ami-torchcodec

v0.13.0a0 safe
3.0
Low Risk

A video decoder for PyTorch

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with network, shell, and obfuscation activities. The metadata risk is slightly elevated due to incomplete author information, but this alone does not indicate malicious intent.

  • No network or shell execution detected
  • Incomplete author information
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute commands on the host system.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The author information is incomplete, suggesting potential lack of transparency or a new/inactive maintainer.

📦 Package Quality Overall: Low (3.0/10)

○ 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
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 100 commits in pytorch/torchcodec
  • 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository pytorch/torchcodec 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 ami-torchcodec 
Create a real-time video decoding application using the 'ami-torchcodec' package for PyTorch. This application will allow users to select a compressed video file, decode it in real-time, and display the frames in a window. Additionally, implement a feature to save the decoded video as a new file. The application should have the following functionalities:

1. User Interface: Design a simple graphical user interface (GUI) where users can select a video file from their local system.
2. Real-Time Decoding: Utilize 'ami-torchcodec' to decode the selected video file frame by frame in real-time and display these frames in the GUI.
3. Frame Rate Control: Allow users to control the playback speed of the decoded video through the GUI.
4. Save Decoded Video: Implement functionality to save the decoded video as a new file on the user's system.
5. Error Handling: Ensure the application gracefully handles errors such as invalid file formats or issues during decoding.
6. Performance Metrics: Display basic performance metrics such as FPS (frames per second) during the decoding process.

The 'ami-torchcodec' package will be utilized to handle the video decoding process, ensuring that the application can efficiently decode videos in real-time. This project will showcase the capabilities of 'ami-torchcodec' in handling video data within a PyTorch environment.

💬 Discussion Feed

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