Hash Table Visualizer — Hashing & Collisions
Interactive hash table with separate chaining — insert, search, delete with animated hashing and collision chaining. Runs in your browser.
Pseudocode
Run an operation to see its steps.
Avg · Worst
How to use
- 1 Type a number and press Insert — it is hashed to a bucket (value % 7).
- 2 When two values hash to the same bucket, they chain (separate chaining).
- 3 Press Search or Delete to hash to a bucket and scan its chain.
- 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.
Hash Table Visualizer is a free algorithm utility by Zerethon Tools. Interactive hash table with separate chaining — insert, search, delete with animated hashing and collision chaining. Runs in your browser. Runs entirely in the browser — no signup, no upload.
- Category
- Algorithm
- Pricing
- Free
- Privacy
- Browser-based
- Signup
- Not required
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 →
Build, share, and grow on Zerethon Social
Free signup. Earn points, collect achievements, and connect with creators worldwide.