antfly-sdk

v0.0.2.dev2 suspicious
4.0
Medium Risk

Python SDK for Antfly distributed key-value store and search engine

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its incomplete metadata and newly created status, raising concerns about potential supply-chain risks. However, there are no immediate signs of malicious activity.

  • Metadata risk due to incomplete maintainer information
  • Package appears newly created
Per-check LLM notes
  • Network: The use of httpx.Client and httpx.AsyncClient indicates the package is making network requests, which is common for SDKs but requires further investigation to ensure proper handling and permissions.
  • Shell: No shell execution patterns detected, suggesting no immediate risk of executing arbitrary commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of being newly created and has incomplete maintainer information, which raises suspicion.

📦 Package Quality Overall: Low (4.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://antfly-sdk-python.readthedocs.io
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (2645 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

  • 319 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 score 7.5

Found 5 network call pattern(s)

  • e: self._client = httpx.Client( base_url=self._base_url, co
  • context manager for internal httpx.Client (see httpx docs)""" self.get_httpx_client().__exit__(
  • self._async_client = httpx.AsyncClient( base_url=self._base_url, co
  • ontext manager for underlying httpx.AsyncClient (see httpx docs)""" await self.get_async_httpx_client
  • en self._client = httpx.Client( base_url=self._base_url, co
✓ 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: antfly.io>

✓ 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 6.0

3 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)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with antfly-sdk 
Create a Python-based mini-application called 'AntflySearcher' that leverages the Antfly distributed key-value store and search engine through the 'antfly-sdk' package. This application will serve as a simple yet powerful tool for managing and searching through large datasets stored in the Antfly system. Here’s a detailed breakdown of what your application should include:

1. **Setup and Initialization**: Begin by setting up a Python environment and installing the necessary dependencies including the 'antfly-sdk'. Ensure you have access to an Antfly instance or use a sandbox environment provided by Antfly for testing purposes.

2. **Data Management**: Implement functionalities to add, update, delete, and retrieve data from the Antfly key-value store. Your application should allow users to interact with the store through a command-line interface (CLI) or a simple web UI if time permits.

3. **Advanced Search Capabilities**: Utilize the search engine capabilities of Antfly to provide advanced search functionalities. Users should be able to perform full-text searches, filter results based on metadata, and even apply custom search algorithms if supported by the SDK.

4. **Security Features**: Incorporate basic security measures such as user authentication before allowing access to the data management and search functionalities. Consider implementing role-based access control (RBAC) to differentiate between admin and regular user permissions.

5. **Performance Optimization**: Since Antfly is designed for high-performance operations, explore ways to optimize your application for speed and efficiency when handling large volumes of data. This could involve efficient querying strategies, indexing optimization, and caching mechanisms.

6. **Documentation and User Guide**: Provide comprehensive documentation explaining how to install, configure, and use the 'AntflySearcher' application. Include examples of common tasks such as adding new records, performing complex searches, and managing user roles.

The 'antfly-sdk' package is essential for interacting with the Antfly system. It provides APIs for all core functionalities including data storage, retrieval, and search. Use the SDK's official documentation as a reference to understand how to implement each feature effectively. Your goal is to create a robust, user-friendly application that showcases the power and flexibility of Antfly.