asyncffmpeg

v1.4.0 safe
3.0
Low Risk

Supports async / await pattern for FFmpeg operations.

🤖 AI Analysis

Final verdict: SAFE

The package asyncffmpeg v1.4.0 is assessed as safe with low risk indicators. While there are potential security concerns related to shell execution and incomplete author metadata, these alone do not strongly suggest malicious intent.

  • No network or credential risks detected
  • Shell execution present but likely legitimate
  • Incomplete author metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal for a processing library like asyncffmpeg.
  • Shell: Shell execution is present and might be used for running ffmpeg commands. This is likely legitimate but should be reviewed for proper use and potential security implications.
  • Obfuscation: No obfuscation patterns detected, suggesting normal code readability and maintainability.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
  • Metadata: The author's details are incomplete and the account seems new or inactive, raising some concerns but not definitive proof of malintent.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_ffmpeg_coroutine.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6653 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 27 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 63 commits in yukihiko-shinoda/asyncffmpeg
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • y executes test code. subprocess.run([f"{sys.executable}", f"{code_and_environment_example}"], ch
  • wrapper_windows.py" # shell=True required: 'start' is a Windows shell built-in command, not
  • . with Popen(command, shell=True, env=logging_environment.create_env()) as popen: # noqa: D
✓ 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

Repository yukihiko-shinoda/asyncffmpeg 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 asyncffmpeg 
Create a video processing mini-app using Python that leverages the 'asyncffmpeg' package to handle asynchronous video operations. This app will serve as a versatile tool for performing common video editing tasks such as trimming, merging, and converting videos into different formats. Additionally, it will include a feature to extract audio from video files and save them as separate audio files. The app should also allow users to specify custom output directories and filenames for processed media files.

Step-by-Step Guide:
1. Setup the Project Environment: Begin by setting up a virtual environment for your project. Install necessary packages including 'asyncffmpeg', 'typer' for command-line interface (CLI), and 'click' for handling CLI arguments.
2. Define CLI Arguments: Use Typer to define command-line arguments for specifying input file(s), desired output format, output directory, and custom filename.
3. Implement Video Trimming Functionality: Utilize 'asyncffmpeg' to create an asynchronous function that trims videos based on start and end times provided through CLI arguments.
4. Add Video Merging Feature: Develop another function using 'asyncffmpeg' that asynchronously merges multiple video files into one single video file.
5. Include Video Conversion Capability: Create a function that converts videos between supported formats (e.g., MP4 to AVI, MKV to MP4).
6. Extract Audio from Videos: Implement functionality to extract audio tracks from video files using 'asyncffmpeg'.
7. Output Customization: Allow users to specify output directories and filenames via CLI arguments.
8. Error Handling and Logging: Ensure robust error handling and logging mechanisms are in place to manage exceptions and provide feedback to users.
9. Testing: Thoroughly test all functionalities with various video files to ensure compatibility and reliability.
10. Documentation: Write clear documentation detailing how to install and use the app, including examples of command-line usage.

Features:
- Asynchronous video trimming based on specified start and end times.
- Asynchronous merging of multiple video files.
- Support for converting videos between different formats.
- Extraction of audio tracks from video files.
- User-defined output directories and filenames.
- Detailed error messages and logging for troubleshooting.

Utilizing 'asyncffmpeg': Throughout the development process, you'll rely heavily on 'asyncffmpeg' to perform all video operations asynchronously, ensuring smooth execution without blocking the main thread. This will significantly enhance the performance and responsiveness of your video processing app.

💬 Discussion Feed

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