golang-samber-lo

Type-safe functional helpers like Map, Filter, and Reduce eliminate repetitive boilerplate for data transforms in Go by enabling declarative pipeline operations across slices and maps without writing custom loops.

Building a functional data pipeline in Go is best done with composable helpers for Map, Filter, GroupBy, and Chunk, allowing you to chain typed transformations declaratively rather than managing explicit iteration state.

Yes, functional transforms with samber/lo require Go 1.18 or later to leverage generics for type-safe data processing, while lazy iterator subpackages like loi require Go 1.23+ for pipeline operations.

Yes, the optional lop subpackage provides parallel processing for CPU-bound Go transforms in samber/lo, enabling concurrent execution across collections when sequential functional operations become a bottleneck.

Use immutable helpers for safer declarative transforms that avoid side effects, and switch to the mutable lom subpackage when you need in-place mutations to optimize memory allocation during data processing.

High memory usage in Go data pipelines often comes from allocating intermediate slices during transforms; using lazy iterators from the loi subpackage for Go 1.23+ can process elements on-demand to reduce allocation overhead.