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MIT 1 2 608
58.1 thousand (month) Feb 09 2017 per(8 months ago)
368 2 116 MIT
1.8.8(9 months ago) Dec 03 2013 1.0 million (month)

mxj is a Go library for working with JSON and XML data. It allows you to convert between JSON and XML, merge JSON and XML documents, and extract values from JSON and XML using a simple and intuitive API.

One of the main features of mxj is its ability to work with JSON and XML data in a struct-like manner, allowing you to access values using dot notation.

A reasonably fast JSON parser and generator, optimized for statistical data and the web. Offers simple, flexible tools for working with JSON in R, and is particularly powerful for building pipelines and interacting with a web API.

In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.

Example Use

package main

import (


func main() {
  // Parse the JSON string
  jsonData := []byte(`
      "name": "John Doe",
      "age": 30,
      "address": {
        "street": "Main St",
        "city": "Anytown",
        "state": "CA",
        "zip": "12345"
      "phones": [
  mv, err := mxj.NewMapJson(jsonData)
  if err != nil {
    fmt.Println("Error:", err)

  // Extract the name
  name, _ := mv.ValueForPath("name")
  fmt.Println("name:", name)  // "John Doe"

  // Extract the city
  city, _ := mv.ValueForPath("")
  fmt.Println("city:", city)  // "Anytown"

  // Extract all phone numbers
  phones, _ := mv.ValuesForPath("phones")
  for _, phone := range phones {
    fmt.Println("phone:", phone)
  // "555-555-5555"
  // "555-555-5556"

json <- '["Mario", "Peach", null, "Bowser"]'

# load json to dataframe/array/matrix (determined automatically)

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