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YAML Viewer - Interactive Data Visualization Tool

Professional YAML viewer with interactive table visualization. Explore nested structures, hierarchical data, and complex configurations in a user-friendly format. Ideal for debugging, documentation, and data inspection.

Step 1

Upload or Paste Your YAML Content

The YAML viewer provides multiple input methods for maximum flexibility. Simply paste your YAML content or upload a file to begin interactive visualization:

•
Direct paste: Copy YAML from any source and paste directly into the viewer for instant visualization
•
File upload: Drag and drop .yml or .yaml files from your local system for viewing
•
URL import: Load YAML content directly from remote URLs for quick inspection
•
Sample data: Use pre-loaded examples to explore viewer capabilities and features

Example: CI/CD Pipeline Configuration

A typical GitHub Actions workflow file, perfect for visual inspection and debugging:

# CI/CD Pipeline Configuration
name: "Build and Deploy"
on:
  push:
    branches:
      - main
      - develop
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - name: "Checkout code"
        uses: actions/checkout@v3
      - name: "Setup Node"
        uses: actions/setup-node@v3
        with:
          node-version: 18
      - name: "Run tests"
        run: npm test
Step 2

Explore Interactive Table Visualization

The viewer automatically transforms your YAML into an interactive table with powerful features for exploring complex data structures:

•
Expandable rows: Click to expand and collapse nested objects and arrays for hierarchical navigation
•
Search and filter: Quickly find specific values or keys within large YAML documents
•
Syntax highlighting: Color-coded display helps distinguish between data types and structure levels
•
Copy individual values: Click any cell to copy its content for quick reference or debugging

Example: Interactive Table View

The pipeline configuration visualized as an interactive, explorable table:

PropertyValueType
nameBuild and Deploystring
on.push.branches[0]mainstring
on.push.branches[1]developstring
jobs.build.runs-onubuntu-lateststring
Step 3

Share and Export Visualizations

Share your YAML visualizations with team members or export for documentation and presentations:

•
Screenshot capture: Generate high-quality images of your table view for documentation
•
Print-friendly format: Optimized layout for printing and PDF generation
•
Shareable URLs: Create permanent links to share specific YAML views with colleagues
•
Excel export: Download as spreadsheet for further analysis

Example: Shareable Visualization

Export options make it easy to share pipeline configurations with your team:

Export FormatUse Case
PNG ImageDocumentation, wikis, tickets
PDF DocumentReports, presentations
Excel SpreadsheetData analysis, comparisons
Shareable LinkTeam collaboration, reviews

Perfect for DevOps teams reviewing pipeline configurations and infrastructure code.

Frequently Asked Questions

What types of YAML data work best for viewing?

The viewer excels with structured data like product catalogs, user databases, configuration files, and API responses. Arrays of objects with consistent schemas produce the most organized tables for analysis and reporting.

How does the tool handle nested YAML structures?

Nested objects are intelligently flattened into sub-tables or expanded columns, preserving relationships while making data accessible for analysis. Complex hierarchies are displayed as multiple related tables that maintain data integrity.

Can I export the viewed tables for business analysis?

Yes, tables can be exported to Excel format with preserved formatting, nested structures, and data types. This makes it perfect for business intelligence, statistical analysis, and creating reports from YAML configuration data.

How accurate is the YAML viewer for data analysis?

The viewer maintains 100% data fidelity, preserving all values, data types, and relationships. Numbers remain numeric for calculations, booleans stay boolean for filtering, and nested structures are logically organized for analysis workflows.

Is this YAML viewer free for commercial use?

Yes, completely free for personal and commercial use with no restrictions on file size, viewing frequency, or data volume. Perfect for business analytics, data migration projects, and enterprise reporting without licensing costs.

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