What is a Hash Table Visualizer?
A hash table visualizer shows how keys are converted into bucket indexes and how collision handling changes the final table layout. It is useful for learning hash maps, dictionaries, lookup tables, separate chaining, and open addressing.
This tool uses a simple deterministic hash so the result is easy to follow. Numeric keys use the number itself, while string keys use a character-code total before applying modulo by the table size.
For the full cluster of related tools, browse the Data Structure Visualizers hub.
How to use this hash table visualizer
- Paste key-value pairs such as
apple: 4or42: answer. - Choose a table size.
- Switch between chaining and linear probing.
- Insert, search, or delete a key.
- Inspect the hash index, probe path, collisions, and bucket contents.
Separate chaining stores colliding keys in a list inside the same bucket. Linear probing searches forward for the next open bucket.
Hash table vs linked list
A linked list search usually checks nodes one by one. A hash table tries to jump directly to a bucket using a hash function.
The speed depends on the hash function, table size, load factor, and collision handling. Compare this with the Linked List Visualizer to see why hash maps are often used for fast lookup. To see a practical hash map plus linked list pattern, try the LRU Cache Visualizer.