Lo is a functional utility library for Go that provides a collection of tools for manipulating slices and maps. By leveraging language-level generics, the library enables developers to perform data transformations and collection operations while maintaining strict type safety and reducing boilerplate code.
The library distinguishes itself by offering specialized patterns for high-performance data handling. It includes utilities for in-place collection modification to minimize memory allocation overhead, as well as lazy iterator evaluation to process large or infinite data sequences incrementally. These features allow for memory-efficient traversal and deferred computation of complex datasets.
Beyond basic transformations, the library supports concurrent task execution through a worker-pool model. This allows for the distribution of computational workloads across multiple CPU cores to increase throughput during data processing. The project is distributed as a modular toolkit designed to integrate directly into Go applications.
