TOML ↔ YAML Converter

Live bidirectional conversion between TOML and YAML.

TOML
YAML

TOML vs YAML — The Bottom Line

Use TOML when you want explicit, unambiguous configuration with native date types and clear section structure — perfect for Cargo.toml, pyproject.toml, and Rust/Python tooling. Use YAML when working in ecosystems that have standardized on it (Kubernetes, Docker Compose, GitHub Actions, Ansible) or when you need anchors/aliases for config reuse.

Side-by-Side Example

TOML

toml
[server]
host = "localhost"
port = 8080
debug = true

[database]
url = "postgresql://localhost/mydb"
max_connections = 10

[[worker]]
name = "default"
concurrency = 4

[[worker]]
name = "email"
concurrency = 2

YAML

yaml
server:
  host: localhost
  port: 8080
  debug: true

database:
  url: postgresql://localhost/mydb
  max_connections: 10

worker:
  - name: default
    concurrency: 4
  - name: email
    concurrency: 2

Detailed Comparison

FeatureTOMLYAML
Syntax styleINI-like sections, explicit typesIndentation-based, minimal punctuation
Comments# line comments# line comments
Multi-line strings"""triple quoted"""| (literal) or > (folded) blocks
DatesNative ISO 8601 typeString (with type coercion in v1.1)
ArraysMixed syntax: [] and [[table]]- list items or [inline]
AmbiguityVery low — explicit and unambiguousCan be tricky (NO, yes, 0755 gotchas)
Spec complexitySimple (TOML v1.0 is ~3500 words)Complex (YAML v1.2 is ~100+ pages)
Anchors / aliasesNot supportedYes — &anchor and *alias
SchemaNo official schema languageLimited (YAML Schema, Ajv-based)
Human writabilityEasy for structured dataExcellent for simple configs
Ecosystem — RustNative (Cargo.toml)Rare
Ecosystem — PythonStandard (pyproject.toml)Django, Ansible, some CI
Ecosystem — DevOpsHugo, DenoKubernetes, Docker, GitHub Actions

TOML Type System

TOML has a rich, explicit type system with native support for dates and times:

toml
# Strings
name = "John Doe"
multiline = """
Line one
Line two
"""

# Numbers
port = 8080
pi = 3.14159
hex = 0xDEADBEEF

# Booleans (always lowercase)
debug = true
verbose = false

# Dates (ISO 8601 native type)
created = 1979-05-27T07:32:00Z
birthday = 1979-05-27

# Arrays
tags = ["rust", "toml", "config"]

# Inline tables
point = { x = 1, y = 2 }

YAML Gotchas to Watch Out For

yaml
# YAML 1.1 gotchas (older parsers)
country: NO       # "NO" is a boolean false!
mode: 0755        # parsed as octal 493, not 755
on: true          # "on" is a boolean true
yes: true         # "yes" is also boolean

# Fix: use quotes
country: "NO"
mode: "0755"

# YAML indentation is meaningful
key:
  nested: value   # child of key
  another: value  # also child of key

# Anchors and aliases (TOML has no equivalent)
defaults: &defaults
  timeout: 30
  retries: 3

production:
  <<: *defaults   # merge defaults
  timeout: 60     # override

Most of the YAML gotchas come from YAML 1.1 parsers (used in older tools). YAML 1.2 (supported by newer tools like yq, PyYAML 6+) is much more strict and eliminates most of these edge cases.

When to Use TOML

  • Rust projects — Cargo.toml is the standard; the entire Rust ecosystem uses TOML
  • Python packaging — pyproject.toml (PEP 517/518/621) is the modern Python standard
  • Hugo static sites — config.toml is Hugo's primary configuration format
  • Simple, explicit configs — when you want no surprises and unambiguous parsing
  • Date-heavy configs — TOML has native date/time types; YAML treats them as strings

When to Use YAML

  • Kubernetes manifests — deployment.yaml, service.yaml, ingress.yaml — the entire K8s ecosystem uses YAML
  • Docker Compose — docker-compose.yml is the standard format
  • GitHub Actions / GitLab CI — .github/workflows/*.yml and .gitlab-ci.yml
  • Ansible playbooks — YAML is central to Ansible's DSL
  • Config reuse with anchors — when you need to DRY up config with &anchors and *aliases

Frequently Asked Questions

Kubernetes natively uses YAML and JSON. You can use TOML for your own application's config files within a container, but Kubernetes manifests (Deployments, Services, etc.) must be YAML or JSON.

TOML has good library support in all major languages: Rust (toml crate), Python (tomllib in stdlib 3.11+, tomli), Go (BurntSushi/toml, pelletier/go-toml), JavaScript (smol-toml, @iarna/toml), Ruby (toml-rb), and more.

TOML does not have an official schema language like JSON Schema. However, individual tools (Cargo, Poetry, etc.) validate their TOML files using embedded validation logic. Third-party projects like taplo provide TOML schema validation.

Yes — the easiest path is to convert TOML to JSON first (using a TOML parser) and then JSON to YAML. JSONKit's TOML to JSON and JSON to YAML converters can help with this.

The Python packaging working group chose TOML for pyproject.toml (PEP 518) because TOML is simpler, more explicit, and more portable than YAML. YAML's complex specification and subtle gotchas (the Norway problem, etc.) were cited as reasons to avoid it for a core packaging format.

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