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CI/CD Visualization

GitHub Actions Visualizer

Visualize GitHub Actions workflow YAML using Mermaid.js. Analyzes job dependencies (needs) and displays them as a flowchart.

Guide: How to use & features

  • Paste your GitHub Actions YAML into the "Enter Workflow YAML" box.
  • Click the "Visualize" button to render the diagram on the right.
  • Dependencies between jobs (needs) are drawn as arrows (-->).
  • Click "Copy Mermaid Code" to get code you can use in GitHub Markdown or other Mermaid-supported tools.

Samples: Sample input & output

Basic job dependencies

Input

jobs:
  build:
    runs-on: ubuntu-latest
  test:
    needs: build
    runs-on: ubuntu-latest
  deploy:
    needs: test
    runs-on: ubuntu-latest

Output

graph TD
  build
  test
  build --> test
  deploy
  test --> deploy

FAQ: FAQ

  • What does this tool visualize?

    It parses a GitHub Actions workflow YAML and draws the dependencies between jobs (needs) as a Mermaid.js flowchart. You can see at a glance which jobs wait for which, and which run in parallel — helpful for grasping the overall shape of a complex pipeline.

  • Does it actually run the workflow or validate the syntax?

    No. It does not execute or fully validate anything; it only diagrams the dependency structure. Confirm real behavior in the run logs on GitHub. The diagram is meant as an overview for design, review, and documentation.

  • Is the YAML I paste sent anywhere?

    Parsing and rendering happen entirely in your browser, so the workflow YAML you paste is never sent to a server. You can safely visualize workflows from private repositories.

Use cases: Common use cases

  • Understanding Workflow Dependencies

    Visualize job connections through `needs` to intuitively understand execution order and potential bottlenecks.

  • Supporting Pull Request Reviews

    Visualize changed YAML and share the diagram to help reviewers quickly grasp changes in job configuration.

  • Steamlining Documentation

    Generate Mermaid code to embed in GitHub READMEs or Wikis, keeping your workflow diagrams up to date effortlessly.
graph TD A[Start] --> B[Input YAML] B --> C[Visualize]

GitHub Actions Pipeline Visualizer

This tool parses complex CI/CD pipeline configurations (like your GitHub Actions workflow.yml) and visualizes job dependencies (needs) and execution order as an interactive flowchart.

Benefits for Development and Operations

In modern DevOps, pipelines often contain numerous jobs—such as formatting, linting, testing, building, and deploying—running both in parallel and sequentially. As YAML files grow in length, intuitively understanding “which job waits for which” becomes difficult.
By simply pasting your YAML into this visualizer, job dependencies are instantly drawn as a Mermaid graph. This helps you quickly pinpoint bottlenecks and prevent architectural flow mistakes securely, directly inside your browser.

Articles for this tool

Introduction
2026-01-21

Visualizing GitHub Actions Workflows: Understanding Complex Pipelines

Visualize GitHub Actions job dependencies (needs) as a Mermaid graph. Covers how the needs field converts to arrows, the string-vs-array quirk, fan-out/fan-in/matrix patterns, and how to spot circular dependencies.

Use Case
2026-07-21

GitHub Actions needs Design Patterns: Speed Up CI, Avoid the Anti-Patterns

A pattern reference for GitHub Actions job dependencies (needs). Covers diamond-shaped fan-out, concurrency cancellation, fail-fast tradeoffs, matrix-plus-needs gotchas, and reusable workflows, with copy-paste YAML examples.

Recent Articles

Use Case
2026-08-07

curl Options Cheat Sheet: What -X, -H and -d Actually Do

A reference for the curl options you meet in real API work: why -d already implies POST, how -d differs from --data-raw, the @ prefix that silently reads a file, single vs double quotes, and why -k and -L deserve more caution than they usually get.

Introduction
2026-08-06

Converting Between JSON Schema and Zod: How required Maps to .optional()

Inside a two-way converter that turns JSON Schema into a Zod schema and Zod code back into JSON Schema. Covers the inverted defaults between required and .optional(), the constraint mapping table, and how the Zod side is parsed without executing any code.

Use Case
2026-08-06

SQL Clause Order Reference: Why WHERE Can't See Your SELECT Alias

The order you write SQL clauses is not the order the database runs them. A reference for the logical execution order (FROM → WHERE → GROUP BY → HAVING → SELECT → ORDER BY → LIMIT), why aliases fail in WHERE, when to use WHERE vs HAVING, and the MySQL/PostgreSQL differences that bite.

Use Case
2026-08-06

Unified Diff Format Reference: Reading @@ Hunks in git diff Output

How to read the unified diff format git produces: what the four numbers in @@ -12,7 +12,9 @@ mean, why a one-character edit shows as a whole-line replacement, the whitespace and line-ending traps, \ No newline at end of file, combined @@@ diffs on merges, and rename detection via similarity index.

Use Case
2026-08-06

UTC to JST Reference: The 9-Hour Offset, Cheat Sheet & Timezone Pitfalls

Convert between UTC and JST (Japan Standard Time) with a cheat sheet. Covers what Z and +09:00 mean in ISO 8601, when JavaScript date parsing silently shifts by 9 hours, MySQL/PostgreSQL timezone behavior, and why GitHub Actions cron always runs in UTC.

Use Case
2026-08-04

CREATE TABLE Reference: MySQL vs PostgreSQL vs SQLite Types & Constraints

A cross-database CREATE TABLE (DDL) reference with cheat sheets for data types, auto-increment keys (AUTO_INCREMENT / IDENTITY / rowid), foreign key ON DELETE behavior, and the CHECK constraint that MySQL silently ignores.

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