AI Analysis
Final verdict: SUSPICIOUS
The package has minimal direct risks but concerns arise from the maintainer's anonymity and low repository activity, suggesting potential unreliability.
- Maintainer's identity not disclosed
- Low activity in the repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's lack of information and the repository's low activity suggest potential unreliability.
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: nyu.edu>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with QHOT
Your task is to develop a Python-based mini-application that leverages the QHOT package to simulate the operation of a holographic optical trapping (HOT) instrument. This application will serve as a user-friendly interface for researchers and scientists to experiment with HOT configurations without the need for physical hardware. Your goal is to create a tool that allows users to input parameters related to laser beams, particles, and environmental conditions, and then visualize the potential trapping outcomes. ### Project Scope: - **User Interface**: Develop a simple, intuitive GUI using Tkinter or a similar Python library. The interface should allow users to input various parameters such as wavelength, beam intensity, particle size, and medium refractive index. - **Simulation Engine**: Utilize the QHOT package to perform real-time simulations based on the user inputs. The simulation should calculate the optical forces acting on the particles and predict their movement under different conditions. - **Visualization**: Implement a feature to graphically display the results of the simulations. Users should be able to see the paths particles might follow when subjected to the calculated forces. - **Documentation**: Provide comprehensive documentation detailing how to use the application and explaining the underlying principles of holographic optical trapping. ### Key Features: 1. **Parameter Input Form**: A form where users can enter values for laser wavelength, beam intensity, particle radius, and medium refractive index. 2. **Real-Time Simulation**: Use QHOT to dynamically adjust the simulation based on user inputs, showing immediate effects on the output. 3. **Graphical Display**: Visual representation of the simulated environment, highlighting the positions and movements of particles over time. 4. **Save/Load Sessions**: Allow users to save their current session settings and load them later for further experimentation. 5. **Educational Mode**: Include an optional mode that provides explanations about the physics behind each simulation parameter and its impact on the overall system. ### How to Utilize QHOT Package: - **Installation**: Ensure the QHOT package is installed in your Python environment. You may need to include instructions for installation if it's not widely available. - **Integration**: Integrate QHOT functionalities into your application's backend logic. Specifically, use QHOT to compute the optical forces and other relevant metrics from user inputs. - **Visualization Mapping**: Map the computed data from QHOT onto your graphical display, allowing for a direct visual correlation between input parameters and simulation outcomes. By completing this project, you'll have created a powerful yet accessible tool for exploring holographic optical trapping, making it easier for both beginners and experts to understand and experiment with this fascinating technology.