gogu
A concurrent-safe Go generics utility library providing comprehensive functions and data structures for slices, maps, and strings.
What is gogu?
Gogu is a versatile utility library for Go that leverages generics to offer a wide range of concurrent-safe functions and data structures. It simplifies common programming tasks by providing efficient operations for slices, maps, and strings, inspired by established frameworks like lodash and Apache Commons.
Go developers who need a comprehensive, concurrent-safe utility library for everyday tasks involving collections, strings, and data structures, especially those transitioning from languages with rich utility ecosystems.
Developers choose Gogu for its combination of Go generics, concurrent safety for most operations, and extensive coverage of utility functions and data structures, offering a functional programming style while maintaining idiomatic Go performance and simplicity.
Overview
A comprehensive, reusable and efficient concurrent-safe generics utility functions and data structures library.
Use Cases
Best For
- Implementing functional programming patterns like map, filter, and reduce on slices and maps in Go.
- Managing asynchronous operations with utilities like debounce, memoize, retry, and delay.
- Performing complex string manipulations such as case conversion, padding, wrapping, and substring extraction.
- Working with common data structures like binary search trees, B-trees, caches, heaps, linked lists, queues, stacks, and tries in a generic, type-safe manner.
- Handling collection operations such as chunking, flattening, grouping, union, intersection, and difference on slices and maps.
- Caching expensive function results with memoization to improve application performance.
Not Ideal For
- Projects requiring concurrent-safe B-tree operations, as Gogu's B-tree package explicitly lacks concurrency support.
- Teams already using established Go utility libraries like samber/lo or go-funk, where switching adds migration overhead without clear advantages.
- Applications with minimal utility needs or strict binary size constraints, where Gogu's comprehensive functionality could introduce unnecessary bloat.
- Scenarios needing niche or advanced algorithms beyond common data structures, such as graph processing or machine learning utilities.
Pros & Cons
Pros
Gogu offers an extensive range of utility functions for slices, maps, and strings, including operations like Filter, Map, Reduce, and string manipulations such as CamelCase and Pad, as detailed in the README's function lists.
Most operations are designed to be concurrent-safe, a key feature highlighted in the README, making it suitable for multi-threaded Go applications without extra synchronization efforts.
Leverages Go generics to provide type-safe operations, evident in functions like Map[T1, T2 any], which reduces runtime errors and improves code clarity for modern Go development.
Maintains 93.8% test coverage, as shown by the coverage badge, ensuring reliability and stability for production use with thorough documentation and examples.
Cons
The B-tree package is not concurrent-safe, which is a significant limitation for a library emphasizing concurrency, as admitted in the README, potentially requiring custom synchronization in concurrent environments.
With over 100 functions across multiple categories, the learning curve can be steep, and developers may find it challenging to navigate or select appropriate functions efficiently.
Being a general-purpose library, some generic implementations might introduce overhead compared to hand-optimized, specific code, especially for performance-critical applications where fine-tuning is essential.
Frequently Asked Questions
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