Classical Algorithms
The foundations of computer science
Binary search, sorting, graph traversal, and shortest paths — visualized step by step with full code synchronization.
Binary SearchQuickSortMerge SortBFSDFSDijkstra
7 algorithms
See How
AI Thinks
& Quantum Computes
Interactive dissection of deep learning, generative AI, and quantum algorithms
Free & open source · No account required · MIT Licensed
22+
Interactive Visualizations
4
Algorithm Domains
MIT
Open Source Forever
pip
Python Package
Four Domains, One Platform
From sorting algorithms to self-attention — explore every domain with the same interactive, step-by-step experience.
Deep Learning
Neural networks from neuron to network
Watch signals propagate through neurons, see backpropagation compute gradients, and understand convolution at the pixel level.
PerceptronFeedforwardBackpropConvolutionGradient Descent
5 algorithms
Generative AI
Transformers and attention, demystified
See how text becomes tokens, tokens become embeddings, and attention computes which words matter to each other.
TokenizationEmbeddingsSelf-AttentionMulti-HeadTransformer
5 algorithms
Quantum Computing
Qubits, gates, and superposition
Bloch spheres, quantum gates, and algorithms like Grover's search — visualized in ways that build real intuition.
Bloch SphereQuantum GatesGrover's SearchTeleportation
5 algorithms
Built for Real Understanding
Every feature is designed to help you build genuine intuition, not just watch animations.
Step-by-Step Playback
Play, pause, step forward, step backward, and scrub through any algorithm at your own pace.
Synchronized Code
Every step highlights the exact line of code being executed. See the connection between logic and visualization.
Plain-Language Explanations
Each step includes a human-readable explanation of what just happened and why it matters.
Custom Inputs
Modify the input data and parameters to see how the algorithm behaves differently. Real understanding comes from experimentation.
Shareable Links
Every visualization state has a unique URL. Share the exact step you're looking at with anyone.
Python Integration
pip install eigenvue — use the same visualizations in Jupyter notebooks and Python scripts.
Works Where You Work
Install the Python package and use the same visualizations in Jupyter notebooks, scripts, and research workflows.
pip install eigenvuenpm install eigenvueexample.py
1import eigenvue23# List all available algorithms4eigenvue.list()56# Visualize self-attention interactively7eigenvue.show("self-attention")89# Use in Jupyter notebooks10eigenvue.jupyter("transformer-block")
Start Exploring Now
No account needed. No installation required. Pick an algorithm and start learning.