plyGOData Manipulation in Go, Simplified

Quick Start ​

Install plyGO with a single command:

go get github.com/mansoldof/plyGO

Create your first data pipeline in seconds:

package main

import "github.com/mansoldof/plyGO"

type Person struct {
    Name   string
    Age    int
    Salary float64
}

func main() {
    people := []Person{
        {"Alice", 30, 75000},
        {"Bob", 25, 60000},
        {"Charlie", 35, 90000},
    }

    plygo.From(people).
        Where("Age").GreaterThan(30).
        OrderBy("Salary").Desc().
        Show()
}

Why plyGO? ​

Elegant Data Manipulation ​

plyGO brings the elegance of R's dplyr to Go, making data manipulation intuitive and enjoyable. Chain operations together to build complex data pipelines with minimal code.

// Filter, select, and transform in one pipeline
result := plygo.From(employees).
    Where("Department").Equals("Engineering").
    Select("Name", "Salary").
    OrderBy("Salary").Desc().
    Collect()

Type Safe Operations ​

Unlike reflection-heavy alternatives, plyGO uses Go generics to provide compile-time type safety while maintaining flexibility.

// Type-safe operations with struct inference
filtered := plygo.From(people).
    Where("Age").GreaterThan(25).
    Where("Salary").LessThan(80000).
    Collect()

Built for Go Developers ​

Designed with Go's philosophy in mind: simple, efficient, and reliable. No magic, no surprises, just clean code that works.

Platform Support ​

• Pure Go - Works on all platforms Go supports
• Go 1.18+ required (for generics support)
• Zero external dependencies

What's Next? ​

License ​

MIT License