AI Analysis
The package shows no signs of malicious activity and has minimal risks associated with it. However, the missing repository and limited maintainer history slightly elevate the metadata risk.
- No network or shell calls detected
- Repository not found, limited maintainer history
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell executions detected, indicating the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository is not found, and the maintainer has limited history with PyPI, raising some concerns.
Package Quality Overall: Medium (5.2/10)
Test suite present — 12 test file(s) found
Test runner config found: conftest.py12 test file(s) detected (e.g. conftest.py)
Some documentation present
Documentation URL: "Documentation" -> https://ams-dev25.github.io/aviconv/Detailed PyPI description (1551 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed134 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "aviconv contributors" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a flight planning assistant app using the Python package 'aviconv-fpl'. This app will serve as a versatile tool for aviation enthusiasts and professionals to manage flight plans efficiently. The application should be able to convert flight plans between different formats such as JSON, FIXM 4.3, and ADEXP, as specified in the ICAO 2012 standard. Here’s a detailed breakdown of the requirements: 1. **User Interface**: Design a simple yet intuitive user interface using a framework like Tkinter or Streamlit. Ensure it allows users to input flight plan data easily. 2. **Conversion Capabilities**: Implement bidirectional conversion capabilities between JSON, FIXM 4.3, and ADEXP formats. Users should be able to upload a file in one format and have it converted to another. 3. **Data Validation**: Include functionality to validate the integrity of the flight plan data before and after conversions. This ensures that the output remains compliant with the ICAO 2012 standards. 4. **Save and Export Options**: Provide options for users to save their converted files locally or export them to cloud storage services like Google Drive or Dropbox. 5. **Documentation and Help**: Offer comprehensive documentation within the app explaining how each format works and what changes occur during conversions. Include FAQs and a contact form for user support. 6. **Integration with 'aviconv-fpl' Package**: Utilize the 'aviconv-fpl' package to handle all conversion processes. Make sure to leverage its core functionalities to ensure accurate and efficient conversions. 7. **Testing and Feedback**: Implement a feedback mechanism where users can report any issues they encounter during use. Use this feedback to improve the app continuously. By following these steps, you'll create a robust and user-friendly flight planning assistant that leverages the powerful conversion capabilities of the 'aviconv-fpl' package.
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