A Go library providing generic utility functions for concurrency, string manipulation, hashing, encoding, and data conversion.
Util is a comprehensive Go library offering a collection of generic utility functions designed to simplify common programming tasks. It provides ready-to-use implementations for operations like parallel execution, string validation, data hashing, and JSON manipulation, helping developers write cleaner and more efficient Go code.
Go developers seeking a modular, focused set of utilities for everyday tasks like string handling, concurrency, data encoding, and conditional logic without pulling in large dependencies.
Developers choose Util for its modular design with independent, prefixed packages (e.g., xstrings, xconcurrency) that minimize dependencies, and its comprehensive coverage of practical utilities not always found in the standard library, like Unicode-aware string operations and parallel execution with timeouts.
A collection of useful utility functions
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Utilities are split into independent prefixed packages (e.g., xstrings, xconcurrency), allowing minimal imports and reduced bloat, as emphasized in the philosophy section.
Functions like xstrings.Length and xstrings.Reverse correctly process Unicode characters and combining marks, demonstrated with examples like 'ab́cde' in the README.
xconcurrency.Parallelize and ParallelizeTimeout abstract concurrency with timeouts using the parallelizer dependency, simplifying common concurrent tasks.
xhashes provides FNV, MD5, SHA1, SHA256, and SHA512 hashes from strings, offering flexibility for various security and performance needs.
Relies on the parallelizer package for concurrency features, adding an extra dependency that may conflict with projects aiming for minimal vendor lock-in.
While covering basics, it lacks advanced utilities like streaming compression, customizable JSON serialization, or robust error chaining, making it insufficient for complex use cases.
The README only provides code examples without detailed API docs, error handling guidelines, or performance benchmarks, which could hinder adoption in production environments.