Hashing Visualizer

Explore hash tables, hash maps, and hash sets with animated hashing, collisions, buckets, operations, and responsive controls.

Current status: Choose a mode, add a key, and follow it into its bucket.
Hashing playground

Hash Structures Visualizer

Hash a key, watch it travel to a bucket, and see how chaining and rehashing preserve fast lookups.

Bucket stage

Separate chaining in action

8 buckets
Choose a mode, add a key, and follow it into its bucket.
bucket 00 items

empty

bucket 10 items

empty

bucket 20 items

empty

bucket 30 items

empty

bucket 40 items

empty

bucket 50 items

empty

bucket 60 items

empty

bucket 70 items

empty

What changes between the three modes?

The hash function and buckets work the same way in all modes. A Hash Table stores keys, a Hash Map connects each key to a value, and a Hash Set rejects duplicate keys. Collisions are resolved here with separate chaining.

Average lookup

O(1)

Collision handling

chain

Resize threshold

0.75

Concept guide

Review the mental model, tradeoffs, and practical use cases after you experiment.

Hash Structures Complete Info Card

Hash TableHash MapHash Set

Three fundamental hash-based structures with distinct characteristics.Hash Table provides thread-safe key-value storage, Hash Map offers high-performance unordered mappings, and Hash Set ensures unique element storage using hash codes.

Hash Table

Collision Handling

Linked lists or probing

Chaining/Open Addressing

Synchronization

Built-in locking

Thread-Safe

Null Support

No null keys/values

No

Ordering

No insertion order

Unordered

Legacy

Since Java 1.0

Yes

Performance

Synchronization overhead

Slower

Hash Map

Collision Handling

Java 8+ implementation

Red-Black Tree

Synchronization

Requires external sync

Not Thread-Safe

Null Support

1 null key, multiple null values

Yes

Ordering

LinkedHashMap maintains order

Optional

Legacy

Java 1.2+

No

Performance

No synchronization

Faster

Hash Set

Underlying Structure

Uses map internally

HashMap

Duplicates

Unique elements only

No

Null Support

Single null element

Yes

Ordering

LinkedHashSet for order

Unordered

Thread Safety

Use Collections.synchronizedSet

No

Performance

Constant time operations

O(1)

Operation Comparison

OperationHash TableHash MapHash Set
Add/Insertput(key, value)put(key, value)add(element)
Lookupget(key)get(key)contains(element)
Removeremove(key)remove(key)remove(element)
IterationEnumerationIteratorIterator
Sizesize()size()size()

Hash Table Use Cases

  • Legacy systems
  • Thread-safe environments
  • Synchronized dictionary implementations

Hash Map Use Cases

  • General-purpose key-value storage
  • High-performance applications
  • Caching mechanisms

Hash Set Use Cases

  • Duplicate elimination
  • Membership testing
  • Mathematical set operations
Pro Tip: Prefer Hash Map for most modern applications due to better performance. Use Hash Table only when thread safety is required without external synchronization. Hash Set is ideal for unique element management and set operations.
Key-Value vs Unique ElementsConcurrency ControlPerformance Tradeoffs