auroraview

v0.5.8 suspicious
5.0
Medium Risk

AuroraView: Rust-powered WebView for Python apps & DCC embedding

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across various categories, but the sparse author information and the presence of a non-HTTPS link raise concerns about its origin and authenticity.

  • Sparse author information
  • Presence of a non-HTTPS link
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 signs of malicious activity.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The author's information is sparse, and the presence of a non-HTTPS link raises some concern, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Medium (5.0/10)

○ 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/loonghao/auroraview#readme
  • Detailed PyPI description (59411 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

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

Active multi-contributor project

  • 5 unique contributor(s) across 100 commits in loonghao/auroraview
  • 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: outlook.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://mypy-lang.org/
✓ Git Repository History

Repository loonghao/auroraview 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 auroraview 
Create a mini-application called 'AuroraNotes' which integrates AuroraView to provide a seamless web-based interface for note-taking and document management within a desktop environment. This application will allow users to create, edit, delete notes, and organize them into categories. Additionally, it will include features such as search functionality, tags for categorization, and the ability to export notes as plain text files or PDFs. AuroraNotes should be designed with a modern, user-friendly interface, leveraging AuroraView's WebView capabilities to host a responsive web application that runs natively on the desktop. The application should also support basic authentication to ensure user data privacy.

Steps to Build AuroraNotes:
1. Set up a Python environment and install the AuroraView package along with any necessary dependencies.
2. Develop a backend server using Flask or Django that will handle CRUD operations for notes and manage user sessions.
3. Create a frontend web application using HTML, CSS, and JavaScript, ensuring it is responsive and accessible across different devices.
4. Integrate the AuroraView WebView component into the Python application to display the web app inside a native window.
5. Implement note creation, editing, deletion, and organization functionalities through both the web interface and API endpoints.
6. Add search functionality that allows users to find notes based on keywords, tags, or categories.
7. Enable users to authenticate their accounts and ensure session management works correctly.
8. Allow exporting of notes in various formats (plain text, PDF).
9. Test the application thoroughly to ensure all features work as expected and there are no security vulnerabilities.
10. Package the application for distribution, ensuring it runs smoothly on Windows, macOS, and Linux.

How AuroraView is Utilized:
- AuroraView acts as the bridge between the native Python application and the web-based UI. It renders the web application inside a native window, providing a consistent look and feel across different operating systems.
- The WebView component enables developers to embed complex web applications directly into desktop environments without needing additional browser installations.
- AuroraView's performance benefits from its Rust backend, allowing for smoother interactions and faster rendering compared to traditional webview implementations.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!