ansys-pythonnet

v3.1.0rc8 suspicious
6.0
Medium Risk

.NET and Mono integration for Python (Ansys, Inc. fork)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits signs of obfuscation and lacks detailed metadata, raising concerns about its integrity and purpose.

  • High obfuscation risk
  • Lack of maintainer's author details
Per-check LLM notes
  • Obfuscation: The observed patterns suggest deliberate obfuscation that could hinder code analysis and reverse engineering.
  • Credentials: No clear evidence of credential harvesting is present; however, further investigation into the package's functionality is recommended.
  • Metadata: The maintainer's author name is missing or very short, and the author has only one package, indicating potential lack of credibility.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 30 test file(s) found

  • Test runner config found: pyproject.toml
  • 30 test file(s) detected (e.g. test_array.py)
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (777 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 5 type-annotated function signatures (partial)
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 16 unique contributor(s) across 100 commits in pyansys/ansys-pythonnet
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • len(locals().keys()) m = __import__('System', globals(), locals(), ['*']) assert m.__name__ == 'System' ass
  • ickle.dumps(exc) loaded = pickle.loads(dumped) assert exc.args == loaded.args def test_chain
✓ 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

Repository pyansys/ansys-pythonnet appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 ansys-pythonnet 
Create a Python-based application that leverages the 'ansys-pythonnet' package to integrate .NET functionalities into a simulation tool for Ansys software. This tool will serve as a bridge between Python scripts and Ansys simulation engines, enabling users to run complex simulations and analyze results programmatically.

Step 1: Set Up Your Environment
- Install Python and ensure you have access to the 'ansys-pythonnet' package.
- Install any necessary .NET components required for interfacing with Ansys software.

Step 2: Define Core Features
- Develop a user-friendly interface (command-line or GUI) for initiating simulations.
- Implement functionality to load and manipulate .NET assemblies related to Ansys simulations.
- Create methods to execute simulation runs, passing parameters dynamically from Python.
- Add support for post-processing simulation data, including basic analysis and visualization.

Step 3: Detailed Implementation
- Use 'ansys-pythonnet' to import .NET classes and methods needed for running simulations.
- Write Python functions to handle simulation setup, execution, and result fetching.
- Integrate error handling and logging mechanisms to improve reliability.
- Consider adding features like saving/loading simulation configurations and exporting results.

Step 4: Testing and Validation
- Conduct thorough testing of all implemented features using various Ansys simulation scenarios.
- Validate the accuracy of simulation results against known benchmarks or manual calculations.
- Ensure the application performs efficiently and does not crash under different conditions.

Step 5: Documentation and Deployment
- Prepare comprehensive documentation explaining how to use the application effectively.
- Package the application for easy deployment on different systems, ensuring compatibility with 'ansys-pythonnet'.
- Share your work with the community, encouraging feedback and contributions.

This project aims to showcase the power of integrating Python with .NET technologies through 'ansys-pythonnet', providing a robust solution for automating and enhancing Ansys simulation workflows.

💬 Discussion Feed

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