A proposal for an utility function for splitting an Array using a predicate. You can find an initial implementation of a polyfill here

const numbers = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const isEven = (n) => n % 2 === 0;

const [even, odd] = numbers.partition(n => isEven(n));

While .filter is a helpful way of eliminating unwanted items from your collection by filtering them out, wanting to simply remove the items is not always the case. The .reduce function can serve the purpose of manipulating the items, but it doesn't cover easily the need of having multiple arrays built for you depending on conditions you apply to the items.

const numbers = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,15]

const isEven = n => n % 2 === 0

const even = numbers.filter(n => isEven(n))
const odd = numbers.filter(n => !isEven(n)) 

const numbers = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,15]

const isEven = n => n % 2 === 0

const [even, odd] = numbers.reduce(
  ([even, odd], num) => 
    isEven(num) ? [even.concat(num), odd]: [even, odd.concat(num)],
  [[], []]
)

const numbers = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,15]

const isEven = n => n % 2 === 0

let even = []
let odd = []

for (const number of numbers) {
  isEven(number) ? even.push(number) : odd.push(number)
}

• Ruby - Enumerable.partition
• OCaml - List.partition
• Elixir - Enum.split_with
• Kotlin - Collection.partition
• Erlang - List.partition
• Rust - trait.Iterator.partition
• Common Lisp - partition

• Lodash - _.partition(collection, predicate)
• Underscore - _.partition(list, predicate)
• Ramda - R.partition(predicate, filterable)
• RxJS - Observable.partition(predicate)
• Collect.js - .partition(predicate)

NOTE - callbackfn should be a function that accepts three arguments and returns a value that is coercible to the Boolean value true or false. partition calls callbackfn once for each element in the array, in ascending order, and constructs two new arrays: one of all the values for which callbackfn returns true and another of all the values for which callbackfn returns false. callbackfn is called only for elements of the array which actually exist; it is not called for missing elements of the array.

If a thisArg parameter is provided, it will be used as the this value for each invocation of callbackfn. If it is not provided, undefined is used instead.

callbackfn is called with three arguments: the value of the element, the index of the element, and the object being traversed.

partition does not directly mutate the object on which it is called but the object may be mutated by the calls to callbackfn.

The range of elements processed by partition is set before the first call to callbackfn. Elements which are appended to the array after the call to partition begins will not be visited by callbackfn. If existing elements of the array are changed their value as passed to callbackfn will be the value at the time partition visits them; elements that are deleted after the call to partition begins and before being visited are not visited.

When the partition method is called with one or two arguments, the following steps are taken:

1. Let `O` be ? `ToObject(this value)`.
2. Let `len` be ? `LengthOfArrayLike(O)`.
3. If `IsCallable(callbackfn)` is `false`, throw a `TypeError` exception.
4. Let `A` be ? ArraySpeciesCreate(O, 0).
5. Let `B` be ? ArraySpeciesCreate(O, 0).
6. Let `Tuple` be ? ArrayCreate(2).
7. Let k be 0.
8. Let `toA` be 0.
9. Let `toB` be 0.
10. Repeat while `k < len`: 
    a. Let `Pk` be ! ToString(k).
    b. Let `kPresent` be ? HasProperty(O, Pk).
    c. If `kPresent` is `true`, then
        i. Let `kValue` be ? `Get(O, Pk)`.
        ii. Let `selected` be ! `ToBoolean(? Call(callbackfn, thisArg, « kValue, k, O »))`.
        iii. If `selected` is `true`, then
            1. Perform ? `CreateDataPropertyOrThrow(A, ! ToString(toA), kValue)`.
            2. Set `toA` to `toA + 1`.
        iv. Else,
            1. Perform ? `CreateDataPropertyOrThrow(B, ! ToString(toB), kValue)`.
            2. Set `toB` to `toB + 1`.
    d. Set `k` to `k + 1`
11. Perform ? `CreateDataPropertyOrThrow(Tuple, ! ToString(0), A)
12. Perform ? `CreateDataPropertyOrThrow(Tuple, ! ToString(1), B)
13. Return `Tuple`