AI Analysis
Final verdict: SAFE
The package shows no signs of malicious behavior and is at low risk for supply-chain attacks. The metadata risk is slightly elevated due to the author's limited package history, but this alone does not warrant suspicion.
- No network calls detected
- No shell execution patterns
- No obfuscation or credential risks
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires internet access.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity related to shell command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The author has only one package, which may indicate a new or less active account, but no other suspicious activities are detected.
Package Quality Overall: Low (3.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (4998 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
◈ Medium
Multiple Contributors
6.0
Limited contributor diversity
2 unique contributor(s) across 17 commits in rustakka/atomr-viewTwo 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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository rustakka/atomr-view appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "atomr-view contributors" 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 atomr-view
Create a real-time collaborative drawing application using the 'atomr-view' package. This application will allow multiple users to draw on a shared canvas simultaneously. Users should be able to select different colors, brush sizes, and shapes (e.g., lines, rectangles, circles). The application should support real-time updates so that changes made by one user are immediately visible to all other connected users. Key Features: 1. User Authentication: Implement a simple login system where users can create accounts or log in via social media platforms like Google or Facebook. 2. Real-Time Collaboration: Ensure that any drawing action performed by one user is instantly reflected on all other users' screens. 3. Drawing Tools: Provide tools such as a color picker, brush size selector, and shape drawing options. 4. Scene Management: Utilize 'atomr-view's backend-agnostic UI capabilities to manage different scenes or canvases where users can switch between them. 5. Mobile Compatibility: Ensure the application works seamlessly on both desktop and mobile devices. How to Use 'atomr-view': - Leverage 'atomr-view' to handle the UI components for the drawing tools and canvas management. - Use 'atomr-view's actor-driven scene capabilities to manage the real-time state of the drawing session. - Explore 'atomr-view's visualisation system to dynamically adjust the UI based on user interactions and device types.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue