amd-torchvision-device-gfx1101

v0.0.1.dev0 suspicious
4.0
Medium Risk

Placeholder for amd-torchvision-device-gfx1101

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has no network or shell execution risks, but poor metadata quality and lack of maintainer history raise concerns about its legitimacy and intent.

  • Lack of maintainer history
  • Poor metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on device-specific optimizations.
  • Shell: No shell executions detected, consistent with a benign package aimed at enhancing performance.
  • Metadata: The package shows several red flags including lack of maintainer history and metadata quality issues, suggesting potential risk.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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
○ 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: example.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 amd-torchvision-device-gfx1101 
Create a small application that leverages the 'amd-torchvision-device-gfx1101' package to enhance image processing tasks on AMD GPUs with GFX1101 architecture. Your application should include the following features:

1. **Image Loading and Display**: Implement functionality to load images from a local directory and display them using a simple GUI.
2. **Real-time Image Enhancement**: Use the 'amd-torchvision-device-gfx1101' package to apply real-time enhancements such as brightness adjustment, contrast improvement, and color correction directly on the GPU for faster processing.
3. **Object Detection**: Integrate object detection capabilities using pre-trained models from the 'amd-torchvision-device-gfx1101' package. Ensure that the application can detect and highlight objects of interest in the loaded images.
4. **Save Enhanced Images**: Provide an option to save the enhanced and processed images back to the local directory.
5. **Performance Metrics**: Include a feature to measure and display performance metrics such as processing time and FPS (frames per second) to showcase the efficiency of using the 'amd-torchvision-device-gfx1101' package.

The application should be designed to demonstrate the benefits of utilizing specialized packages like 'amd-torchvision-device-gfx1101' for optimized GPU-based image processing tasks. Emphasize user-friendly design and clear documentation to make it easy for users to understand and utilize the application.

💬 Discussion Feed

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