AI Analysis
Final verdict: SAFE
The package adsorpy v1.2.2 has been assessed with no detected risks in network, shell, obfuscation, or credential handling. The low scores across all categories indicate that there is no immediate threat from this package.
- No network calls detected.
- No shell execution patterns identified.
- No obfuscation or credential harvesting attempts.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
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: tue.nl>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository JoostFWMaas/AdsorPy appears legitimate
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 adsorpy
Create a Python-based interactive mini-application that simulates the process of Random Sequential Adsorption (RSA) on a 2D lattice using the 'adsorpy' package. Your goal is to visualize how particles are sequentially placed onto a lattice until no more particles can fit without overlapping. This application will serve as both a learning tool for understanding RSA and a fun way to explore the effects of different particle sizes and lattice densities. **Application Features:** 1. **User Input Parameters**: Allow users to input parameters such as lattice size, particle radius, and number of particles. 2. **Simulation Visualization**: Implement a graphical user interface (GUI) using a library like Tkinter or PyQt to visually represent the lattice and particles. Display the lattice as a grid and particles as circles. 3. **Real-Time Simulation**: Show the RSA process in real-time, updating the GUI after each particle placement. 4. **Statistics Display**: Include a section in the GUI to display statistics such as the packing fraction (fraction of the lattice covered by particles), the total number of particles placed, and the estimated coverage limit based on the current settings. 5. **Reset Functionality**: Provide a button to reset the simulation to its initial state, allowing users to start over with new parameters. 6. **Save/Load Simulations**: Enable users to save their simulation configurations and results to a file, and load them back into the application. 7. **Educational Information**: Add tooltips or a help section explaining the principles behind RSA and the significance of the simulation's outputs. **Utilizing 'adsorpy':** - Use the `adsorpy` package to handle the underlying RSA logic. Specifically, utilize its functions to generate the RSA process given the user-defined parameters. Ensure you understand how to initialize the lattice, place particles, and check for overlaps. - Integrate the simulation results from 'adsorpy' into your GUI to provide visual feedback and statistical information. - Explore any additional features provided by 'adsorpy' that could enhance the simulation, such as different types of particles or varying lattice geometries.