api-parity-py

v0.0.2 suspicious
4.0
Medium Risk

Python plugin for api-parity (reference walker + port annotations).

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network usage, shell execution, and obfuscation. However, its metadata suggests it may be newly created with little to no maintenance history, raising suspicion.

  • Low metadata quality
  • New and unestablished package
Per-check LLM notes
  • Network: No network calls suggest the package is not designed to communicate externally, which is normal unless expecting API interactions.
  • Shell: No shell execution patterns indicate the package does not run external commands, reducing the risk of unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no risk of malicious credential theft.
  • Metadata: The package shows signs of low effort and could be suspicious due to its newness and lack of maintainer history.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

  • Test runner config found: conftest.py
  • 9 test file(s) detected (e.g. conftest.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

  • 29 type-annotated function signatures detected in source
○ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with api-parity-py 
Create a Python-based code analysis tool named 'CodeMirror' using the 'api-parity-py' package. This tool aims to help developers ensure API parity between different versions of their software libraries or between similar services from different providers. Your task is to develop a command-line interface (CLI) application that performs the following functions:

1. **Initialization**: Allow users to initialize the project by specifying the directories or repositories they want to analyze.
2. **API Parity Check**: Implement a feature to check for API parity across specified versions or implementations. This involves analyzing the APIs for differences in methods, parameters, return types, etc., and highlighting any discrepancies.
3. **Documentation Generation**: Automatically generate documentation for each version or implementation based on the detected APIs. Ensure that the documentation includes details such as method signatures, parameter descriptions, and return values.
4. **Compatibility Report**: Provide a compatibility report that outlines potential issues or areas of concern when switching between different versions or implementations.
5. **Custom Annotations**: Enable users to add custom annotations to specific parts of the codebase to guide the parity checking process. For example, users might annotate deprecated methods or new functionalities introduced in later versions.
6. **Interactive Mode**: Offer an interactive mode where users can query specific APIs or groups of APIs for parity information.

**How 'api-parity-py' is Utilized**: The 'api-parity-py' package will be the backbone of your tool, providing essential functionalities like reference walking and port annotations. Use it to parse and understand the structure of the APIs, detect changes, and facilitate the generation of accurate documentation and reports. Your implementation should leverage these features to offer a robust solution for maintaining API parity.

💬 Discussion Feed

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