astars

v0.1.0 suspicious
6.0
Medium Risk

A lightweight program-structure engine.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows potential signs of typosquatting targeting 'attrs' and has sparse author information from what appears to be a new or inactive account.

  • Potential typosquatting
  • Sparse and possibly new/inactive author metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is sparse and the account seems new or inactive, raising some suspicion.
  • ⚠ Typosquatting target: attrs

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_public_api.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3689 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

  • 68 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in xwasoux/astars
  • Two distinct contributors found

🔬 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 score 3.0

Possible typosquat of: attrs

  • "astars" is 2 edit(s) from "attrs"
✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository xwasoux/astars 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 astars 
Create a Python-based code analysis tool named 'CodeNavigator' using the 'astars' package. This tool should serve as a robust interface for exploring and understanding the structure of Python codebases. The application will leverage 'astars' to parse and analyze source files, providing developers with insights into their code's architecture.

Step-by-step guide:
1. **Setup Project**: Initialize a new Python project and install the 'astars' package.
2. **File Input**: Implement functionality that allows users to input Python file paths or directories containing multiple Python files.
3. **Parsing with Astars**: Use 'astars' to parse the input files, extracting information about classes, functions, imports, and other structural elements.
4. **Visualization**: Develop a feature to visualize the parsed data as a tree structure or graph, helping users understand the relationships between different parts of the code.
5. **Search Functionality**: Integrate a search function that enables users to find specific classes, functions, or variables within the parsed files.
6. **Documentation Generation**: Create an option to generate simple documentation based on the parsed data, highlighting key components such as class hierarchies, function signatures, and module-level documentation strings.
7. **User Interface**: Design a user-friendly command-line interface or a basic GUI for interacting with 'CodeNavigator'.
8. **Testing**: Write tests to ensure that 'CodeNavigator' accurately parses and visualizes Python code structures.

Suggested Features:
- Support for multiple programming languages beyond Python, if 'astars' supports them.
- Integration with popular version control systems like Git to analyze historical changes in code structure.
- Advanced analytics to identify common code smells or design patterns.
- Export options for visualizations and documentation.

Utilizing 'astars': The 'astars' package will be the backbone of CodeNavigator, handling the parsing of Python code into structured data. This will enable the tool to perform deep analysis and provide valuable insights into the codebase, facilitating better code maintenance and development practices.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!