aio-databases

v1.7.2 safe
4.0
Medium Risk

Async support for various databases

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks in terms of obfuscation and credential theft. However, the maintainer's limited presence on PyPI slightly increases the metadata risk.

  • No obfuscation or credential harvesting patterns detected.
  • Maintainer has only one package on PyPI, indicating potential new or less active account.
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has no suspicious links or typosquatting attempts, but the maintainer has only one package on PyPI which may indicate a new or less active account.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6128 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in klen/aio-databases
  • 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

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://opensource.org/licenses/MIT
✓ Git Repository History

Repository klen/aio-databases appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Kirill Klenov" 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 aio-databases 
Your task is to develop a simple, yet powerful asynchronous chat application using Python, which will serve as a proof-of-concept for integrating real-time data handling with database operations. This application will leverage the 'aio-databases' package to manage database interactions asynchronously, ensuring smooth and efficient operation even under high load conditions. Here are the steps and features your application should include:

1. **Project Setup**: Initialize a new Python project and install the required packages including aio-databases, a web framework of your choice (e.g., FastAPI), and any necessary libraries for WebSocket communication.
2. **Database Configuration**: Set up a connection to your chosen database (supported by aio-databases) such as PostgreSQL, MySQL, or SQLite. Use aio-databases to handle all database interactions asynchronously.
3. **User Management**: Implement user registration and login functionalities. Store user information in the database and ensure secure password storage.
4. **Chat Rooms**: Allow users to join different chat rooms. Each room should have its own thread of messages stored in the database.
5. **Real-Time Messaging**: Utilize WebSockets to enable real-time messaging between users within the same chat room. Messages should be saved to the database immediately after being sent.
6. **Message Retrieval**: Provide functionality for users to view previous messages in a chat room when they first join or refresh the page. Fetch these messages from the database and display them on the client side.
7. **Asynchronous Handling**: Ensure that all database operations are handled asynchronously to avoid blocking the main event loop. aio-databases should be used extensively here to manage connections and queries efficiently.
8. **Testing and Validation**: Write tests to validate the correctness of your implementation. Pay special attention to edge cases like concurrent database access and message delivery.
9. **Documentation**: Document your code and provide instructions on how to set up and run the application.

This project aims to demonstrate the power of aio-databases in managing asynchronous database interactions, while also showcasing the integration of real-time communication features in a modern web application.