What Are the Dependencies for video-use? A Complete Python Package Guide

The video-use package requires five core Python libraries—requests, librosa, matplotlib, pillow, and numpy—declared in pyproject.toml, with an optional manim dependency for animation features.

The video-use repository provides Python utilities for video processing and analysis. Understanding its dependency requirements is essential for proper installation and development. This guide examines every package defined in the project's configuration files and explains how each library powers specific functionality across the codebase.

Core Runtime Dependencies in pyproject.toml

The video-use package declares its mandatory runtime requirements in pyproject.toml lines 7-13. These dependencies install automatically when running pip install video-use:

• requests: HTTP client for API calls and downloading remote resources
• librosa: Audio analysis library for loading and extracting features from video soundtracks
• matplotlib: Plotting library for visualizing waveforms, spectrograms, and data-driven graphics
• pillow: Image processing library (PIL fork) for handling thumbnails and frame extraction
• numpy: Fundamental array-processing package powering numerical operations across modules

Optional Animation Dependencies

Beyond the core requirements, video-use supports optional animation generation through extras groups defined in the project configuration.

The animations Extra

Configured in pyproject.toml lines 15-17, the animations extra installs manim, a mathematical animation library. This enables the video generation capabilities documented in skills/manim-video/README.md.

Install the optional dependencies using:

pip install video-use[animations]

How Dependencies Power the Codebase

These libraries integrate through specific helper modules that demonstrate practical usage patterns.

Fetching Remote Content with requests

The helpers/transcribe.py module uses requests to download audio files prior to processing.

import requests

def download(url, dest_path):
    response = requests.get(url, stream=True)
    response.raise_for_status()
    with open(dest_path, "wb") as f:
        for chunk in response.iter_content(chunk_size=8192):
            f.write(chunk)

Processing Audio with librosa and matplotlib

The helpers/timeline_view.py file combines librosa for audio loading and matplotlib for rendering visual timelines.

import librosa
import matplotlib.pyplot as plt

y, sr = librosa.load("audio.wav", sr=None)
plt.figure(figsize=(10, 2))
plt.plot(y)
plt.title("Waveform")
plt.show()

Handling Video Frames with pillow and numpy

Frame extraction in helpers/render.py leverages pillow and numpy for array-to-image conversion.

from PIL import Image
import numpy as np

def frame_to_image(frame_array: np.ndarray) -> Image.Image:
    return Image.fromarray(frame_array.astype("uint8"))

Creating Animations with manim

When installed via the optional extra, manim enables programmatic video generation as implemented in the skills directory.

from manim import *

class HelloWorld(Scene):
    def construct(self):
        text = Text("Hello, video-use!").scale(2)
        self.play(Write(text))
        self.wait(2)

Summary

• The video-use package requires five core dependencies: requests, librosa, matplotlib, pillow, and numpy, defined in pyproject.toml lines 7-13.
• Optional dependencies include manim for animation features, available via pip install video-use[animations].
• Helper modules such as helpers/transcribe.py, helpers/timeline_view.py, and helpers/render.py demonstrate specific library integrations.
• Each dependency serves distinct purposes: HTTP networking, audio analysis, visualization, and image processing.

Frequently Asked Questions

What are the mandatory dependencies for video-use?

The five required packages are requests, librosa, matplotlib, pillow, and numpy, all declared in pyproject.toml lines 7-13 according to the browser-use/video-use source code. These libraries support HTTP requests, audio processing, data visualization, and image manipulation throughout the package.

How do I install video-use with animation support?

Run pip install video-use[animations] to include the manim library. This optional dependency, configured in pyproject.toml lines 15-17, enables the mathematical animation features described in skills/manim-video/README.md.

Why is numpy required for video processing?

numpy provides the fundamental array data structures required by pillow for image manipulation in helpers/render.py and supports numerical operations across the video-use codebase. It serves as the computational backbone for frame processing and audio feature extraction.

Can I use video-use without matplotlib?

While the core package would install, matplotlib is essential for the visualization features in helpers/timeline_view.py that render audio waveforms and spectrograms. Removing it would disable timeline generation functionality while leaving other features intact.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}