anip-rest

v0.24.4 suspicious
3.0
Low Risk

ANIP REST bindings — expose ANIPService capabilities as RESTful API endpoints

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal direct risks but has a new or inactive maintainer account without an author name, raising concerns about its reliability and potential for supply-chain attacks.

  • Metadata risk due to new/inactive maintainer account
  • Lack of package description
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communications.
  • Shell: No shell execution detected, which is typical and indicates no immediate signs of malicious shell command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account with no author name, indicating potential unreliability.

📦 Package Quality Overall: Medium (5.0/10)

✦ 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_rest.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
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in anip-protocol/anip
  • Small but multi-author team (3–4 contributors)

🔬 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

Email domain looks legitimate: anip.dev>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository anip-protocol/anip 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 anip-rest 
Create a mini-application called 'ANIP Weather Station' that integrates with the 'anip-rest' package to provide weather data through a RESTful API. This application will serve as a demonstration of how to use the 'anip-rest' package to expose ANIPService capabilities in a practical scenario. Here’s a detailed guide on how to proceed:

1. **Project Setup**: Start by setting up your Python environment. Ensure you have Python installed and create a virtual environment for your project. Install the 'anip-rest' package along with other necessary dependencies such as Flask for the web framework.

2. **Application Structure**: Design your application structure. Your main components should include a configuration file, a Flask app file, and a file for interfacing with the 'anip-rest' package.

3. **API Endpoints**: Define several key API endpoints using the 'anip-rest' package. These should include endpoints to fetch current weather conditions, historical weather data, and forecasted weather conditions. Each endpoint should accept parameters like location and date if applicable.

4. **Data Handling**: Implement logic within your application to handle incoming requests, process them through the 'anip-rest' package, and return formatted responses. Ensure error handling is in place to manage cases where the 'anip-rest' service is unavailable or returns unexpected data.

5. **Testing**: Develop a testing suite to validate the functionality of your application. Write tests for each API endpoint to ensure they behave as expected under various scenarios.

6. **Documentation**: Create comprehensive documentation for your 'ANIP Weather Station'. Include setup instructions, API usage examples, and any caveats or limitations of the application.

7. **Deployment**: Prepare your application for deployment. Consider hosting options like Heroku or AWS, and ensure your application can run smoothly in a production environment.

Suggested Features:
- User-friendly API documentation integrated into the application.
- Caching mechanisms to reduce load on the 'anip-rest' service and improve response times.
- Support for multiple languages for weather condition descriptions.
- Integration with a frontend UI to visualize weather data.

By following these steps and incorporating the suggested features, you'll have a fully functional mini-app that showcases the capabilities of the 'anip-rest' package in a real-world context.

💬 Discussion Feed

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