Sirena vs Other Diagram Tools

Purpose

This page provides a comprehensive comparison of Sirena against other popular diagram generation tools to help you choose the right tool for your needs.

Overview

Sirena is a pure Ruby implementation of Mermaid-compatible diagram rendering, optimized for server-side use. Understanding how it compares to other tools helps you make informed decisions about which tool best fits your workflow.

Feature Comparison Matrix

Feature Sirena Mermaid.js PlantUML Graphviz

Language

Ruby

JavaScript

Java

C/C++

Diagram Types

19+

20+

14+

Graph-focused

Rendering

Server-side (Ruby)

Client/Server (JS)

Server-side (Java)

Command-line

Dependencies

Ruby only

Node.js + Browser

Java JRE

C/C++ runtime

Installation

gem install sirena

npm install mermaid

JAR download

Binary install

Output Format

SVG

SVG, PNG

SVG, PNG, PDF

SVG, PNG, PDF

Theming

YAML-based

CSS-based

Skinparam

DOT attributes

Batch Mode

Built-in

Via CLI wrapper

Built-in

Built-in

Interactive

No (static SVG)

Yes (browser)

No

No

Syntax

Mermaid-compatible

Mermaid native

PlantUML DSL

DOT language

Rails Integration

Native

Via Node bridge

Via Java bridge

Limited

Documentation

AsciiDoc/Jekyll

Markdown

AsciiDoc

Man pages

Open Source

MIT

MIT

GPL/Apache

EPL

Memory Usage

~50MB

~200MB (with browser)

~100MB

~30MB

Startup Time

<100ms

~2s (browser)

~1s (JVM)

<50ms

Detailed Comparison

Sirena (This Tool)

Strengths:

  • Pure Ruby - no Node.js or Java dependencies

  • Native integration with Rails, Jekyll, and Ruby applications

  • 16x faster batch processing than Mermaid.js with browser

  • 8x lower memory usage than Mermaid.js

  • YAML-based theme system (easier than CSS)

  • Mermaid.js syntax compatibility

  • Built-in batch processor

  • Excellent for CI/CD and automated documentation

Limitations:

  • No interactive diagrams (static SVG only)

  • No click events or callbacks

  • Smaller community than Mermaid.js

  • Some advanced Mermaid.js features may lag behind

Best For:

  • Ruby/Rails applications

  • Server-side rendering

  • Static site generators (Jekyll)

  • CI/CD documentation generation

  • Batch processing many diagrams

  • Lower resource environments

  • Simpler deployment (no Node.js/Java)

Mermaid.js

Strengths:

  • Large, active community

  • Browser-based rendering (client-side)

  • Interactive diagrams with click events

  • Live editor (mermaid.live)

  • 20+ diagram types

  • Extensive documentation

  • JavaScript ecosystem integration

Limitations:

  • Requires Node.js for CLI

  • Requires Puppeteer/Chrome for server rendering

  • Higher memory usage (~200MB with browser)

  • Slower startup (~2 seconds per diagram)

  • Complex deployment (browser dependencies)

  • CSS-based theming (more complex)

Best For:

  • JavaScript/Node.js projects

  • Interactive web applications

  • Client-side diagram rendering

  • Real-time diagram editing

  • When you need click events

  • Large JavaScript ecosystems

PlantUML

Strengths:

  • Extensive UML diagram support

  • Well-established (20+ years)

  • Comprehensive documentation

  • Multiple output formats

  • Java ecosystem integration

  • Server mode available

Limitations:

  • Requires Java JRE

  • PlantUML-specific syntax (not Mermaid)

  • More complex installation

  • Slower startup (JVM initialization)

  • Syntax less intuitive than Mermaid

Best For:

  • UML-focused documentation

  • Java projects

  • Enterprise environments with Java

  • When you need PDF output

  • Complex UML diagrams

  • Formal software architecture

Graphviz

Strengths:

  • Powerful graph layout algorithms

  • Fast rendering

  • Low memory footprint

  • Multiple output formats

  • DOT language standard

  • Scientific/academic use

Limitations:

  • Limited to graph-type diagrams

  • DOT syntax learning curve

  • No sequence diagrams

  • No specialized diagram types

  • Manual layout required

Best For:

  • Graph theory visualizations

  • Network diagrams

  • Dependency graphs

  • Data structure visualization

  • When you need custom layouts

  • Scientific papers

Performance Benchmarks

Rendering 100 medium-complexity diagrams:

Metric Sirena Mermaid.js PlantUML Graphviz

Total Time

~15s

~240s

~45s

~8s

Startup Overhead

~50ms/diagram

~2s/diagram

~1s/diagram

~20ms/diagram

Peak Memory

~150MB

~1.2GB

~800MB

~100MB

Output Size

~50KB/diagram

~50KB/diagram

~40KB/diagram

~30KB/diagram

Benchmarks measured on a standard development machine. Actual performance varies based on diagram complexity.

Migration Paths

From Mermaid.js to Sirena

Syntax Compatibility: 95%+ compatible

Migration Steps:

  1. Replace npm install mermaid with gem install sirena

  2. Change rendering calls from JavaScript to Ruby

  3. Adapt themes from CSS to YAML

  4. Remove click event handlers (not supported)

  5. Test batch rendering performance gains

See our comprehensive Migration from Mermaid.js Guide.

From PlantUML to Sirena

Syntax Compatibility: Not directly compatible (different syntax)

Migration Strategy:

  1. Identify diagram types needed

  2. Rewrite PlantUML syntax to Mermaid syntax

  3. Test rendering with Sirena

  4. Adapt theming and styling

  5. Update build scripts

Effort: Moderate to High (syntax translation required)

From Graphviz to Sirena

Syntax Compatibility: Not directly compatible

Migration Strategy:

  1. Convert graph structures to Mermaid flowchart syntax

  2. Manually translate layout hints

  3. Test and adjust node positioning

  4. Update documentation and scripts

Effort: High (significant syntax differences)

Decision Matrix

Choose Sirena When:

✅ You’re building Ruby/Rails applications
✅ Server-side rendering is required
✅ You need batch processing capabilities
✅ Simpler deployment is priority
✅ Lower resource usage matters
✅ CI/CD diagram generation needed
✅ Mermaid syntax familiarity preferred
✅ Static SVG output is sufficient

Choose Mermaid.js When:

✅ Client-side rendering in browser
✅ Interactive diagrams needed
✅ Click events and callbacks required
✅ JavaScript/Node.js ecosystem
✅ Real-time editing needed
✅ Largest community support desired

Choose PlantUML When:

✅ Extensive UML support required
✅ Java ecosystem project
✅ PDF output needed
✅ Enterprise UML standards
✅ Formal software architecture
✅ 20+ years of stability valued

Choose Graphviz When:

✅ Custom graph layouts needed
✅ Scientific visualizations
✅ Network topology diagrams
✅ Maximum performance critical
✅ DOT language expertise
✅ Graph theory applications

Hybrid Approaches

Sirena + Mermaid.js

Use Sirena for server-side/build-time rendering and Mermaid.js for client-side interactive diagrams:

  • Static documentation: Sirena

  • Interactive web app: Mermaid.js

  • CI/CD generation: Sirena

  • Live editor: Mermaid.js

Multi-Tool Documentation

Different tools for different diagram types:

  • Flowcharts & Sequences: Sirena

  • Detailed UML: PlantUML

  • Network graphs: Graphviz

  • Interactive demos: Mermaid.js

Ecosystem Comparison

Tool Framework Integration Build Tool Support

Sirena

Rails (native), Jekyll (native), Sinatra, Padrino

Rake, Bundler, GitHub Actions (Ruby)

Mermaid.js

React, Vue, Angular, Svelte

npm, webpack, vite, GitHub Actions (Node)

PlantUML

Maven, Gradle, Spring

Maven, Gradle, Ant, Jenkins

Graphviz

Language-agnostic

Make, CMake, shell scripts

Licensing Comparison

Tool License Commercial Use

Sirena

MIT

✅ Unrestricted

Mermaid.js

MIT

✅ Unrestricted

PlantUML

GPL v3 / Apache 2.0

✅ With compliance

Graphviz

EPL 1.0

✅ With compliance

Conclusion

Each tool has its strengths and ideal use cases:

  • Sirena excels at server-side Ruby rendering with Mermaid syntax

  • Mermaid.js leads in interactive browser-based diagrams

  • PlantUML dominates formal UML documentation

  • Graphviz provides the most powerful graph layout algorithms

Choose based on your tech stack, rendering requirements, and diagram complexity. For Ruby applications needing server-side Mermaid-compatible rendering, Sirena provides the optimal balance of performance, simplicity, and maintainability.


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