Mutative - A JavaScript library for efficient immutable updates, 2-6x faster than naive handcrafted reducer, and more than 10x faster than Immer.
Why is Mutative faster than the spread operation(naive handcrafted reducer)?
The spread operation has performance pitfalls, which can be detailed in the following article:
And Mutative optimization focus on shallow copy optimization, more complete lazy drafts, finalization process optimization, and more.
Writing immutable updates by hand is usually difficult, prone to errors, and cumbersome. Immer helps us write simpler immutable updates with "mutative" logic.
But its performance issue causes a runtime performance overhead. Immer must have auto-freeze enabled by default(Performance will be worse if auto-freeze is disabled), such immutable state with Immer is not common. In scenarios such as cross-processing, remote data transfer, etc., these immutable data must be constantly frozen.
There are more parts that could be improved, such as better type inference, non-intrusive markup, support for more types of immutability, Safer immutability, more edge cases, and so on.
This is why Mutative was created.
Mutative vs Reducer benchmark by object:
// baseState type: Record<string, { value: number }>
const state = {
...baseState,
key0: {
...baseState.key0,
value: i,
},
};
const state = create(baseState, (draft) => {
draft.key0.value = i;
});

Measure(seconds) to update the 1K-100K items object, lower is better(view source).
Mutative is up to 2x faster than naive handcrafted reducer for updating immutable objects.
Mutative vs Reducer benchmark by array:
// baseState type: { value: number }[]
// slower 6x than Mutative
const state = [
{ ...baseState[0], value: i },
...baseState.slice(1, baseState.length),
];
// slower 2.5x than Mutative
// const state = baseState.map((item, index) =>
// index === 0 ? { ...item, value: i } : item
// );
// same performance as Mutative
// const state = [...baseState];
// state[0] = { ...baseState[0], value: i };
The actual difference depends on which spread operation syntax you use.
const state = create(baseState, (draft) => {
draft[0].value = i;
});

Measure(seconds) to update the 1K-100K items array, lower is better(view source).
Mutative is up to 6x faster than naive handcrafted reducer for updating immutable arrays.
Mutative passed all of Immer's test cases.
Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better(view source). [Mutative v1.3.0 vs Immer v10.1.3]

Naive handcrafted reducer - No Freeze x 4,777 ops/sec ±1.06% (94 runs sampled)
Mutative - No Freeze x 6,783 ops/sec ±0.71% (96 runs sampled)
Immer - No Freeze x 5.72 ops/sec ±0.39% (19 runs sampled)
Mutative - Freeze x 1,069 ops/sec ±0.75% (97 runs sampled)
Immer - Freeze x 392 ops/sec ±0.66% (92 runs sampled)
Mutative - Patches and No Freeze x 1,006 ops/sec ±1.73% (95 runs sampled)
Immer - Patches and No Freeze x 5.73 ops/sec ±0.16% (19 runs sampled)
Mutative - Patches and Freeze x 548 ops/sec ±1.06% (94 runs sampled)
Immer - Patches and Freeze x 287 ops/sec ±0.84% (93 runs sampled)
The fastest method is Mutative - No Freeze
Run yarn benchmark to measure performance.
OS: macOS 14.7, CPU: Apple M1 Max, Node.js: v22.11.0
Immer relies on auto-freeze to be enabled, if auto-freeze is disabled, Immer will have a huge performance drop and Mutative will have a huge performance lead, especially with large data structures it will have a performance lead of more than 50x.
So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 17x performance gap between Mutative (6,783 ops/sec) and Immer (392 ops/sec).
Overall, Mutative has a huge performance lead over Immer in more performance testing scenarios. Run yarn performance to get all the performance results locally.
More Performance Testing Scenarios, Mutative is up to 2.5X-82.9 faster than Immer:

| Mutative | Immer | |
|---|---|---|
| Custom shallow copy | ✅ | ❌ |
| Strict mode | ✅ | ❌ |
| No data freeze by default | ✅ | ❌ |
| Non-invasive marking | ✅ | ❌ |
| Complete freeze data | ✅ | ❌ |
| Non-global config | ✅ | ❌ |
| async draft function | ✅ | ❌ |
| Fully compatible with JSON Patch spec | ✅ | ❌ |
| new Set methods(Mutative v1.1.0+) | ✅ | ❌ |
Mutative has fewer bugs such as accidental draft escapes than Immer, view details.
Yarn
yarn add mutative
NPM
npm install mutative
CDN
<script src="https://unpkg.com/mutative"></script><script src="https://cdn.jsdelivr.net/npm/mutative"></script>import { create } from 'mutative';
const baseState = {
foo: 'bar',
list: [{ text: 'coding' }],
};
const state = create(baseState, (draft) => {
draft.list.push({ text: 'learning' });
});
expect(state).not.toBe(baseState);
expect(state.list).not.toBe(baseState.list);
create(baseState, (draft) => void, options?: Options): newState
The first argument of create() is the base state. Mutative drafts it and passes it to the arguments of the draft function, and performs the draft mutation until the draft function finishes, then Mutative will finalize it and produce the new state.
Use create() for more advanced features by setting options.
create()apply()current()original()unsafe()isDraft()isDraftable()rawReturn()makeCreator()markSimpleObject()create()Use create() for draft mutation to get a new state, which also supports currying.
import { create } from 'mutative';
const baseState = {
foo: 'bar',
list: [{ text: 'todo' }],
};
const state = create(baseState, (draft) => {
draft.foo = 'foobar';
draft.list.push({ text: 'learning' });
});
In this basic example, the changes to the draft are 'mutative' within the draft callback, and create() is finally executed with a new immutable state.
create(state, fn, options)Then options is optional.
boolean, the default is false.Forbid accessing non-draftable values in strict mode(unless using unsafe()).
When strict mode is enabled, mutable data can only be accessed using
unsafe().It is recommended to enable
strictin development mode and disablestrictin production mode. This will ensure safe explicit returns and also keep good performance in the production build. If the value that does not mix any current draft or isundefinedis returned, then use rawReturn().If you'd like to enable strict mode by default in a development build and turn it off for production, you can use
strict: process.env.NODE_ENV !== 'production'.
boolean | { pathAsArray?: boolean; arrayLengthAssignment?: boolean; }, the default is false.Enable patch, and return the patches/inversePatches.
If you need to set the shape of the generated patch in more detail, then you can set
pathAsArrayandarrayLengthAssignment。pathAsArraydefault value istrue, if it'strue, the path will be an array, otherwise it is a string;arrayLengthAssignmentdefault value istrue, if it'strue, the array length will be included in the patches, otherwise no include array length(NOTE: IfarrayLengthAssignmentisfalse, it is fully compatible with JSON Patch spec, but it may have additional performance loss), view related discussions.
boolean, the default is false.Enable autoFreeze, and return frozen state, and enable circular reference checking only in
developmentmode.
(target) => ('mutable'|'immutable'|function) | (target) => ('mutable'|'immutable'|function)[]Set a mark to determine if the value is mutable or if an instance is an immutable, and it can also return a shallow copy function(
AutoFreezeandPatchesshould both be disabled, Some patches operation might not be equivalent). When the mark function is (target) => 'immutable', it means all the objects in the state structure are immutable. In this specific case, you can totally turn onAutoFreezeandPatches.marksupports multiple marks, and the marks are executed in order, and the first mark that returns a value will be used. When a object tree node is marked by themarkfunction asmutable, all of its child nodes will also not be drafted by Mutative and will retain their original values.
create() - Curryingdraftconst [draft, finalize] = create(baseState);
draft.foobar.bar = 'baz';
const state = finalize();
Support set options such as
const [draft, finalize] = create(baseState, { enableAutoFreeze: true });
producerconst produce = create((draft) => {
draft.foobar.bar = 'baz';
});
const state = produce(baseState);
Also support set options such as
const produce = create((draft) => {}, { enableAutoFreeze: true });
apply()Use apply() for applying patches to get the new state.
import { create, apply } from 'mutative';
const baseState = {
foo: 'bar',
list: [{ text: 'todo' }],
};
const [state, patches, inversePatches] = create(
baseState,
(draft) => {
draft.foo = 'foobar';
draft.list.push({ text: 'learning' });
},
{
enablePatches: true,
}
);
const nextState = apply(baseState, patches);
expect(nextState).toEqual(state);
const prevState = apply(state, inversePatches);
expect(prevState).toEqual(baseState);
apply(state, patches, options)The options parameter is optional and supports two types of configurations:
Immutable options (similar to create options but without enablePatches):
strict - boolean, forbid accessing non-draftable values in strict mode
enableAutoFreeze - boolean, enable autoFreeze and return frozen statemark - mark function to determine if a value is mutable/immutableconst baseState = { foo: { bar: 'test' } };
// This will create a new state.
const result = apply(baseState, [
{
op: 'replace',
path: ['foo', 'bar'],
value: 'test2',
},
]);
expect(baseState).not.toEqual({ foo: { bar: 'test2' } });
expect(result).toEqual({ foo: { bar: 'test2' } });
mutable - boolean, if true the state will be mutated directly instead of creating a new stateExample with muta
$ claude mcp add mutative \
-- python -m otcore.mcp_server <graph>