AI Analysis
Final verdict: SAFE
The package shows very low risks across all categories except for metadata, where the low activity and lack of maintainer information raise some concerns about reliability. However, there are no indications of malicious intent or supply-chain attacks.
- Low risk scores in network, shell, obfuscation, and credential checks.
- Moderate concern over metadata due to low repository activity and unverified maintainer.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository's low activity and the maintainer's lack of information suggest potential unreliability.
Package Quality Overall: Low (4.4/10)
◈ 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 (4824 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
26 type-annotated function signatures detected in source
○ Low
Multiple Contributors
2.0
Single-author or unverifiable project
1 unique contributor(s) across 13 commits in kigawas/asgireSingle author with few commits — possibly a personal or throwaway project
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
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 asgire
Create a real-time chat application using Python that leverages the 'asgire' package for handling asynchronous server-side operations. This application will serve as a simple yet effective way to demonstrate the capabilities of 'asgire', showcasing its ability to act as a modernized drop-in replacement for 'asgiref'. Here are the key requirements and steps for building this application: 1. **Project Setup**: Begin by setting up your development environment with Python, Django Channels, and the 'asgire' package. Ensure you have a virtual environment set up and install all necessary dependencies. 2. **Application Architecture**: Design the application architecture focusing on separating concerns into models, views, and channels layers. Use Django models for user data management and Django channels for handling real-time communication. 3. **User Authentication**: Implement a basic user authentication system where users can register, log in, and log out. Store user information securely using Django's built-in user model. 4. **Real-Time Chat Functionality**: Utilize 'asgire' to manage WebSocket connections for real-time messaging between users. Users should be able to send messages to specific users or to a group of users. 5. **Message Persistence**: Store messages in a database so they persist even if the WebSocket connection is lost. Implement a feature that allows users to retrieve their message history. 6. **Notifications**: Integrate push notifications for new messages when a user is not actively using the app. Use Django signals to trigger notifications upon receiving a new message. 7. **Testing & Deployment**: Write unit tests for your application logic and integration tests for the WebSocket functionality. Deploy the application using a service like Heroku or AWS, ensuring it runs smoothly and is accessible over the internet. Throughout the development process, focus on leveraging 'asgire' to handle the asynchronous aspects of the application, particularly in managing WebSocket connections and interactions. This project aims to highlight the efficiency and ease of use of 'asgire' in developing scalable and performant real-time applications.
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