How do I handle errors with fp-go's Either type?

Use Either to represent success (Right) or failure (Left) values, and process them with methods like Match or GetOrElse. This provides a functional alternative to Go's error returns, but requires adapting your code to monadic patterns, which might be unfamiliar.

fp-go vs lo: which is better for functional programming in Go?

fp-go focuses on pure functional patterns with currying and monadic types, inspired by fp-ts, while lo is more pragmatic with utility functions. Choose fp-go for a more idiomatic FP approach with generics, but lo might be lighter if you just need collection helpers without the FP overhead.

How to chain multiple data transformations using Pipe in fp-go?

Use the Pipe function to compose functions left-to-right, with variants supporting up to 16 functions. For example, Pipe2(fp.Filter(isPositive), fp.Map(sumTwo)) applies filter then map sequentially, enabling clean, declarative code chains as shown in the README.

Is fp-go production-ready for large codebases?

fp-go has good test coverage and is inspired by established libraries, but as a newer project, it might have less battle-tested usage in production. Check GitHub issues and community activity before adopting it for critical systems to ensure stability.

What's the performance impact of using fp-go?

fp-go adds abstraction layers that can slightly slow performance due to extra function calls and allocations. In high-performance scenarios, benchmark against imperative loops to see if the trade-off in expressiveness is acceptable for your needs.

How to install fp-go with Go modules?

Since it requires Go 1.18+, install it using 'go get github.com/repeale/fp-go'. Ensure your go.mod file specifies Go 1.18 or higher, and it will be managed as a standard dependency, with no complex setup beyond version compatibility.

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fp-go

MITGov0.11.1

A collection of functional programming helpers for Go, leveraging generics to provide common utilities like map, filter, reduce, and monadic types.

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What is fp-go?

fp-go is a functional programming library for Go that provides a collection of utilities like map, filter, reduce, and monadic types such as Option and Either. It leverages Go 1.18+ generics to offer type-safe operations, enabling developers to write more declarative and composable code in a language traditionally focused on imperative styles.

Target Audience

Go developers interested in functional programming patterns, those looking to write more declarative and composable code, and teams adopting generics for type-safe abstractions.

Value Proposition

It offers a pragmatic, idiomatic way to use functional programming in Go with automatic currying, flexible callback variations, and monadic types, reducing boilerplate and improving code expressiveness compared to manual implementations.

Overview

fp-go is a collection of Functional Programming helpers powered by Golang 1.18+ generics.

Use Cases

Best For

Writing declarative data transformations on slices in Go
Implementing functional patterns like currying and composition in Go projects
Handling optional values and errors with Option and Either types
Adopting functional programming idioms in a Go codebase
Reducing boilerplate in collection operations with type-safe generics
Chaining multiple operations cleanly using Pipe and Compose

Not Ideal For

Projects requiring compatibility with Go versions prior to 1.18, as fp-go depends on generics
Teams that prioritize minimal abstraction and prefer Go's native imperative loops for performance-critical code
Developers deeply invested in Go's standard error handling who would find monadic types like Either redundant or disruptive

Pros & Cons

Pros

Automatic Currying

Functions are curried by default with data-last parameters, enabling partial application and composition without extra setup, as shown in the Filter example where filterPositive is created by currying.

Flexible Callback Variations

Offers default, WithIndex, and WithSlice variants for helpers like Map and Filter, providing access to index and full slice when needed, which enhances adaptability for complex operations.

Type-Safe Generics

Leverages Go 1.18+ generics to ensure compile-time type safety in operations like Map and Reduce, reducing runtime errors compared to older interface-based approaches.

Monadic Error Handling

Implements Option and Either types for handling optional values and errors functionally, offering a declarative alternative to Go's traditional error patterns with methods like Match and GetOrElse.

Cons

Generics Dependency

Requires Go 1.18+ generics, making it incompatible with older Go versions or projects stuck in legacy environments, which limits adoption in certain codebases.

Performance Overhead

The functional abstractions, such as currying and monadic wrappers, can introduce additional function calls and allocations, potentially slowing down performance-critical loops compared to direct imperative code.

Limited Advanced Features

Compared to comprehensive FP libraries in other languages, it lacks advanced constructs like functors, applicatives, or monad transformers, which might be necessary for complex functional programming scenarios.

Frequently Asked Questions

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