aviconv-core

v0.0.2 suspicious
4.0
Medium Risk

Shared utilities for the aviconv aviation-data converter family: coordinates, AIRAC dates, XML helpers, CLI dispatcher.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits minimal risks based on current checks, but the missing repository and new maintainer raise concerns about potential supply-chain attacks.

  • Repository not found
  • New maintainer with limited activity
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package that does not require internet access.
  • Shell: No shell execution patterns detected, indicating the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The repository is not found, and the maintainer seems to be new with limited activity, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • 4 test file(s) detected (e.g. test_airac.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://ams-dev25.github.io/aviconv/
  • Detailed PyPI description (1244 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 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 27 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "aviconv contributors" 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 aviconv-core 
Create a Python-based aviation data conversion tool named 'AirDataConv' using the 'aviconv-core' package. This tool will serve as a comprehensive utility for aviation professionals and enthusiasts, enabling them to convert various types of aviation data into more usable formats. Here’s a step-by-step guide on what the application should do and how it can leverage the functionalities provided by the 'aviconv-core' package:

1. **Setup and Installation**: Start by setting up your Python environment and installing the 'aviconv-core' package. Ensure that all dependencies are correctly installed.
2. **User Interface**: Design a simple yet effective command-line interface (CLI) where users can input their data. The CLI should be intuitive and easy to navigate.
3. **Input Data Types**: Support for multiple input data types including coordinates (latitude/longitude), AIRAC dates, and XML files containing aviation-related data.
4. **Conversion Functions**: Implement conversion functions that utilize the 'aviconv-core' package's shared utilities. For instance, convert coordinates between different formats (e.g., decimal degrees to DMS), adjust AIRAC dates according to user specifications, and parse XML data to extract meaningful information.
5. **Output Formats**: Allow users to choose from various output formats such as plain text, CSV, or JSON. The converted data should be presented in a clear, structured manner.
6. **Error Handling**: Incorporate robust error handling mechanisms to manage incorrect inputs and provide useful feedback to the user.
7. **Help and Documentation**: Include a help section within the CLI that explains each feature and command available in AirDataConv. Additionally, create comprehensive documentation that covers installation, usage, and troubleshooting.
8. **Testing**: Before finalizing the application, ensure thorough testing is conducted to validate its functionality across different scenarios and edge cases.
9. **Deployment**: Once the application passes all tests, prepare it for deployment. Consider packaging it as a standalone executable or a containerized application for easy distribution.

By following these steps and utilizing the powerful tools provided by 'aviconv-core', you will develop a versatile and valuable aviation data conversion tool.

💬 Discussion Feed

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