api-parity

v0.0.2 suspicious
4.0
Medium Risk

Cross-language API parity differ and report renderer.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low direct risks but shows signs of poor maintenance efforts, including a lack of version history and a git repository. This raises concerns about its legitimacy and potential for being part of a supply-chain attack.

  • Low maintainer effort
  • Lack of version history
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 detected, reducing the risk of command injection or similar vulnerabilities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of unauthorized data collection.
  • Metadata: The package shows signs of low maintainer effort and could be suspicious due to the lack of a maintainer history and a git repository.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • Test runner config found: conftest.py
  • 4 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

  • 10 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 
Develop a cross-platform API parity checker tool named 'API-Pal' using the Python package 'api-parity'. This tool will help developers ensure that different implementations of an API across various programming languages maintain consistent behavior and functionality. Your task is to create a fully-functional mini-application that allows users to input two APIs (one from each language) and generate a detailed report on their parity. Here’s a step-by-step guide on what your application should do:

1. **Setup**: Begin by setting up a Python environment with 'api-parity' installed. Ensure you have the necessary dependencies for running the application smoothly.
2. **User Interface**: Design a simple command-line interface (CLI) where users can input the URLs or paths of the two APIs they want to compare.
3. **Input Handling**: Implement functionality to handle user inputs, ensuring that both APIs are valid and accessible.
4. **API Parsing**: Utilize 'api-parity' to parse the APIs and extract key information such as endpoints, methods, parameters, and expected responses.
5. **Parity Analysis**: Compare the parsed data from both APIs to identify discrepancies or inconsistencies. Use 'api-parity' to highlight differences in behavior, response formats, and other critical aspects.
6. **Report Generation**: Based on the analysis, generate a comprehensive report detailing the findings. The report should include sections like 'Identical Features', 'Differences Found', and 'Recommendations for Improvement'.
7. **Output Display**: Provide options for displaying the report directly in the CLI or exporting it as a PDF or HTML file.
8. **Testing & Validation**: Test your application thoroughly with various API pairs to ensure accuracy and reliability.
9. **Documentation**: Write clear documentation explaining how to use 'API-Pal', including setup instructions, usage examples, and common troubleshooting tips.

Suggested Features:
- Support for multiple API versions comparison.
- Customizable output formats.
- Integration with version control systems for tracking changes over time.
- Real-time analysis updates during development.

By following these steps and incorporating the suggested features, you'll create a valuable tool for developers looking to maintain consistency across multi-language API implementations.

💬 Discussion Feed

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