aseview

v0.0.9 safe
3.0
Low Risk

A molecular viewer for ASE (Atomic Simulation Environment) data

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with no direct network calls, obfuscation, or credential risks. The shell execution for Node.js checks is potentially benign but warrants further review of the package's documentation and functionality.

  • Shell execution detected but possibly benign
  • Incomplete author metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal and not suspicious.
  • Shell: Detection of shell execution to check Node.js version and linting is unusual but could be benign if the package requires Node.js for certain functionalities. Further investigation into package documentation and source code is recommended.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete, and they may be new or inactive.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • 5 test file(s) detected (e.g. test_imports.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://kangmg.github.io/aseview
  • Detailed PyPI description (11357 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

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

Active multi-contributor project

  • 7 unique contributor(s) across 100 commits in kangmg/aseview
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • _has_node(): try: subprocess.run(["node", "--version"], capture_output=True, check=True)
  • x errors.""" result = subprocess.run( ["node", "--check", js_file], captu
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: kentech.ac.kr>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository kangmg/aseview 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 aseview 
Create a desktop application named 'MolVisPro' using Python that allows scientists and researchers to visualize molecular structures easily and efficiently. The application should leverage the 'aseview' package to render and manipulate atomic simulation environment (ASE) data. Here’s a detailed breakdown of what the application should include:

1. **User Interface**: Design a user-friendly interface where users can load molecular data files (e.g., .xyz, .cif, .pdb). Ensure the UI supports common operations like zooming, rotating, and panning the view.
2. **Molecular Visualization**: Use 'aseview' to display molecules in 3D space. Highlight different atoms with distinct colors based on their element type.
3. **Interactive Controls**: Implement controls that allow users to select specific atoms or bonds within the molecule. When selected, show additional information such as atomic number and bond length.
4. **Export Functionality**: Provide an option to export the current visualization state as an image file (e.g., PNG, JPG) or save it back into a supported molecular format.
5. **Customization Options**: Allow users to customize the appearance of the visualization, including background color, atom size, and line thickness for bonds.
6. **Help Documentation**: Include a help section that explains how to use each feature and provides examples of input files.

To utilize 'aseview', integrate its functionalities to handle the rendering and interaction aspects of molecular data. Focus on making the application intuitive and powerful enough for both educational purposes and professional research.

💬 Discussion Feed

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