Convert TOML to YAML
Max file size 100mb.
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
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| Content Support |
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| Advantages |
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| Disadvantages |
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| 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.