AI Analysis
Final verdict: SAFE
The package shows no signs of network or shell risks, aligning with typical behavior for a computational library. There is no indication of a supply-chain attack.
- No network calls detected
- No shell executions detected
Per-check LLM notes
- Network: No network calls detected, which is normal for a computational library like OpenMM that focuses on molecular simulation.
- Shell: No shell executions detected, aligning with the expected behavior of a scientific computing package.
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-CUDA-12
Develop a molecular dynamics simulation tool using the 'OpenMM-CUDA-12' package, which leverages the power of NVIDIA GPUs for high-performance computing. This tool will allow users to simulate the behavior of molecular systems over time, providing insights into physical properties such as temperature, pressure, and molecular interactions. Here are the steps and features to consider: 1. **Setup Environment**: Ensure your development environment is equipped with Python, CUDA, and the 'OpenMM-CUDA-12' package installed. 2. **User Interface**: Create a simple GUI using Tkinter or PyQt where users can input parameters like molecular structure files (.pdb), simulation time, temperature, etc. 3. **Simulation Engine**: Use 'OpenMM-CUDA-12' to load the molecular structure from a file, define force fields, and set up integrators for the simulation. Leverage CUDA capabilities to perform simulations faster. 4. **Visualization**: Implement real-time visualization of the simulation within the GUI, allowing users to observe the movement of molecules as the simulation progresses. 5. **Data Export**: Provide options to export simulation data in formats like CSV or JSON for further analysis. 6. **Advanced Features**: Consider adding features like adjustable simulation parameters during runtime, support for different types of force fields, and the ability to pause/resume simulations. By utilizing 'OpenMM-CUDA-12', you'll be able to take advantage of GPU acceleration, making your simulations more efficient and enabling the exploration of complex molecular behaviors.