lo - Iterate over slices, maps, channels...
✨ samber/lo is a Lodash-style Go library based on Go 1.18+ Generics.
A utility library based on Go 1.18+ generics that makes it easier to work with slices, maps, strings, channels, and functions. It provides dozens of handy methods to simplify common coding tasks and improve code readability. It may look like Lodash in some aspects.
5 to 10 helpers may overlap with those from the Go standard library, in packages slices and maps. I feel this library is legitimate and offers many more valuable abstractions.
See also:
- samber/ro: Reactive Programming for Go: declarative and composable API for event-driven applications
- samber/do: A dependency injection toolkit based on Go 1.18+ Generics
- samber/mo: Monads based on Go 1.18+ Generics (Option, Result, Either...)
- samber/cc-skills-golang: AI Agent Skills for Golang
What makes it different from samber/ro?
- lo: synchronous helpers across finite sequences (maps, slices...)
- ro: processing of infinite data streams for event-driven scenarios
Why this name?
I wanted a short name, similar to "Lodash", and no Go package uses this name.
🚀 Install
go get github.com/samber/lo@v1
# AI Agent Skill
npx skills add https://github.com/samber/cc-skills-golang --skill golang-samber-lo
This library is v1 and follows SemVer strictly.
No breaking changes will be made to exported APIs before v2.0.0, except for experimental packages under exp/.
This library has no dependencies outside the Go standard library.
💡 Usage
You can import lo using:
import (
"github.com/samber/lo"
lop "github.com/samber/lo/parallel"
lom "github.com/samber/lo/mutable"
loi "github.com/samber/lo/it"
)
Then use one of the helpers below:
names := lo.Uniq([]string{"Samuel", "John", "Samuel"})
// []string{"Samuel", "John"}
Tips for lazy developers
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 for this junk. 😁 💩
🤠 Spec
GoDoc: godoc.org/github.com/samber/lo
Documentation: lo.samber.dev
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:
Filter
Iterates over a collection and returns a slice of all the elements the predicate function returns true for.
result := lo.Filter([]int{1, 2, 3, 4}, func(x int, index int) bool {
return x%2 == 0
})
// []int{2, 4}
[play]
// Use FilterErr when the predicate can return an error
result, err := lo.FilterErr([]int{1, 2, 3, 4}, func(x int, _ int) (bool, error) {
if x == 3 {
return false, fmt.Errorf("number 3 is not allowed")
}
return x%2 == 0, nil
})
// []int(nil), error("number 3 is not allowed")
[play]
Mutable: like lo.Filter(), but the slice is updated in place.
import lom "github.com/samber/lo/mutable"
list := []int{1, 2, 3, 4}
newList := lom.Filter(list, func(x int) bool {
return x%2 == 0
})
list
// []int{2, 4, 3, 4}
newList
// []int{2, 4}
[play]
Map
Manipulates a slice of one type and transforms it into a slice of another type:
import "github.com/samber/lo"
result1:= lo.Map([]int64{1, 2, 3, 4}, func(x int64, index int) string {
return strconv.FormatInt(x, 10)
})
// []string{"1", "2", "3", "4"}
// Use MapErr when the transform function can return an error
result2, err := lo.MapErr([]int{1, 2, 3, 4}, func(x int, _ int) (string, error) {
if x == 3 {
return "", fmt.Errorf("number 3 is not allowed")
}
return strconv.Itoa(x), nil
})
// []string(nil), error("number 3 is not allowed")
[play]
Parallel processing: like lo.Map(), but the transform function is called in a goroutine. Results are returned in the same order.
import lop "github.com/samber/lo/parallel"
partitionedByParity := lop.Map([]int64{1, 2, 3, 4}, func(x int64, _ int) string {
return strconv.FormatInt(x, 10)
})
// []string{"1", "2", "3", "4"}
[play]
Mutable: like lo.Map(), but the slice is updated in place.
import lom "github.com/samber/lo/mutable"
list := []int{1, 2, 3, 4}
lom.Map(list, func(x int) int {
return x*2
})
// []int{2, 4, 6, 8}
[play]
UniqMap
Manipulates a slice and transforms it to a slice of another type with unique values.
type User struct {
Name string
Age int
}
users := []User{{Name: "Alex", Age: 10}, {Name: "Alex", Age: 12}, {Name: "Bob", Age: 11}, {Name: "Alice", Age: 20}}
names := lo.UniqMap(users, func(u User, index int) string {
return u.Name
})
// []string{"Alex", "Bob", "Alice"}
[play]
FilterMap
Returns a slice 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]
FlatMap
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"}
// Use FlatMapErr when the transform function can return an error
result, err := lo.FlatMapErr([]int64{0, 1, 2, 3}, func(x int64, _ int) ([]string, error) {
if x == 2 {
return nil, fmt.Errorf("number 2 is not allowed")
}
return []string{strconv.FormatInt(x, 10), strconv.FormatInt(x, 10)}, nil
})
// []string(nil), error("number 2 is not allowed")
[play]
Reduce
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
// Use ReduceErr when the accumulator function can return an error
result, err := lo.ReduceErr([]int{1, 2, 3, 4}, func(agg int, item int, _ int) (int, error) {
if item == 3 {
return 0, fmt.Errorf("number 3 is not allowed")
}
return agg + item, nil
}, 0)
// 0, error("number 3 is not allowed")
[play]
ReduceRight
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}
// Use ReduceRightErr when the accumulator function can return an error
result, err := lo.ReduceRightErr([]int{1, 2, 3, 4}, func(agg int, item int, _ int) (int, error) {
if item == 2 {
return 0, fmt.Errorf("number 2 is not allowed")
}
return agg + item, nil
}, 0)
// 0, error("number 2 is not allowed")
[play]
ForEach
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"
ForEachWhile
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]
ForEachErr
Iterates over elements of a collection, invokes the iteratee for each element, and returns the first error returned by the iteratee. Iteration stops on the first error.
import "github.com/samber/lo"
list := []int64{1, 2, -42, 4}
err := lo.ForEachErr(list, func(x int64, _ int) error {
if x < 0 {
return fmt.Errorf("%d is not allowed", x)
}
fmt.Println(x)
return nil
})
// 1
// 2
// err: "-42 is not allowed"
Times
Times invokes the iteratee n times, returning a slice 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"}
Uniq
Returns a duplicate-free version of a slice, 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 slice.
uniqValues := lo.Uniq([]int{1, 2, 2, 1})
// []int{1, 2}
[play]
UniqBy
Returns a duplicate-free version of a slice, 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 slice. It accepts iteratee which is invoked for each element in the slice to generate the criterion by which uniqueness is computed.
uniqValues := lo.UniqBy([]int{0, 1, 2, 3, 4, 5}, func(i int) int {
return i%3
})
// []int{0, 1, 2}
// Use UniqByErr when the iteratee function can return an error
result, err := lo.UniqByErr([]int{0, 1, 2, 3, 4, 5}, func(i int) (int, error) {
if i == 3 {
return 0, fmt.Errorf("number 3 is not allowed")
}
return i % 3, nil
})
// []int(nil), error("number 3 is not allowed")
[play]
IsUniq
Returns true if all elements in the slice are unique, false otherwise. Returns true for nil and empty slices.
lo.IsUniq([]int{1, 2, 3})
// true
lo.IsUniq([]int{1, 2, 1})
// false
IsUniqBy
Returns true if all elements in the slice are unique based on a custom criterion. It accepts iteratee which is invoked for each element in the slice to generate the criterion by which uniqueness is computed. Returns true for nil and empty slices.
type User struct {
ID int
Name string
}
users := []User{{ID: 1, Name: "Alice"}, {ID: 2, Name: "Bob"}, {ID: 1, Name: "Charlie"}}
lo.IsUniqBy(users, func(u User) int { return u.ID })
// false
lo.IsUniqBy(users, func(u User) string { return u.Name })
// true
GroupBy
Returns an object composed of keys generated from the results of running each element of collection through iteratee.
import lo "github.com/samber/lo"
groups := lo.GroupBy([]int{0, 1, 2, 3, 4, 5}, func(i int) int {
return i%3
})
// map[int][]int{0: []int{0, 3}, 1: []int{1, 4}, 2: []int{2, 5}}
// Use GroupByErr when the iteratee function can return an error
result, err := lo.GroupByErr([]int{0, 1, 2, 3, 4, 5}, func(i
samber/lo 是一个 Lodash 风格的 Go 工具库,基于 1.18+ 的泛型构建:提供了几十个辅助函数,用于对切片、映射、字符串、通道和函数进行过滤、映射、分组和归约等操作。