ansys-cfx-core

v0.2.5 safe
4.0
Medium Risk

PyCFX is a Python wrapper for Ansys CFX, the gold standard CFD software for turbomachinery applications.

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with it, with no signs of obfuscation or credential mishandling. The network and shell risks are moderate but likely due to legitimate functionality rather than malicious intent.

  • Moderate network and shell execution risks
  • Incomplete author metadata
Per-check LLM notes
  • Network: Network calls to check status or retrieve content from URLs might be legitimate if the package interacts with external services.
  • Shell: Executing shell commands like git operations can be common for version control information but should be scrutinized for unintended side effects or potential misuse.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The author information is incomplete, which may indicate lack of transparency or a new/marginal maintainer.

📦 Package Quality Overall: Medium (7.4/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: conftest.py
  • 3 test file(s) detected (e.g. conftest.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://cfx.docs.pyansys.com
  • 3 documentation file(s) (e.g. api_rstgen.py)
  • Detailed PyPI description (5097 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

  • 180 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 10 unique contributor(s) across 86 commits in ansys/pycfx
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • """ try: with urllib.request.urlopen(url) as response: return response.status
  • of the URL. """ with urllib.request.urlopen(url) as response: return response.read() #
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • cmd_list}") # subprocess.Popen( # cmd_list, # stdou
  • t_commit_time = ( subprocess.check_output(["git", "log", "-n", "1", "--pretty=tformat:%ad"])
  • ails["ShaID"] = ( subprocess.check_output(["git", "rev-parse", "--short", "HEAD"]).decode("ascii").str
  • ils["Branch"] = ( subprocess.check_output(["git", "branch", "--show-current"]).decode("ascii").strip()
  • : {launch_cmd}") subprocess.Popen(launch_cmd, **kwargs) try: _awa
  • ch_cmd}") subprocess.Popen(launch_cmd, **kwargs) _await_cfx_launch(
✓ 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 ansys/pycfx 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-cfx-core 
Your task is to develop a Python-based mini-application that leverages the 'ansys-cfx-core' package to simulate fluid dynamics around a simple geometric shape, such as a cylinder or a sphere. This application will serve as a basic tool for engineers and students to understand the principles of Computational Fluid Dynamics (CFD) without needing to dive deep into the complexities of Ansys CFX itself.

### Project Scope:
- **User Interface**: Develop a simple GUI using PyQt5 or Tkinter where users can input parameters such as Reynolds number, fluid properties, and geometry dimensions.
- **Simulation Execution**: Use 'ansys-cfx-core' to set up and run CFX simulations based on user inputs. The package allows for the creation and manipulation of CFX cases and solutions.
- **Visualization**: Integrate matplotlib or another plotting library to visualize the simulation results, such as velocity vectors and pressure contours.
- **Report Generation**: Automatically generate a PDF report summarizing the simulation conditions, key results, and visualizations.

### Steps to Implement:
1. **Setup Environment**: Ensure your Python environment includes 'ansys-cfx-core', matplotlib, and any chosen GUI toolkit.
2. **Design GUI**: Create a user-friendly interface where users can input necessary parameters for the CFD simulation.
3. **Integrate ansys-cfx-core**: Utilize 'ansys-cfx-core' to configure and execute the CFX simulation based on the user inputs.
4. **Result Visualization**: Display the simulation results in real-time within the application using matplotlib.
5. **Generate Report**: Implement functionality to automatically create a PDF report containing all the simulation details and visualizations.
6. **Testing & Validation**: Validate the application by comparing its outputs against known benchmarks or theoretical values.
7. **Documentation**: Write comprehensive documentation detailing how to install, use, and extend the application.

### Suggested Features:
- **Parameter Sensitivity Analysis**: Allow users to vary one parameter at a time and observe changes in simulation outcomes.
- **Multiple Geometry Support**: Extend the application to support different shapes beyond a single type.
- **Customizable Boundary Conditions**: Provide options for users to define custom boundary conditions for their simulations.
- **Interactive Tutorial**: Include an interactive tutorial within the application to guide new users through the process of setting up and running simulations.

💬 Discussion Feed

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