation for user inputs to prevent crashes or incorrect simulations.
- Explore ways to extend the application by adding support for different types of molecular systems or more advanced simulation techniques.
- Consider implementing a feature that allows users to load predefined molecular structures for simulations.