YAML vs TOML — Which Config Format Should You Use?
YAML and TOML are both human-readable config formats, but they have different strengths. YAML is more flexible and widely used; TOML is simpler and less error-prone. Here's...
YAML and TOML both aim to be human-readable configuration formats. YAML is more expressive and widely supported; TOML is simpler, more explicit, and harder to get wrong. The choice often comes down to your tooling and how complex your config is.
Use the YAML to JSON Converter to validate and convert YAML configurations.
TOML vs YAML: a direct comparison
The same configuration in both formats:
TOML:
[database]
host = "localhost"
port = 5432
name = "myapp"
[database.pool]
min = 5
max = 20
timeout = 30
[[servers]]
host = "10.0.0.1"
role = "primary"
[[servers]]
host = "10.0.0.2"
role = "replica"
YAML equivalent:
database:
host: localhost
port: 5432
name: myapp
pool:
min: 5
max: 20
timeout: 30
servers:
- host: 10.0.0.1
role: primary
- host: 10.0.0.2
role: replica
Both parse to the same data structure. The differences show in the syntax choices.
TOML strengths
Explicit types
TOML has explicit type syntax — there’s no ambiguity:
string = "hello"
integer = 42
float = 3.14
boolean = true
date = 2026-05-11T10:00:00Z
array = [1, 2, 3]
Compare to YAML, where yes, true, on all parse as booleans in YAML 1.1:
# YAML 1.1 implicit boolean:
active: yes # true
enabled: true # true
on: on # true!
# This bit people:
country: NO # Parsed as false in YAML 1.1 (Norway!)
TOML never has this problem.
Clear table (object) syntax
TOML sections are unambiguous:
[server]
host = "localhost"
port = 8080
[server.tls]
enabled = true
cert = "/etc/ssl/cert.pem"
No indentation sensitivity — you can’t accidentally un-nest a section by wrong indentation.
Array of tables
[[routes]]
path = "/home"
handler = "homeHandler"
[[routes]]
path = "/api/users"
handler = "usersHandler"
methods = ["GET", "POST"]
Each [[routes]] entry appends to the array — clear and explicit.
YAML strengths
Anchors and aliases
YAML can reuse values; TOML has no equivalent:
defaults: &defaults
timeout: 30
retries: 3
service_a:
<<: *defaults
host: "service-a.internal"
service_b:
<<: *defaults
host: "service-b.internal"
timeout: 60 # override
Multiline strings
YAML handles multiline content cleanly:
description: |
This service handles user authentication
and session management.
script: |
#!/bin/bash
set -e
npm install
npm test
TOML multiline strings exist but are less elegant:
script = """
#!/bin/bash
set -e
npm install
npm test
"""
Industry adoption
YAML is the dominant format in:
- Kubernetes (
kind: Deployment, etc.) - Docker Compose (
docker-compose.yml) - GitHub Actions (
.github/workflows/) - Ansible playbooks
- Helm charts
- OpenAPI specifications
If your tooling expects YAML, you don’t have a choice.
TOML adoption
TOML is dominant in:
- Rust:
Cargo.toml(package manifest) - Python:
pyproject.toml(PEP 517/518 packaging) - Hugo:
config.toml(static site generator) - Gitea/Forgejo:
app.ini-like configs - TOML-enabled apps: many modern CLI tools
Syntax comparison
| Feature | YAML | TOML |
|---|---|---|
| Strings | key: value or key: "value" | key = "value" (always quoted) |
| Nested objects | Indentation | [section.subsection] |
| Arrays | - item or [item] | [item] |
| Multiline | ` | or>` block scalars |
| Anchors/aliases | Yes (&, *) | No |
| Comments | # comment | # comment |
| Ambiguous values | Yes (many!) | No (explicit types) |
| Spec version issues | YAML 1.1 vs 1.2 | One spec, clear |
Common YAML footguns (TOML avoids)
# These are all valid YAML and may surprise you:
port: 8080 # integer
host: localhost # string
debug: yes # boolean true (YAML 1.1)
version: 1.0 # float (not string "1.0"!)
date: 2026-05 # date-like string OR date?
# Norway problem:
country: NO # boolean false in YAML 1.1!
# Octal numbers in YAML 1.1:
mode: 0755 # parsed as octal integer 493!
TOML requires explicit quoting for strings — you can’t accidentally get a type wrong.
When to choose YAML
- Your tooling requires YAML (Kubernetes, GitHub Actions, Docker Compose)
- You need anchors/aliases for DRY configs
- Your team is already comfortable with YAML
- You have complex nested structures with many levels
When to choose TOML
- You’re writing a Rust or Python project (Cargo.toml, pyproject.toml)
- You want to avoid YAML’s type ambiguity
- Your config is relatively flat
- You want a simpler, easier to explain format
- You’re building a new tool and choosing a config format from scratch
Related tools
- YAML to JSON Converter — validate and convert YAML
- YAML Syntax Guide — complete YAML reference
- YAML vs JSON — another format comparison
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Related tool
Convert between YAML and JSON formats with full fidelity.
Written by Mian Ali Khalid. Part of the Data & Format pillar.