aspen-pysys

v0.1.0a2 suspicious
5.0
Medium Risk

Python API for Aspen HYSYS

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low immediate risks but raises concerns due to the absence of maintainer history and a missing GitHub repository, which could indicate potential issues with its provenance.

  • Lack of maintainer history
  • Missing GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating no direct system command execution which reduces the risk of malicious activities.
  • Metadata: The package appears suspicious due to lack of maintainer history and a missing GitHub repository.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1448 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 145 type-annotated function signatures detected in source
○ 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: proton.me>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 aspen-pysys 
Your task is to develop a Python-based utility named 'HYSYS Process Visualizer' that leverages the 'aspen-pysys' package to interact with Aspen HYSYS models and visualize process data. This utility will serve as a bridge between Aspen HYSYS and Python, allowing users to programmatically access and manipulate Aspen HYSYS models and then display the results in an interactive graphical interface.

Step 1: Setup
- Ensure you have Aspen HYSYS installed on your machine.
- Install the 'aspen-pysys' package via pip.
- Set up a virtual environment for your project.

Step 2: Core Functionality
- Develop a function to load existing Aspen HYSYS model files (.apw) into memory using 'aspen-pysys'.
- Implement another function to run simulations on these models, allowing users to specify input parameters such as temperature, pressure, and flow rates.
- Create a feature to save the simulation results back to an Aspen HYSYS file or export them to a CSV format.

Step 3: Visualization
- Integrate Matplotlib or Plotly to create visual representations of the simulation outputs. This could include graphs showing the relationship between different variables like temperature vs. pressure, or flow rates over time.
- Add an interactive slider or input field to allow users to adjust input parameters and see real-time changes in the simulation outputs.

Step 4: User Interface
- Design a simple yet intuitive GUI using PyQt or Tkinter where users can upload Aspen HYSYS files, set simulation parameters, run simulations, and view the results.
- Include options to save plots and export data directly from the GUI.

Suggested Features:
- Support for multiple Aspen HYSYS models in one session.
- Detailed logging of all actions performed during a session for debugging purposes.
- Ability to compare simulation results from different scenarios side-by-side.
- Exporting simulation results to formats other than CSV, such as Excel (.xlsx).

How 'aspen-pysys' is Utilized:
- Use 'aspen-pysys' to load and manipulate Aspen HYSYS models within your Python scripts.
- Leverage its capabilities to extract detailed information about unit operations, streams, and overall system performance.
- Employ it to automate repetitive tasks in Aspen HYSYS modeling and analysis, making your utility a powerful tool for both learning and professional use.

💬 Discussion Feed

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