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AlgoBloom

v2.4 Live

The Living Code Garden & Algorithm Mental-Model Workbench

Garden Health: 94% 🌸
✨ Analyze My Code
Step 0 of 0
🐢 Speed 🕊️
🌱 Garden Ready Ready to sprout algorithmic visualization.
Comparisons 0
Swaps / Transitions 0
Time Complexity O(n²)
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Algorithmic Guide

Welcome to AlgoBloom! Click "▶️ Play" or "Step Forward" to watch elements dance and sort in real-time.

Interactive Code Diagnosis

Paste your own Python or JS code to evaluate AST complexity & garden vitality.

💡 Tests loop nesting, cyclomatic complexity & branches.

Garden Health & Complexity Radar

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Flowering Cherry Blossom
Vitality Score 82 / 100
Estimated Time O(n²) Quadratic complexity
Auxiliary Space O(1) In-place memory footprint
Max Loop Nesting 2 Levels of iteration
Cyclomatic Branches 3 Independent execution paths

🌿 Botanical Code Insights:

  • Quadratic time complexity O(n²). Optimal for small arrays under 1,000 items.
  • Clean in-place memory allocation minimizes garbage collector stress.

Your Algorithmic Ecosystem

Each algorithm you explore and optimize nurtures a unique specimen in your digital greenhouse. Click any plant to water it and hear resonant marimba tones!

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Golden Lotus of O(1)

Blooms when constant-time hash lookups or direct arithmetic occur.

💧 Water Plant
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Sakura Divide-and-Conquer

Thrives under Merge Sort and Binary Search logarithmic splits.

💧 Water Plant
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Memoization Bonsai

Avoids redundant exponential branches through pruned cache lookups.

💧 Water Plant
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Graph Vine Canopy

Reaches outward across nodes and vertices in wave-like BFS exploration.

💧 Water Plant
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Solar Partition Sunflower

Pivots data around central axes with Quick Sort precision.

💧 Water Plant
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In-Place Cactus

Survives extreme memory droughts by operating strictly within O(1) space.

💧 Water Plant

Algorithmic Efficiency Spectrum

Detailed comparison of runtime complexity, space footprint, and operational characteristics across algorithms.

Algorithm Category Best Case Average Case Worst Case Auxiliary Space Stability
🌸 Bubble Sort Comparison Sort O(n) O(n²) O(n²) O(1) Stable
🌻 Quick Sort Divide & Conquer O(n log n) O(n log n) O(n²) O(log n) Unstable
🌸 Merge Sort Divide & Conquer O(n log n) O(n log n) O(n log n) O(n) Stable
🎯 Binary Search Search O(1) O(log n) O(log n) O(1) N/A
🌿 Breadth-First Search Graph Traversal O(V + E) O(V + E) O(V + E) O(V) Shortest Path
🪴 Fibonacci (Memoized) Dynamic Programming O(1) O(n) O(n) O(n) Optimal