Kostenloser Online JSON Formatter & Beautifier

# No installation required
import json

raw_json = '{"name":"Alice","age":30,"skills":["Python","SQL"]}'
parsed = json.loads(raw_json)

formatted_json = json.dumps(parsed, indent=4, sort_keys=True)
print(formatted_json)

# Installation: pip install pandas
import pandas as pd
import json

raw_json = '{"users":[{"id":1,"name":"Alice"},{"id":2,"name":"Bob"}]}'
data = json.loads(raw_json)

df = pd.json_normalize(data['users'])
print(df)

# Requires jq installed on system
import subprocess

raw_json = '{"z":1,"a":2}'
process = subprocess.run(['jq', '.'], input=raw_json, text=True, capture_output=True)
print(process.stdout)

// No installation required
const rawJson = '{"name":"Alice","age":30}';
const parsed = JSON.parse(rawJson);

const formattedJson = JSON.stringify(parsed, null, 2);
console.log(formattedJson);

// Required dependency: jackson-databind
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.ObjectWriter;

String rawJson = "{\"name\":\"Alice\",\"age\":30}";
ObjectMapper mapper = new ObjectMapper();
Object jsonObj = mapper.readValue(rawJson, Object.class);

ObjectWriter writer = mapper.writerWithDefaultPrettyPrinter();
String formattedJson = writer.writeValueAsString(jsonObj);
System.out.println(formattedJson);