AI Analysis
Final verdict: SAFE
The package shows minimal risk indicators with no network calls, shell executions, or obfuscation techniques. However, the metadata risk score is slightly elevated due to the lack of maintainer details and potential inactivity.
- No network calls detected
- Maintainer's author name missing or very short
- Single package on PyPI
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell executions detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's author name is missing or very short, and the author seems to be new or inactive with only one package on PyPI.
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository SINTEF/FEEMS 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 RunFeemsSim
Create a mini-application called 'FeemsSimExplorer' that leverages the RunFeemsSim Python package to simulate and visualize various scenarios based on the feems model. This application should allow users to input different parameters such as initial conditions, simulation duration, and specific feems rules, and then run simulations accordingly. The results should be presented both numerically and visually through graphs and charts. Key Features: 1. User Interface: Develop a simple, intuitive UI using a Python framework like PyQt5 or Tkinter where users can enter simulation parameters. 2. Simulation Engine: Utilize RunFeemsSim's core functionalities to handle the backend processing of the simulations. 3. Visualization Module: Implement a module that generates visual representations of the simulation results using matplotlib or seaborn libraries. 4. Saving Results: Allow users to save the simulation data and visualizations as files (CSV for data, PNG for images). 5. Documentation: Provide clear documentation explaining how to use FeemsSimExplorer, including examples of typical use cases and parameter settings. Steps to Build the Application: 1. Set up the development environment by installing necessary packages, including RunFeemsSim, matplotlib, and the chosen UI framework. 2. Design the user interface, ensuring it includes fields for all required inputs and buttons for starting the simulation and saving outputs. 3. Integrate RunFeemsSim into your application so that it can receive user inputs and execute simulations based on those inputs. 4. Create a visualization function that takes the output from RunFeemsSim and converts it into graphical form, which can be displayed within the app or saved externally. 5. Implement functionality for saving simulation data and visualizations. 6. Test the application thoroughly to ensure all features work correctly and provide meaningful outputs. 7. Write comprehensive documentation detailing each feature, usage instructions, and example scenarios.