AI Analysis
Final verdict: SAFE
The package is deemed safe due to its lack of obfuscation and credential harvesting patterns. However, it exhibits signs of low maintenance.
- No obfuscation or credential risks detected
- Low maintenance activity indicated
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some signs of low maintenance but lacks clear indicators of malicious intent.
Package Quality Overall: Low (3.6/10)
✦ High
Test Suite
9.0
Test suite present — 11 test file(s) found
Test runner config found: pyproject.toml11 test file(s) detected (e.g. test_app_utilities.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (1435 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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: ansys.com
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 "ANSYS, Inc." 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 ansys-api-fluent
Create a fully-functional mini-application that allows users to interact with ANSYS Fluent simulations using the 'ansys-api-fluent' Python package. Your application should enable users to perform basic simulation setup, run simulations, and visualize results. Here’s a detailed breakdown of what your application should include: 1. **User Interface**: Develop a simple GUI using PyQt or Tkinter to allow users to input parameters such as geometry file paths, boundary conditions, material properties, and solver settings. 2. **Simulation Setup**: Utilize the 'ansys-api-fluent' package to set up the simulation environment based on user inputs. This includes defining domains, materials, boundary conditions, and initial conditions. 3. **Run Simulation**: Implement a function that triggers the execution of the simulation through the 'ansys-api-fluent'. Ensure that the application can handle different types of simulations like steady-state and transient analyses. 4. **Result Visualization**: After the simulation completes, use matplotlib or another plotting library to display key results such as velocity vectors, pressure distribution, and temperature contours. 5. **Error Handling and Logging**: Integrate error handling mechanisms to catch and log any issues encountered during the simulation process. Provide feedback to the user about the status of their simulation. 6. **Documentation**: Write comprehensive documentation explaining how to install dependencies, run the application, and interpret the results. By leveraging the functionalities provided by 'ansys-api-fluent', you will streamline the process of setting up and running ANSYS Fluent simulations, making it more accessible to users without deep knowledge of Fluent's command-line interface.
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