Skip to main content
Z

Hash Table Visualizer — Hashing & Collisions

Interactive hash table with separate chaining — insert, search, delete with animated hashing and collision chaining. Runs in your browser.

Free No signup Client-side Privacy friendly Updated

/

Pseudocode

Run an operation to see its steps.

How to use

  1. 1 Type a number and press Insert — it is hashed to a bucket (value % 7).
  2. 2 When two values hash to the same bucket, they chain (separate chaining).
  3. 3 Press Search or Delete to hash to a bucket and scan its chain.
  4. 4 Use Random to insert a random value, or Clear to empty the table.

Why use this tool

  • See how a hash function maps values to buckets in one step.
  • Watch collisions resolve by chaining values in the same bucket.
  • Understand why lookups are O(1) on average but O(n) when chains grow long.
  • Runs entirely in your browser. No signup, no uploads.

Frequently asked questions

What is a hash table?

A hash table stores key/value pairs in an array of buckets, using a hash function to compute each key’s bucket index for near-constant-time insert, search, and delete.

What is a hash collision?

When two different keys hash to the same bucket. This visualizer resolves collisions with separate chaining — each bucket holds a linked list of entries.

What is the time complexity of hash-table operations?

O(1) on average for insert, search, and delete. The worst case is O(n) when many keys collide into one bucket.

What hash function does this use?

A simple modulo hash, index = value % 7, to keep the buckets easy to follow. Real hash tables use stronger hashes and resize to keep chains short.

What is Hash Table Visualizer?

A Hash Table Visualizer animates a hash table that uses separate chaining: a hash function (value % 7) maps each value to a bucket, and colliding values are chained in that bucket. It shows insert, search, and delete with average O(1) operations.

Features

Insert / search / delete

Animate hashing a key to a bucket and resolving collisions.

Complexity

Average O(1) per operation; worst O(n) with heavy collisions. Space: O(n).

100% private

Runs entirely in your browser — nothing is uploaded.

Example

Input

put("cat"), put("dog")

Output

bucket = hash(key) mod capacity; collisions chained → average O(1) lookup

Common use cases

  1. 1

    Understand O(1) lookups

    See why hashing gives average constant-time access.

  2. 2

    Collisions & load factor

    Watch how collisions and a rising load factor degrade performance.

  3. 3

    Dictionaries & sets

    Learn the structure behind hash maps and hash sets.

Summary

Zerethon's hash table visualizer animates insert, search, and delete in your browser, mapping each key to a bucket via a hash function and resolving collisions (e.g. by chaining). On average these operations run in O(1); the worst case is O(n) when many keys collide into one bucket. Space is O(n), and performance depends on the hash function and load factor.

Category
Algorithm
Pricing
Free
Privacy
Browser-based
Signup
Not required

References

Privacy

Your data never leaves your browser unless explicitly stated. Hash Table Visualizer runs entirely client-side — no server upload, no logging, no tracking of your input.

New to this? Read the step-by-step explanation with Big-O analysis: Learn Data Structures →

Compare

Stack vs Queue

Related tools

Bubble Sort Visualizer

Animated bubble sort with step controls, speed, custom input, live comparison/swap counters and pseudocode. Runs entirely in your browser.

Open tool

Insertion Sort Visualizer

Animated insertion sort with step controls, speed, custom input, live comparison/write counters and pseudocode. Runs in your browser.

Open tool

Selection Sort Visualizer

Animated selection sort with step controls, speed, custom input, live comparison/swap counters and pseudocode. Runs in your browser.

Open tool

Merge Sort Visualizer

Animated merge sort with step controls, speed, custom input, live comparison/write counters and pseudocode. Runs in your browser.

Open tool

Build, share, and grow on Zerethon Social

Free signup. Earn points, collect achievements, and connect with creators worldwide.

Try Zerethon free