aioway

v0.0.9 suspicious
5.0
Medium Risk

AI on the way

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low direct risks such as network, shell, and obfuscation, but its metadata suggests low maintenance and potential abandonment. This could indicate a higher indirect risk due to lack of updates and support.

  • Low network and shell execution risks
  • Signs of low maintenance and effort
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity like command injection.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low maintenance and effort, but lacks clear malicious indicators.

📦 Package Quality Overall: Low (3.8/10)

◈ 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 (1991 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

  • 113 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aioway 
Create a fully-functional mini-app that leverages the 'aioway' package to manage and optimize the delivery of personalized content to users based on their location and preferences. The app will be named 'ContentOnWay'. Here's a step-by-step guide on how to build it:

1. **Setup Environment**: Start by setting up your Python environment and installing necessary packages including 'aioway'. Ensure you have a clear understanding of asynchronous programming as 'aioway' is designed to work asynchronously.

2. **User Interface Design**: Design a simple yet intuitive UI where users can log in or register. The registration process should include fields for location data (latitude/longitude) and user preferences (e.g., news topics, types of articles).

3. **Integration with aioway**: Utilize 'aioway' to fetch real-time data about user locations and preferences. Implement a feature where the app periodically updates this information to ensure content delivery remains relevant.

4. **Personalized Content Delivery**: Develop an algorithm that uses the fetched data to personalize content delivery. For instance, if a user prefers sports news and is located near a stadium, they should receive updates about upcoming games and scores.

5. **Feedback Mechanism**: Integrate a feedback system where users can rate the relevance of the delivered content. Use this feedback to further refine the personalization algorithm.

6. **Security Measures**: Implement security measures such as secure login mechanisms and encryption of sensitive data like location coordinates.

7. **Testing and Deployment**: Thoroughly test the app for bugs and performance issues. Once satisfied, deploy the app using a platform like Heroku or AWS.

**Suggested Features**:
- Real-time location tracking without compromising user privacy.
- Adjustable frequency of content updates based on user preference.
- Customizable notification settings (push notifications, email).
- A leaderboard showcasing the most engaged users to foster community engagement.

By following these steps and incorporating the suggested features, you'll create a robust and engaging mini-app that effectively utilizes the capabilities of the 'aioway' package.

💬 Discussion Feed

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