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JSON vs TOML: Configuration Format Comparison

Compare JSON and TOML formats for configuration files. Learn key differences, conversion methods, and when to use each format for your projects.

Big JSON Team7 min readcomparison
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Big JSON Team

Technical Writer

Expert in JSON data manipulation, API development, and web technologies. Passionate about creating tools that make developers' lives easier.

7 min read

JSON vs TOML Overview

JSON and TOML are both popular data formats, but TOML (Tom's Obvious Minimal Language) was specifically designed for configuration files with a focus on human readability.

Quick Comparison

| Feature | JSON | TOML |

|---------|------|------|

| Syntax | Curly braces | INI-like |

| Comments | No | Yes |

| Readability | Good | Excellent |

| File Extension | .json | .toml |

| Parsing Speed | Faster | Moderate |

| Adoption | Universal | Growing |

Syntax Examples

JSON Configuration

{

"database": {

"server": "192.168.1.1",

"ports": [8001, 8002, 8003],

"connection_max": 5000,

"enabled": true

},

"servers": {

"alpha": {

"ip": "10.0.0.1",

"dc": "eqdc10"

},

"beta": {

"ip": "10.0.0.2",

"dc": "eqdc10"

}

}

}

TOML Configuration

# Database configuration

[database]

server = "192.168.1.1"

ports = [8001, 8002, 8003]

connection_max = 5000

enabled = true

# Server configurations

[servers.alpha]

ip = "10.0.0.1"

dc = "eqdc10"

[servers.beta]

ip = "10.0.0.2"

dc = "eqdc10"

Key Differences

Comments

JSON: No native comment support
{

"_comment": "Using workaround for comments",

"setting": "value"

}

TOML: Full comment support
# This is a proper comment

setting = "value" # Inline comment also works

Readability

TOML eliminates visual clutter:

  • No curly braces or quotes for keys
  • Clear section headers
  • Natural table syntax
  • Better for nested structures

Data Types

Both support:

  • Strings, integers, floats, booleans
  • Arrays
  • Nested structures

TOML additions:

  • Dates and times (native)
  • Inline tables

# TOML native date-time

created = 2026-02-14T10:30:00Z

# Inline table

point = { x = 1, y = 2 }

When to Use JSON

  • Web APIs - Industry standard
  • Data interchange - Universal support
  • JavaScript - Native parsing
  • Performance - Faster parsing
  • Tooling - More validators and formatters
  • When to Use TOML

  • Configuration files - More readable
  • Rust projects - Cargo.toml standard
  • Python packaging - pyproject.toml
  • Human editing - Easier to maintain
  • Comments needed - Documentation in config
  • Conversion Examples

    TOML to JSON (Python)

    import json
    

    import tomli # Python 3.11+ has tomllib built-in

    with open('config.toml', 'rb') as f:

    data = tomli.load(f)

    with open('config.json', 'w') as f:

    json.dump(data, f, indent=2)

    JSON to TOML (Python)

    import json
    

    import tomli_w

    with open('config.json') as f:

    data = json.load(f)

    with open('config.toml', 'wb') as f:

    tomli_w.dump(data, f)

    Common Use Cases

    JSON Strengths

    {
    

    "api_response": {

    "status": 200,

    "data": [

    {"id": 1, "name": "Item 1"},

    {"id": 2, "name": "Item 2"}

    ]

    }

    }

    TOML Strengths

    # Application configuration
    

    [app]

    name = "MyApp"

    version = "1.0.0"

    debug = false

    [app.database]

    url = "postgresql://localhost/mydb"

    pool_size = 10

    [app.logging]

    level = "info"

    file = "/var/log/myapp.log"

    Common Pitfalls

    TOML Tables Order

    # Wrong - can't add to [fruit] after array
    

    [fruit]

    name = "apple"

    [[fruit.varieties]] # Array of tables

    name = "red"

    [fruit] # Error! Already defined

    color = "red"

    # Correct - define all table keys first

    [fruit]

    name = "apple"

    color = "red"

    [[fruit.varieties]]

    name = "red"

    TOML String Escaping

    # Basic strings (escapes processed)
    

    path = "C:\\Users\\name"

    # Literal strings (raw)

    regex = '<\i\c\s>'

    # Multi-line strings

    description = """

    Line 1

    Line 2

    Line 3"""

    Decision Guide

    Choose JSON when:
    • Building web APIs
    • Need maximum compatibility
    • Performance is critical
    • Working with JavaScript/browsers
    • Generating data programmatically

    Choose TOML when:
    • Writing configuration files
    • Human readability is priority
    • Comments are essential
    • Working with Rust or Python projects
    • Config needs version control review

    JSON Tools

    • jq (command-line processor)
    • Every programming language
    • Online formatters everywhere

    TOML Tools

    • tomli/tomllib (Python)
    • toml crate (Rust)
    • TOML Language Support (VS Code)
    • Online TOML validators

    Ecosystem Adoption

    JSON: Universal (1999+)
    • All web browsers
    • Every major language
    • REST API standard

    TOML: Growing (2013+)
    • Rust: Cargo.toml
    • Python: pyproject.toml
    • Hugo static site generator
    • Many CLI tools

    Conclusion

    JSON dominates data interchange and APIs, while TOML excels at configuration files. Many modern projects use both: JSON for runtime data and TOML for human-editable config. Choose based on your use case—if humans will frequently edit it, TOML's readability wins; if machines generate it, JSON's universality is unbeatable.

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