SnapDevCode

DSA Visualizer

Interactive Learning Suite

Visualize & Master
Algorithms Step-by-Step.

Interactive animations, real-time code highlighting, and speed controls for every data structure.

SortingO(N²)

Bubble Sort

Repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order.

LeetCode: #912 Sort an Array
Space: O(1)Launch Visualizer
SortingO(N²)

Selection Sort

Divides the list into a sorted and unsorted region, repeatedly selecting the smallest element from the unsorted region.

LeetCode: #75 Sort Colors
Space: O(1)Launch Visualizer
SortingO(N²)

Insertion Sort

Builds the final sorted array one item at a time by inserting each element into its proper position among sorted items.

LeetCode: #147 Insertion Sort List
Space: O(1)Launch Visualizer
SortingO(N log N)

Quick Sort

Picks an element as a pivot and partitions the given array around the picked pivot using divide and conquer.

LeetCode: #215 Kth Largest (QuickSelect)
Space: O(log N)Launch Visualizer
SortingO(N log N)

Merge Sort

Divides array into halves, recursively sorts them, and then merges the two sorted halves back together.

LeetCode: #148 Sort List (Merge Sort)
Space: O(N)Launch Visualizer
SearchingO(log N)

Binary Search

Search algorithm that finds the position of a target value within a sorted array by dividing search space in half.

LeetCode: #704 Binary Search
Space: O(1)Launch Visualizer
GraphsO((V + E) log V)

Dijkstra's Algorithm

Finds the shortest paths between nodes in a weighted graph with non-negative edge weights.

LeetCode: #743 Network Delay Time
Space: O(V)Launch Visualizer
GraphsO(V · E)

Bellman-Ford Algorithm

Single-source shortest path algorithm that handles negative edge weights and detects negative weight cycles.

LeetCode: #787 Cheapest Flights
Space: O(V)Launch Visualizer
GraphsO(V + E)

BFS Traversal (Breadth-First)

Level-by-level graph traversal algorithm using a Queue (FIFO) to explore neighboring nodes in expanding ripples.

LeetCode: #102 Level Order Traversal
Space: O(V)Launch Visualizer
GraphsO(V + E)

DFS Traversal (Depth-First)

Deep branch graph traversal algorithm using a Stack (LIFO / Recursion) to explore down each path before backtracking.

LeetCode: #200 Number of Islands
Space: O(V)Launch Visualizer
StringsO(N + M)

KMP String Search (Knuth-Morris-Pratt)

Efficient string pattern matching algorithm using a precomputed Longest Prefix Suffix (LPS) table to skip redundant character comparisons.

LeetCode: #28 First Occurrence in String
Space: O(M)Launch Visualizer
Interactive CS Education

Master Data Structures & Algorithms Through Visual Execution

SnapDevCode DSA Visualizer transforms abstract computer science theory into intuitive step-by-step animations. Watch pointer movements, array element swaps, recursion trees, and shortest-path edge relaxations unfold in real time.

String Pattern Matching

Understand linear time sub-string searches like the Knuth-Morris-Pratt (KMP) algorithm. Learn how the Longest Prefix Suffix (LPS) array avoids redundant comparisons.

Graph Traversals & Shortest Paths

Explore Breadth-First Search (BFS), Depth-First Search (DFS), and Dijkstra’s algorithm on weighted directional graphs with live adjacency list inspections.

Sorting & Divide-and-Conquer

Contrast quadratic sorting routines (Bubble, Selection, Insertion) with logarithmic divide-and-conquer powerhouses (Merge Sort, Quick Sort).

Asymptotic Time & Space Complexity Cheat Sheet

Quick reference guide for Big-O bounds across all visualized algorithms:

AlgorithmBest TimeAverage TimeWorst TimeSpace Complexity
Binary SearchO(1)O(log N)O(log N)O(1)
Merge SortO(N log N)O(N log N)O(N log N)O(N)
Quick SortO(N log N)O(N log N)O(N²)O(log N)
KMP String SearchO(N)O(N + M)O(N + M)O(M)
Dijkstra’s AlgorithmO((V + E) log V)O((V + E) log V)O((V + E) log V)O(V)
Bellman-Ford AlgorithmO(E)O(V · E)O(V · E)O(V)
BFS / DFS Graph TraversalO(V + E)O(V + E)O(V + E)O(V)
Bubble / Insertion / Selection SortO(N) / O(N²)O(N²)O(N²)O(1)

How to Use Visualizers to Ace FAANG & Big Tech Coding Interviews

1. Identify Invariant Properties

Use the step-by-step debugger to observe how pointers (e.g. low, mid, high in Binary Search) preserve invariants across every iteration.

2. Master Edge Case Behavior

Test boundary inputs (single-element arrays, already sorted arrays, reverse sorted arrays, duplicate elements) to see how early-exit conditions trigger.

3. Connect Theory to Code

Inspect our synchronized execution lines on the right panel to understand exactly which line of source code executes during each visual phase transition.

4. Practice with Real OA Problems

Click on the linked LeetCode problem mappings on each visualizer card to practice and apply what you learned in a full coding sandbox environment.

Frequently Asked Questions (FAQ)

Answers to common inquiries regarding algorithm simulation, controls, and sound synthesis:

Can I step backwards to debug algorithmic logic?

Yes! All SnapDevCode visualizers feature bidirectional timeline controls (Step Forward, Step Back, Pause, and Reset) with a full recorded state history stack.

What is audio sonification in the visualizers?

We synthesize real-time sound frequencies using the Web Audio API corresponding to array values and comparison events, helping you hear algorithmic sorting patterns.

Can I suggest new algorithms for SnapDevCode to visualize?

Yes! Click the "Wishlist / Suggest" button at the top of the page to submit requests for Dynamic Programming, Red-Black Trees, or Trie visualizers.