AI Analysis
The package shows minimal risk with no network calls, shell executions, or credential harvesting attempts. However, the incomplete author information and possibly inactive maintainer slightly elevate the metadata risk.
- No network calls detected
- Incomplete author information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires online services.
- Shell: No shell execution patterns 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 author information is incomplete and the maintainer seems to be new or inactive, which could indicate potential risk.
Package Quality Overall: Medium (6.4/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://visualization-interface.tools.docs.pyansys.com/Detailed PyPI description (4982 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
20 type-annotated function signatures detected in source
Active multi-contributor project
7 unique contributor(s) across 100 commits in ansys/ansys-tools-visualization-interfaceActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: ansys.com>
All external links appear legitimate
Repository ansys/ansys-tools-visualization-interface appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to create a simple yet powerful mini-application that leverages the 'ansys-tools-visualization-interface' Python package to visualize engineering data from Ansys simulations. This application will serve as a tool for engineers to better understand their simulation results through interactive visualizations. Here are the steps and features you should include in your project: 1. **Setup Environment**: Ensure that you have Python installed along with the 'ansys-tools-visualization-interface' package. Also, install any other necessary dependencies like matplotlib, numpy, etc. 2. **Data Input**: Develop a feature that allows users to input Ansys simulation result files (.rst files). These files contain the data that the application will use for visualization. 3. **Visualization Options**: Implement various visualization options such as 3D plots, contour plots, and streamlines. Use the 'ansys-tools-visualization-interface' package to generate these visualizations directly from the inputted Ansys result files. 4. **Interactive Controls**: Add interactive controls to the application so users can manipulate the visualizations (e.g., rotate, zoom, pan). This will allow users to explore the data from different angles and perspectives. 5. **Customization Features**: Include customization options where users can change colors, add labels, and adjust other settings to tailor the visualization to their needs. 6. **Export Functionality**: Provide functionality for users to export the visualizations as images or videos, which they can then use in reports or presentations. 7. **Documentation and User Guide**: Create comprehensive documentation and a user guide that explains how to use the application, including screenshots and examples. Remember to utilize the 'ansys-tools-visualization-interface' package's core features effectively throughout your project. Your goal is to make this application user-friendly and highly functional for engineers working with Ansys simulation data.
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