autolei

v1.0.4.260604 safe
3.0
Low Risk

A GUI for electron diffraction data analysis

🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with no detected network calls, shell executions, obfuscations, or credential risks. However, there is some concern regarding the metadata due to the short email domain and the maintainer having only one package.

  • No network calls detected
  • Maintainer has only one package on PyPI
  • Short email domain
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The very short email domain and the maintainer having only one package on PyPI suggest potential risk, but no typosquatting or suspicious links were detected.

📦 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 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://gitlab.com/tristonewang/autolei/docs
  • Detailed PyPI description (3322 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ 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 score 3.0

Suspicious email domain flags: Very short email domain: su.se

  • Very short email domain: su.se
✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Lei Wang" 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 autolei 
Create a user-friendly Electron Diffraction Data Analysis Application using the 'autolei' Python package. Your task is to design and implement a tool that simplifies the process of analyzing electron diffraction patterns, making it accessible to researchers and students alike. Here’s a step-by-step guide on what your application should achieve:

1. **User Interface**: Develop an intuitive graphical interface where users can easily load their electron diffraction images. Ensure that the UI supports basic file operations like opening, saving, and closing files.
2. **Data Visualization**: Utilize 'autolei' to display the loaded electron diffraction data in real-time within the application. Implement functionalities such as zooming, panning, and adjusting color scales to enhance data visualization.
3. **Analysis Tools**: Integrate key analysis tools provided by 'autolei'. This includes but is not limited to peak detection, background subtraction, and intensity measurements. Each tool should have adjustable parameters to allow customization based on specific needs.
4. **Export Results**: Enable users to export their analyzed results in various formats (e.g., CSV, Excel). Additionally, provide options to save the visualized data as high-resolution images for presentations or publications.
5. **Help Documentation**: Include comprehensive help documentation within the application. This should cover basic usage instructions, explanations of each analysis tool, and troubleshooting tips.

Suggested Features:
- Real-time updates of analysis results as users adjust parameters.
- Support for multiple data loading formats (e.g., TIFF, JPEG).
- Interactive tutorials for beginners.
- Integration with external databases for material property lookup.

Your goal is to create a versatile yet easy-to-use application that leverages the power of 'autolei' to streamline electron diffraction data analysis processes.

💬 Discussion Feed

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