Making-Scientific-Visualizations-with-the-Omniacs

🎬 Making Scientific Visualizations with the Omniacs

This repository contains a curated collection of algorithmic, scientific, and mathematical animations built using Manim Community Edition. Each animation brings a concept to life — from pathfinding to cryptography to complex 3D topologies — with the goal of making learning visual, engaging, and open source.

Watch the Youtube playlist here!

🔍 What You’ll Find Here

• Algorithms: Pathfinding, sorting, Caesar cipher
• Mathematics: Hilbert curves, sine wave formation, Fourier transforms
• Statistics: Normal distribution, dynamic data visualization
• Computer Science: SPI, I2C, and mesh topology networks
• Physics & Systems: Lorenz attractor, harmonic motion
• Fun & Interactive: Rubik’s cube solving, connect-the-dots puzzles

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• A* Pathfinding Algorithm Link.
• Bredth First Search Algorithm Link.
• Backtracking Algorithm Link.
• Bubble Sort Algorithm Link.
• Color Sorting Puzzle Algorithm Link
• Connect The Dot Animation Link
• Dynamic Data Distribution Link
• Hilbert Curve Algorithm Link
• Circle-Line Intersection Link
• Mesh Topology Animation Link
• Path Finding Algorithm Link
• Rubik’s Cube Link
• I2C Communication Link
• SPI COmmunication Link
• Consonant Frequency Progression Link
• Caesar Cipher Link
• Cordinate System Link
• Fourier Transform Link
• Lorenz Attractor Link
• Normal Distribution Link
• Pi Irrational Link
• Sine Curve Link

Inside the animations/ folder, each Python script represents one standalone visual experiment. Each script is accompanied by:

• A detailed README.md that explains the concept
• Visual breakdowns of key animation features
• Instructions for rendering using Manim

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Python

Python is a powerful, modern tool, easy-to-learn, and versatile programming language widely used for web development, data analysis, automation, artificial intelligence, scientific computing, and more. Its clear syntax and large ecosystem of libraries like Manim, Plotly, Seaborn, and Matplotlib make it a popular choice for beginners and professionals alike.

Install Python

Install on Windows

1. Go to the official Python download page.
2. Download the latest Python installer for Windows.
3. Run the installer.
   • Important: Check the “Add Python to PATH” box before clicking “Install Now.”
4. Follow the prompts to complete installation.

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Install on Linux

• Debian/Ubuntu:

    sudo apt update
    sudo apt install python3 python3-pip
  

• Fedora:

    sudo dnf install python3 python3-pip
  

• Other distros:
  Use your package manager or refer to your distribution’s documentation.

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Install on macOS

1. Install Homebrew if not already installed.
2. Open Terminal and run:

    brew install python
   

3. Alternatively, download the official installer from python.org.

Manim

Manim (Mathematical Animation Engine) is a robust Python-based library designed for crafting accurate, high-resolution mathematical and scientific animations. Although it gained popularity through 3Blue1Brown’s educational YouTube channel, Manim is also a versatile tool for illustrating complex ideas in physics, computer science, engineering, and data science.

Creating animations for technical topics can often be time-consuming and difficult, especially when precision is essential. Manim addresses this by allowing developers to generate animations programmatically using Python, enabling fine-grained control over each visual element. This precision helps educators and content creators deliver clear, visually engaging explanations of abstract or complex subjects.

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Why Use Manim?

• Precision: Built with mathematical accuracy in mind.
• Customization: Scriptable in Python, so you can control every aspect.
• Open-source: Actively maintained and community-driven.
• Educational Power: Helps learners grasp abstract or complex ideas through visual storytelling.

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How to Set Up Manim

Prerequisites

• Python 3.8 or higher
• Pip (Python’s package installer)
• Git (Optional but helpful)
• FFMPEG (For rendering videos)
• LaTeX (For rendering mathematical expressions)

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Installation by OS

Windows

1. Install FFMPEG
   • Easiest via Chocolatey (if installed):

     choco install ffmpeg
     

   • Or download manually: FFmpeg download
2. Create a Virtual Environment (recommended)
   ```bash python -m venv manim_env manim_env\Scripts\activate

3 Install Manim

Install via pip

pip install manim

Test Installation

manim -h

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macOS

1. Install Homebrew (if not already)

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

1. Install FFMPEG

brew install ffmpeg

4 Install Manim

pip install manim

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Linux (Ubuntu/Debian)

1. Install dependencies

sudo apt update
sudo apt install ffmpeg python3-pip python3-venv

1. Create and activate virtual environment

python3 -m venv manim_env
source manim_env/bin/activate

1. Install Manim

pip install manim

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Visualizations

In this sections, a list of animations and how they are created are outlined with links to the slides detailing every step needed for a fully created animation The animations are grouped into different categories including algorithms and data structures, ……..

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Algorithms and Data Structures

Algorithms are step-by-step procedures for solving problems or performing tasks. Key categories include:

• Sorting (QuickSort, MergeSort): Arrange data in order.

• Searching (Binary Search): Find elements in data.

• Traversal (DFS, BFS): Navigate structures like trees or graphs.

• Dynamic Programming & Greedy: Optimize solutions to complex problems.

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On the other hand, data structures are ways to organize and store data so it can be accessed and modified efficiently. Common types include:

• Arrays & Lists: Store elements in order.

• Stacks & Queues: Follow specific access rules (LIFO/FIFO).

• Trees & Graphs: Represent hierarchical and networked data.

• Hash Tables: Offer fast lookup using key-value pairs.

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How to Run the File to Generate the Animations.

1. Ensure Your System Is Up to Date and manim and python are installed successfully.

Windows

Open Command Prompt or PowerShell and run:

winget upgrade --all

Ubuntu/Linux

Open Terminal and run:

sudo apt update && sudo apt upgrade

macOS

Open Terminal and run:

softwareupdate --all --install --force

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💾 3. Save the Script

Save your animation script in a file, for example:

filename.py

Ensure your class inside the script is named write your animation name here (Manim uses this name to render the scene).

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4. Render the Animation

Use the Manim CLI to render the animation:

manim -pq<quality> filename.py 

Replace <quality> with your preferred rendering level.

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Rendering Quality Options

Flag	Quality	Resolution	Speed	Best For
-pql	Low	480p	Fast	Quick development previews
-pqm	Medium	720p	Moderate	Presentations
-pqh	High	1080p	Slower	Final output

Example – High Quality Render:

manim -pqh bfs.py BFSVisualization

• -p = preview after render
• -q = quality
• l, m, h = low, medium, high respectively

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Output Location

The rendered video will be saved in a directory like:

media/videos/bfs/1080p60/

You can copy or move the output .mp4 file as per your need.

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Tips & Customization

• Use -pql during development for faster rendering and to safe time.
• Tweak colors, labels, and layout to visualize different algorithms.
• You can also render in 4K with:

    manim -p --format=mp4 --resolution=3840,2160 filename.py
  

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Maintained with ❤️ by Omniacs.DAO – accelerating digital public goods through data.

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