axonpush

v0.0.14 suspicious
3.0
Low Risk

Python SDK for AxonPush — real-time event infrastructure for AI agent systems

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some characteristics that warrant further scrutiny, primarily due to its low engagement and a new maintainer, though it does not present clear signs of malicious intent.

  • Low engagement metrics and a new maintainer
  • Standard HTTP requests without clear benign explanation
Per-check LLM notes
  • Network: The network call patterns indicate standard HTTP requests which could be part of legitimate functionality, but require further investigation into the purpose of these calls.
  • Shell: No shell execution patterns detected, suggesting no immediate risk related to command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has low engagement metrics and a new maintainer, which raises some suspicion but not enough to conclusively determine malice.

📦 Package Quality Overall: Medium (5.4/10)

◈ 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 (8470 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
  • 225 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 52 commits in axonpush/python-sdk
  • Single author but highly active (52 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • (settings) httpx_client = httpx.Client( base_url=base_url, headers=headers,
  • (settings) httpx_client = httpx.AsyncClient( base_url=base_url, headers=headers,
  • 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
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AxonPush" 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 axonpush 
Develop a real-time notification system for a smart home using the AxonPush Python SDK. This mini-app will enable users to receive instant notifications on their mobile devices when specific events occur in their homes, such as door openings, motion detections, or temperature changes. The application should be designed to be both user-friendly and efficient, ensuring that notifications are delivered promptly and reliably.

### Key Features:
1. **Event Triggers**: Integrate with smart home devices to detect various events like door opening/closing, motion detection, and temperature fluctuations.
2. **Real-Time Notifications**: Use AxonPush to send immediate push notifications to the user's mobile device whenever an event is detected.
3. **Customizable Alerts**: Allow users to customize which types of events trigger notifications and set thresholds for certain conditions (e.g., notify only if the temperature drops below a certain point).
4. **User Interface**: Develop a simple web interface where users can manage their settings and view recent notifications.
5. **Security**: Ensure that all communication between the smart home devices and the notification system is secure, and that user data is protected.
6. **Analytics Dashboard**: Provide a dashboard for viewing analytics on notification frequency, types of events, and other relevant metrics.

### Utilizing AxonPush:
- **Setup**: Begin by installing the `axonpush` package via pip and setting up your AxonPush client with your API keys.
- **Event Handling**: Write functions to handle different types of events from smart home devices. These functions will use the AxonPush SDK to send push notifications based on the type of event.
- **User Management**: Implement user management features using AxonPush's user management capabilities to allow users to subscribe to different types of notifications.
- **Web Interface**: Create a web-based UI using Flask or Django that allows users to interact with the system, including configuring alerts and viewing notifications.
- **Security Measures**: Incorporate security measures such as HTTPS for all communications and encryption for sensitive data stored on the server.
- **Analytics Integration**: Use AxonPush's analytics tools to track and display usage statistics and trends within the app's dashboard.

This project will showcase the power of real-time event processing and push notifications in a practical, everyday context, demonstrating how modern technologies can enhance the safety and convenience of our living spaces.

💬 Discussion Feed

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