Convert YML to TSV
Max file size 100mb.
YML vs TSV Format Comparison
| Aspect | YML (Source Format) | TSV (Target Format) |
|---|---|---|
| Format Overview |
YML
YAML Short Extension
Short file extension variant for YAML (YAML Ain't Markup Language), widely used in Docker Compose, CI/CD pipelines, and framework configuration files. Uses indentation-based structure with minimal punctuation for key-value pairs, lists, and nested mappings. Follows the YAML 1.2 specification and is a strict superset of JSON. Data Format DevOps Standard |
TSV
Tab-Separated Values
Plain text tabular data format that uses tab characters as column delimiters and newlines as row separators. TSV is a simpler alternative to CSV that avoids quoting issues since tab characters rarely appear in data fields. Widely used for data exchange between databases, spreadsheets, and statistical analysis tools. Tabular Data Data Exchange |
| Technical Specifications |
Standard: YAML 1.2
Encoding: UTF-8 Format: Indentation-based, minimal punctuation Data Types: Strings, numbers, booleans, null, sequences, mappings Extension: .yml |
Standard: IANA text/tab-separated-values
Encoding: UTF-8 (commonly), ASCII Format: Tab-delimited columns, newline-delimited rows Features: Header row, flat tabular structure, no quoting required Extension: .tsv |
| Syntax Examples |
YML uses indentation for structure: name: My Project
version: "2.0"
services:
web:
image: nginx
ports:
- "80:80"
features:
- logging
- cache
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TSV uses tabs to separate columns: Key Value Parent name My Project root version 2.0 root image nginx services.web ports 80:80 services.web features logging root features cache root |
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| Version History |
Created: 2001 by Clark Evans
YAML 1.0: 2004 (first formal spec) YAML 1.1: 2005 (widely implemented) YAML 1.2: 2009 (JSON superset, current) .yml: Common shorthand extension |
Origin: Derived from early Unix text processing
IANA Registration: text/tab-separated-values (1993) Status: Active, widely used in data science Evolution: Predates CSV standardization (RFC 4180) |
| Software Support |
Python: PyYAML, ruamel.yaml
JavaScript: js-yaml Ruby: Psych (built-in) Go: gopkg.in/yaml.v3 |
Spreadsheets: Excel, Google Sheets, LibreOffice Calc
Python: pandas (read_csv with sep='\t'), csv module R: read.delim(), readr::read_tsv() Databases: MySQL LOAD DATA, PostgreSQL COPY, SQLite .import |
Why Convert YML to TSV?
Converting YML files to TSV format transforms hierarchical DevOps configuration data into flat tabular structures that can be directly imported into spreadsheets, databases, and data analysis tools. YML is the standard extension for Docker Compose files, CI/CD pipelines, and Ansible playbooks, but when you need to analyze, filter, or aggregate that configuration data in Excel or a database, TSV provides the ideal intermediate format.
This conversion is particularly valuable for infrastructure teams that need to audit configurations across multiple services. For example, converting a docker-compose.yml into TSV lets you import service definitions into a spreadsheet where you can sort by image name, filter by port mapping, or create pivot tables summarizing resource allocations. Similarly, converting Ansible inventory YML files to TSV enables bulk analysis of host configurations.
Our converter intelligently flattens YML hierarchies into tabular rows: each key-value pair becomes a row with columns for the key path, value, and parent context. Nested mappings are represented using dot-notation paths (e.g., services.web.image), and sequences are expanded into individual rows. This approach preserves the full data context while making it accessible in a two-dimensional tabular format.
TSV is preferred over CSV for this conversion because tab characters almost never appear in YML configuration values, eliminating the need for quoting and escaping that CSV requires. The result is a cleaner, more predictable output that imports flawlessly into any spreadsheet or database system.
Key Benefits of Converting YML to TSV:
- Spreadsheet Import: Directly open in Excel, Google Sheets, or LibreOffice Calc with automatic column detection
- Database Loading: Use MySQL LOAD DATA, PostgreSQL COPY, or SQLite .import to bulk-load configuration data
- Data Analysis: Analyze configurations with pandas, R, or other statistical tools
- Configuration Auditing: Sort, filter, and pivot configuration values across multiple services
- No Quoting Issues: TSV avoids the CSV quoting/escaping complexity since tabs rarely appear in config values
- Bulk Comparison: Compare configurations side-by-side in spreadsheet format
- Report Generation: Create summary reports from configuration data using spreadsheet formulas
Practical Examples
Example 1: Docker Compose Service
Input YML file (docker-compose.yml):
version: "3.8"
services:
web:
image: nginx:latest
ports:
- "80:80"
- "443:443"
volumes:
- ./html:/usr/share/nginx/html
restart: always
Output TSV file:
Key Value Path Type version 3.8 root scalar image nginx:latest services.web scalar ports[0] 80:80 services.web sequence ports[1] 443:443 services.web sequence volumes[0] ./html:/usr/share/nginx/html services.web sequence restart always services.web scalar
Example 2: CI/CD Pipeline Configuration
Input YML file (.gitlab-ci.yml):
stages:
- build
- test
- deploy
build_job:
stage: build
script:
- npm install
- npm run build
artifacts:
paths:
- dist/
Output TSV file:
Key Value Path Type stages[0] build root sequence stages[1] test root sequence stages[2] deploy root sequence stage build build_job scalar script[0] npm install build_job sequence script[1] npm run build build_job sequence paths[0] dist/ build_job.artifacts sequence
Example 3: Ansible Inventory
Input YML file (inventory.yml):
all:
hosts:
web1:
ansible_host: 192.168.1.10
ansible_user: deploy
web2:
ansible_host: 192.168.1.11
ansible_user: deploy
db1:
ansible_host: 192.168.1.20
ansible_user: admin
Output TSV file:
Key Value Path Type ansible_host 192.168.1.10 all.hosts.web1 scalar ansible_user deploy all.hosts.web1 scalar ansible_host 192.168.1.11 all.hosts.web2 scalar ansible_user deploy all.hosts.web2 scalar ansible_host 192.168.1.20 all.hosts.db1 scalar ansible_user admin all.hosts.db1 scalar
Frequently Asked Questions (FAQ)
Q: What is YML format?
A: YML is the short file extension for YAML (YAML Ain't Markup Language), a human-readable data serialization standard following the YAML 1.2 specification. It is the dominant extension for Docker Compose files (docker-compose.yml), CI/CD configurations (.travis.yml, .gitlab-ci.yml), Rails configuration (database.yml), Ansible playbooks, and Helm charts. YML uses indentation-based structure with key-value pairs, sequences, and nested mappings.
Q: What is TSV format?
A: TSV (Tab-Separated Values) is a plain text tabular data format where columns are separated by tab characters and rows are separated by newlines. Registered with IANA as text/tab-separated-values, TSV is widely used in bioinformatics, database operations, and data analysis. Unlike CSV, TSV avoids quoting ambiguity because tab characters rarely appear within data fields, making it a cleaner and more predictable format for data exchange.
Q: How is hierarchical YML data flattened into TSV rows?
A: The converter flattens nested YML structures using dot-notation paths. For example, a value at services.web.image in YML becomes a row with the key "image", value "nginx:latest", and path "services.web". Sequences are expanded into individual rows with array index notation (e.g., ports[0], ports[1]). This preserves the full context of each value while fitting it into a two-dimensional table.
Q: Can I import the TSV output directly into Excel or Google Sheets?
A: Yes. TSV files are natively supported by Microsoft Excel, Google Sheets, and LibreOffice Calc. Simply open the .tsv file and the columns will be automatically detected using tab delimiters. No import wizard or delimiter configuration is needed in most cases.
Q: Why use TSV instead of CSV for YML conversion?
A: TSV is preferred for YML conversion because YML configuration values frequently contain commas (e.g., port mappings "80:80", environment lists) which would require quoting and escaping in CSV format. Tab characters almost never appear in configuration values, so TSV produces cleaner output without quoting complications.
Q: What happens to YAML anchors and aliases in the YML file?
A: YAML anchors (&) and aliases (*) are fully resolved during parsing. The TSV output contains the expanded values, so inherited configurations (like database.yml using &default and *default) will show all values explicitly in the tabular output.
Q: Are YML comments preserved in the TSV output?
A: YML comments (lines starting with #) are preserved as separate rows in the TSV output with a "comment" type marker. This ensures important documentation within your configuration files is not lost during the conversion to tabular format.
Q: What happens if my YML file has syntax errors?
A: If the YML file contains syntax errors such as incorrect indentation or invalid characters, the converter will treat the content as plain text and output each line as a single-column TSV row. You will still receive a valid TSV file, though the structured column mapping will not be applied.
Q: Is there a file size limit?
A: Our converter handles YML files of any reasonable size. Complex configurations with deeply nested structures, multiple services, and extensive key-value mappings are fully supported and produce well-organized TSV output suitable for spreadsheet and database import.