Convert TOML to YAML

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TOML vs YAML Format Comparison

Aspect TOML (Source Format) YAML (Target Format)
Format Overview
TOML
Tom's Obvious Minimal Language

A minimal configuration file format created by Tom Preston-Werner in 2013. Designed to be easy to read with obvious semantics. Maps unambiguously to a hash table and supports typed values including strings, integers, floats, booleans, dates, arrays, and tables.

Configuration Format Formally Specified
YAML
YAML Ain't Markup Language

A human-friendly data serialization language widely used for configuration files and data exchange. Uses indentation-based structure inspired by Python. Supports complex data types, anchors, aliases, and multi-document streams. The dominant format for DevOps, Kubernetes, Docker Compose, and CI/CD pipelines.

Data Serialization DevOps Standard
Technical Specifications
Structure: Key-value pairs with tables and arrays
Encoding: UTF-8 required
Format: Plain text with minimal syntax
Type System: Strings, integers, floats, booleans, dates, arrays, tables
Extensions: .toml
Structure: Indentation-based hierarchy
Encoding: UTF-8, UTF-16, UTF-32
Format: Plain text with whitespace significance
Type System: Strings, numbers, booleans, null, dates, sequences, mappings
Extensions: .yaml, .yml
Syntax Examples

TOML configuration syntax:

[server]
host = "0.0.0.0"
port = 8080

[server.logging]
level = "info"
format = "json"

[[server.routes]]
path = "/api"
handler = "api_handler"

[[server.routes]]
path = "/health"
handler = "health_check"

YAML indentation-based syntax:

server:
  host: "0.0.0.0"
  port: 8080
  logging:
    level: info
    format: json
  routes:
    - path: /api
      handler: api_handler
    - path: /health
      handler: health_check
Content Support
  • String values (basic and literal)
  • Integer and float numbers
  • Boolean values
  • Date and time values (RFC 3339)
  • Arrays (typed)
  • Tables and inline tables
  • Array of tables
  • Comments
  • Scalars (strings, numbers, booleans, null)
  • Sequences (ordered lists)
  • Mappings (key-value dictionaries)
  • Anchors and aliases (references)
  • Multi-line strings (literal and folded)
  • Multiple documents per file
  • Comments
  • Custom tags for types
Advantages
  • Extremely readable syntax
  • Formally specified (TOML v1.0)
  • Strong typing system
  • Native date/time support
  • Unambiguous parsing
  • Growing ecosystem adoption
  • Clean, minimal syntax
  • Dominant in DevOps ecosystem
  • Excellent for complex nested structures
  • Anchors for DRY configuration
  • Multi-document support
  • Superset of JSON
Disadvantages
  • Limited to configuration data
  • Verbose for deeply nested structures
  • Smaller ecosystem than JSON/YAML
  • No schema validation built-in
  • Not suited for document content
  • Whitespace sensitivity (indentation errors)
  • Implicit type coercion issues
  • Complex specification (hard to implement)
  • Security concerns with arbitrary types
  • Ambiguous edge cases ("Norway problem")
Common Uses
  • Rust project configuration (Cargo.toml)
  • Python project metadata (pyproject.toml)
  • Hugo static site configuration
  • Netlify deployment settings
  • Application configuration files
  • Kubernetes manifests
  • Docker Compose files
  • GitHub Actions / GitLab CI
  • Ansible playbooks
  • Helm charts
  • CloudFormation templates
Best For
  • Application configuration
  • Project metadata
  • Build system settings
  • Deployment configuration
  • Container orchestration
  • CI/CD pipeline definitions
  • Infrastructure as code
  • Complex nested configurations
Version History
Introduced: 2013 (Tom Preston-Werner)
Current Version: TOML v1.0.0 (2021)
Status: Stable, formally specified
Evolution: Reached 1.0 stability milestone
Introduced: 2001 (Clark Evans)
Current Version: YAML 1.2.2 (2021)
Status: Stable, actively maintained
Evolution: 1.2 aligned closer to JSON
Software Support
Rust: toml crate (native)
Python: tomllib (stdlib 3.11+), tomli
JavaScript: @iarna/toml, toml-js
Other: Go, Java, C#, Ruby libraries
Python: PyYAML, ruamel.yaml
JavaScript: js-yaml, yaml
Go: gopkg.in/yaml.v3
Other: Ruby, Java (SnakeYAML), C (libyaml)

Why Convert TOML to YAML?

Converting TOML to YAML is one of the most common configuration format conversions in modern software development. While TOML excels at defining project metadata and application settings (Cargo.toml, pyproject.toml), YAML dominates the DevOps and cloud-native ecosystem. Kubernetes manifests, Docker Compose files, GitHub Actions workflows, Ansible playbooks, and Helm charts all use YAML, making this conversion essential for bridging application configuration with deployment infrastructure.

YAML's indentation-based syntax handles deeply nested structures more elegantly than TOML, which can become verbose with repeated table headers for nested data. When converting a TOML configuration with multiple levels of nesting, the resulting YAML is often more compact and visually clearer. YAML's sequence syntax (using dashes for list items) also provides a cleaner representation of arrays compared to TOML's bracket-heavy array notation.

The conversion is particularly valuable in CI/CD workflows where application settings defined in TOML need to be incorporated into deployment pipelines. For example, a Python project's pyproject.toml might define dependencies and build settings that need to be referenced in a GitHub Actions workflow YAML file or a Kubernetes deployment manifest. Converting TOML to YAML enables seamless integration of these different configuration layers.

YAML also offers features not available in TOML, such as anchors and aliases for DRY (Don't Repeat Yourself) configuration, multi-document streams for combining multiple configurations in a single file, and custom type tags. Converting to YAML unlocks these capabilities for teams that want to reference shared values across different parts of their configuration without duplication.

Key Benefits of Converting TOML to YAML:

  • DevOps Integration: Use config data in Kubernetes, Docker, Ansible, and CI/CD
  • Cleaner Nesting: YAML's indentation handles deep structures more elegantly
  • Anchor/Alias Support: Reference shared values without duplication
  • Ecosystem Compatibility: Works with the dominant DevOps configuration format
  • Multi-Document Files: Combine multiple configurations in a single YAML file
  • Kubernetes Ready: Convert app configs into K8s ConfigMaps and manifests
  • Pipeline Integration: Feed config data into GitHub Actions, GitLab CI, etc.

Practical Examples

Example 1: Application Config to Kubernetes ConfigMap

Input TOML file (app.toml):

[app]
name = "user-service"
port = 8080
log_level = "info"

[app.database]
host = "postgres.default.svc"
port = 5432
name = "users"
max_pool = 20

[app.cache]
host = "redis.default.svc"
port = 6379
ttl = 300

Output YAML file (app.yaml):

app:
  name: user-service
  port: 8080
  log_level: info
  database:
    host: postgres.default.svc
    port: 5432
    name: users
    max_pool: 20
  cache:
    host: redis.default.svc
    port: 6379
    ttl: 300

Example 2: Hugo Site Config to YAML

Input TOML file (hugo.toml):

baseURL = "https://myblog.com/"
languageCode = "en-us"
title = "My Tech Blog"
theme = "papermod"

[params]
author = "Jane Developer"
description = "A blog about software engineering"
showReadingTime = true

[params.homeInfoParams]
title = "Welcome"
content = "Articles on Rust, Python, and cloud."

[[menu.main]]
name = "Archive"
url = "/archives/"
weight = 5

[[menu.main]]
name = "Tags"
url = "/tags/"
weight = 10

Output YAML file (hugo.yaml):

baseURL: "https://myblog.com/"
languageCode: en-us
title: My Tech Blog
theme: papermod
params:
  author: Jane Developer
  description: A blog about software engineering
  showReadingTime: true
  homeInfoParams:
    title: Welcome
    content: "Articles on Rust, Python, and cloud."
menu:
  main:
    - name: Archive
      url: /archives/
      weight: 5
    - name: Tags
      url: /tags/
      weight: 10

Example 3: Netlify Config to CI/CD YAML

Input TOML file (netlify.toml):

[build]
command = "npm run build"
publish = "dist"

[build.environment]
NODE_VERSION = "20"
NPM_FLAGS = "--prefix=/dev/null"

[[redirects]]
from = "/api/*"
to = "https://api.example.com/:splat"
status = 200
force = true

[[redirects]]
from = "/*"
to = "/index.html"
status = 200

Output YAML file (netlify.yaml):

build:
  command: npm run build
  publish: dist
  environment:
    NODE_VERSION: "20"
    NPM_FLAGS: "--prefix=/dev/null"
redirects:
  - from: "/api/*"
    to: "https://api.example.com/:splat"
    status: 200
    force: true
  - from: "/*"
    to: /index.html
    status: 200

Frequently Asked Questions (FAQ)

Q: What is YAML?

A: YAML (YAML Ain't Markup Language) is a human-friendly data serialization language created in 2001. It uses indentation to represent hierarchy, making it easy to read and write. YAML is the dominant configuration format in the DevOps ecosystem, used by Kubernetes, Docker Compose, Ansible, GitHub Actions, GitLab CI, and many other tools.

Q: What is the difference between YAML and YML?

A: YAML and YML refer to the same format. The .yaml extension is the official recommendation per the YAML specification, while .yml is a common shorthand widely used in practice. Both extensions are recognized by all YAML parsers and tools. The choice is largely a matter of convention within your project or organization.

Q: How does TOML's type system map to YAML?

A: TOML and YAML share similar type systems. TOML strings become YAML strings, integers and floats map directly, booleans remain booleans, and TOML dates convert to YAML timestamps. TOML arrays become YAML sequences, and TOML tables become YAML mappings. The conversion is generally lossless for standard data types.

Q: Can I use the YAML output for Kubernetes?

A: The raw YAML output from TOML conversion contains the data in YAML format, but Kubernetes manifests require specific structure (apiVersion, kind, metadata, spec). You can use the converted YAML data within a ConfigMap or as part of a larger Kubernetes manifest that wraps the configuration data appropriately.

Q: Will YAML preserve TOML's strict typing?

A: YAML supports similar types but with some differences. TOML's strict typing (e.g., distinguishing integers from floats) is preserved in YAML. However, YAML's implicit type coercion can sometimes interpret values unexpectedly (e.g., "yes" becomes boolean true). The converter uses quoting where needed to prevent unintended type changes.

Q: How are TOML inline tables represented in YAML?

A: TOML inline tables (e.g., {key = "value"}) can be represented in YAML as either flow mappings ({key: value}) or as standard indented mappings. The converter typically uses the indented block style for readability, which is the preferred style in most YAML-based tools.

Q: What about TOML features that YAML doesn't have?

A: TOML's features are largely a subset of what YAML can represent, so the conversion is typically complete. TOML's specific multiline string handling (basic vs. literal) has equivalents in YAML (folded vs. literal block scalars). TOML comments are preserved as YAML comments since both formats support the # comment syntax.

Q: Can I convert Hugo TOML config to YAML?

A: Yes! Hugo supports both TOML and YAML for site configuration. Converting your Hugo config.toml to config.yaml (or hugo.yaml) is a common migration. Hugo will automatically detect the format based on the file extension, so simply replacing the TOML config with the converted YAML file will work seamlessly.