A functional programming library for Go that introduces streams, collectors, and functional paradigms to improve code readability and reduce bugs.
ƒuego is a functional programming library for Go that introduces functional paradigms like streams, collectors, and higher-order functions to the language. It aims to save development time by promoting code readability and reducing the risk of complex bugs through a functional approach. The library provides types such as Stream, ComparableStream, and MathableStream with operations like Filter, Map, Reduce, GroupBy, and Distinct.
Go developers seeking to incorporate functional programming patterns into their code, particularly those working on data processing pipelines, concurrent stream operations, or projects where code expressiveness and reduced bug risk are priorities.
Developers choose ƒuego for its comprehensive functional toolkit tailored to Go, including type-safe generic operations via Go 1.18's type parameters and built-in concurrency support with order preservation. Its focus on mutable reduction operations through collectors allows for custom, readable stream processing that abstracts implementation details.
Functional Experiment in Golang
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Provides Stream, Collector, and higher-order function types that promote readable, bug-resistant code by focusing on what needs to be done over how, as highlighted in the philosophy.
Leverages Go 1.18's type parameters for generic operations like Filter and Map, ensuring compile-time safety and flexibility across data types, as specified in the features.
Offers methods like ForEachC and CStream for concurrent processing with order preservation, enabling efficient pipelines while adhering to Go's concurrency patterns.
Allows building bespoke collectors for complex mutable reductions, such as GroupingBy and Filtering, giving users control over stream transformations without boilerplate.
The README admits that several operations may be memory intensive or poorly performing, and Go's type parameter issues can lead to performance hits, limiting scalability.
Due to Go's lack of parameterised methods, users must use verbose casting functions like C and CC, resulting in leftward-growing code chains that obscure intent, as explained in known limitations.
Concurrent processing is not supported across all Stream methods, and users must manage distribution manually, making it less seamless for advanced parallel workflows.
Marked as a research project with breaking changes between major versions, it lacks the stability expected for critical production systems, requiring cautious adoption.