✨ samber/lo is a Lodash-style Go library based on Go 1.18+ Generics.
This project started as an experiment with the new generics implementation. It may look like Lodash in some aspects. I used to code with the fantastic "go-funk" package, but "go-funk" uses reflection and therefore is not typesafe.
As expected, benchmarks demonstrate that generics are much faster than implementations based on the "reflect" package. Benchmarks also show similar performance gains compared to pure for loops. See below.
In the future, 5 to 10 helpers will overlap with those coming into the Go standard library (under package names slices and maps). I feel this library is legitimate and offers many more valuable abstractions.
See also:
Why this name?
I wanted a short name, similar to "Lodash" and no Go package uses this name.

go get github.com/samber/lo@v1
This library is v1 and follows SemVer strictly.
No breaking changes will be made to exported APIs before v2.0.0.
This library has no dependencies outside the Go standard library.
You can import lo using:
import ( "github.com/samber/lo" lop "github.com/samber/lo/parallel" )
Then use one of the helpers below:
names := lo.Uniq([]string{"Samuel", "John", "Samuel"}) // []string{"Samuel", "John"}
Most of the time, the compiler will be able to infer the type so that you can call: lo.Uniq([]string{...}).
I cannot recommend it, but in case you are too lazy for repeating lo. everywhere, you can import the entire library into the namespace.
import ( . "github.com/samber/lo" )
I take no responsibility on this junk. 😁 💩
GoDoc: https://godoc.org/github.com/samber/lo
Supported helpers for slices:
Supported helpers for maps:
Supported math helpers:
Supported helpers for strings:
Supported helpers for tuples:
Supported helpers for time and duration:
Supported helpers for channels:
Supported intersection helpers:
Supported search helpers:
Conditional helpers:
Type manipulation helpers:
Function helpers:
Concurrency helpers:
Error handling:
Constraints:
Iterates over a collection and returns an array of all the elements the predicate function returns true for.
even := lo.Filter([]int{1, 2, 3, 4}, func(x int, index int) bool { return x%2 == 0 }) // []int{2, 4}
[play]
Manipulates a slice of one type and transforms it into a slice of another type:
import "github.com/samber/lo" lo.Map([]int64{1, 2, 3, 4}, func(x int64, index int) string { return strconv.FormatInt(x, 10) }) // []string{"1", "2", "3", "4"}
[play]
Parallel processing: like lo.Map(), but the mapper function is called in a goroutine. Results are returned in the same order.
import lop "github.com/samber/lo/parallel" lop.Map([]int64{1, 2, 3, 4}, func(x int64, _ int) string { return strconv.FormatInt(x, 10) }) // []string{"1", "2", "3", "4"}
Returns a slice which obtained after both filtering and mapping using the given callback function.
The callback function should return two values: the result of the mapping operation and whether the result element should be included or not.
matching := lo.FilterMap([]string{"cpu", "gpu", "mouse", "keyboard"}, func(x string, _ int) (string, bool) { if strings.HasSuffix(x, "pu") { return "xpu", true } return "", false }) // []string{"xpu", "xpu"}
[play]
Manipulates a slice and transforms and flattens it to a slice of another type. The transform function can either return a slice or a nil, and in the nil case no value is added to the final slice.
lo.FlatMap([]int64{0, 1, 2}, func(x int64, _ int) []string { return []string{ strconv.FormatInt(x, 10), strconv.FormatInt(x, 10), } }) // []string{"0", "0", "1", "1", "2", "2"}
[play]
Reduces a collection to a single value. The value is calculated by accumulating the result of running each element in the collection through an accumulator function. Each successive invocation is supplied with the return value returned by the previous call.
sum := lo.Reduce([]int{1, 2, 3, 4}, func(agg int, item int, _ int) int { return agg + item }, 0) // 10
[play]
Like lo.Reduce except that it iterates over elements of collection from right to left.
result := lo.ReduceRight([][]int{{0, 1}, {2, 3}, {4, 5}}, func(agg []int, item []int, _ int) []int { return append(agg, item...) }, []int{}) // []int{4, 5, 2, 3, 0, 1}
[play]
Iterates over elements of a collection and invokes the function over each element.
import "github.com/samber/lo" lo.ForEach([]string{"hello", "world"}, func(x string, _ int) { println(x) }) // prints "hello\nworld\n"
[play]
Parallel processing: like lo.ForEach(), but the callback is called as a goroutine.
import lop "github.com/samber/lo/parallel" lop.ForEach([]string{"hello", "world"}, func(x string, _ int) { println(x) }) // prints "hello\nworld\n" or "world\nhello\n"
Iterates over collection elements and invokes iteratee for each element collection return value decide to continue or break, like do while().
list := []int64{1, 2, -42, 4} lo.ForEachWhile(list, func(x int64, _ int) bool { if x < 0 { return false } fmt.Println(x) return true }) // 1 // 2
[play]
Times invokes the iteratee n times, returning an array of the results of each invocation. The iteratee is invoked with index as argument.
import "github.com/samber/lo" lo.Times(3, func(i int) string { return strconv.FormatInt(int64(i), 10) }) // []string{"0", "1", "2"}
[play]
Parallel processing: like lo.Times(), but callback is called in goroutine.
import lop "github.com/samber/lo/parallel" lop.Times(3, func(i int) string { return strconv.FormatInt(int64(i), 10) }) // []string{"0", "1", "2"}
Returns a duplicate-free version of an array, in which only the first occurrence of each element is kept. The order of result values is determined by the order they occur in the array.
uniqValues := lo.Uniq([]int{1, 2, 2, 1}) // []int{1,


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