Show YAML Statistics

Show YAML Statistics provides a live breakdown of keys, values, arrays, line count, and nesting depth in any YAML file.

Paste your input above or import a file below.
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Supported file types: .yaml, .yml, .txt
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Options
Maximize output

How to Use:

  • Paste your YAML into the input area or upload a .yaml, .yml, or .txt file
  • The statistics panel updates automatically as you type or import content
  • View key metrics like total lines, key count, array count, and max nesting depth
  • Use the Maximize stats output toggle to expand the statistics panel
  • The stats refresh live on every change no need to click a button
  • You can re-import a file or overwrite text to compare multiple YAML structures

What Show YAML Statistics can do:

This tool parses your YAML and gives you an immediate visual of its structure. It counts how many top-level and nested keys your file contains, how many arrays are present, and how deep the nesting goes. It also totals how many actual values are stored and how many non-blank lines your YAML includes. You can use it to quickly evaluate complexity, detect deeply nested data, or compare config sizes. The entire tool runs locally in your browser no uploading, no saving, no server involved. Just paste your YAML and get insight.

Example:

YAML Input:

name: Alice
languages:
  - PHP
  - YAML
location:
  city: London
  zip: 12345

Output Stats:

Lines: 7
Total Keys: 5
Total Values: 4
Arrays: 1
Max Nesting Depth: 3

Common Use Cases:

Show YAML Statistics is ideal for analyzing config files, inspecting logs, or debugging complex nested data. Use it to compare environments, simplify templates, or check the size and structure of generated YAML before deployment. It’s especially useful for developers, DevOps, and QA teams who work with structured data regularly.

Useful Tools & Suggestions:

If you’re looking at YAML stats, you might also want to Visualize YAML Structure to see how everything nests at a glance. And for raw counts and complexity checks, Calculate Text Entropy can give you a feel for how dense or noisy your data really is.

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