async-notify

v1.5.5 suspicious
4.0
Medium Risk

Asyncio-based Library for sending notifications (messages) to users.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network, shell, and obfuscation activities, but the metadata risk score is elevated due to the maintainer's account status and lack of proper identification.

  • Metadata risk due to new/inactive maintainer account
  • Lack of proper author information
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution detected, which is expected as typical Python packages do not execute system commands unless necessary.
  • 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 and lacks a proper author name, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/phenobarbital/async-notify/
  • Detailed PyPI description (1510 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 6 unique contributor(s) across 100 commits in phenobarbital/async-notify
  • Active community — 5 or more distinct 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository phenobarbital/async-notify 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 async-notify 
Create a fully functional mini-app named 'AsyncNotifyMessenger' using Python that leverages the 'async-notify' library to send asynchronous notifications to users. This app will serve as a simple yet powerful messaging tool for users to communicate with each other in real-time. Here’s a detailed breakdown of what your app should include and how to implement it:

1. **User Registration**: Allow users to register with unique usernames and passwords. Store these credentials securely.
2. **Login System**: Implement a login system where users can log in using their registered username and password.
3. **Notification Service**: Utilize the 'async-notify' package to send notifications asynchronously. Users should be able to receive notifications immediately upon the sender's action.
4. **Message Sending**: Users should be able to send messages to each other. When a message is sent, the recipient(s) should receive a notification.
5. **Real-Time Updates**: Notifications should update in real-time on the user interface, indicating new messages or actions from other users.
6. **User Interface**: Develop a simple but intuitive user interface where users can see their notifications, view messages, and send new ones.
7. **Security Measures**: Ensure all communications are secure. Use HTTPS for web communication and encrypt stored data appropriately.
8. **Error Handling**: Implement robust error handling to manage various scenarios such as network failures, invalid inputs, etc.

**How to Use 'async-notify':** 
- Integrate 'async-notify' into your application to handle the background tasks of sending notifications.
- Configure the settings of 'async-notify' according to your needs, such as setting up the notification channels (e.g., email, SMS).
- Use the library's functions to trigger notifications whenever a user sends a message or performs another action that requires alerting others.

Your goal is to create a versatile mini-app that showcases the power of asynchronous notifications in real-world applications. This project will not only demonstrate your skills in Python and async programming but also your ability to integrate third-party libraries effectively.

💬 Discussion Feed

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