5 Best Tools to Generate Diagrams from Code with Hands-On Testing

What are the best tools to generate diagrams from code? This guide lists five tested tools with pros, cons, and tips to help you pick the right one.

Maaz Ahmed
Maaz Ahmed Aug 11, 25
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I made diagrams by dragging and dropping tools together. They seemed okay, but they never stayed in sync with the code. Each update in the code forced me to fix the visuals. Then it hit me—the root problem was that my diagrams didn't belong within the codebase. I couldn't version-control them or have them update automatically.

I began searching to find a better method. That search introduced me to the best tools to generate diagrams from code. These tools work like writing code. They stay well-organized, easy to track, and simple to reuse. I could save them in Git, refresh them through CI/CD pipelines, and share them without clicking everywhere.

Old-school diagramming programs like Visio or Lucidchart felt clunky and outdated. They don't grow well with projects and hardly reflect how the system works.

After trying out the top tools for code-based diagramming, I picked five that stood out. My choices focused on how simple their syntax is, the integration features they offer, and how engaged their user communities are. To create diagrams easily with code, you should check these tools out.

In this article
  1. Top 5 Tools
  2. Comparison Table
  3. Pro Tips
  4. Limitations of Diagramming as Code and Why Consider GUI Options?
  5. My Closing Take

Top 5 Tools

PlantUML

PlantUML is a simple, open-source tool that creates diagrams from a basic scripting language. It doesn't rely on GUI tools and works in browsers, IDEs, and pipelines. You can edit, view, and save diagrams without needing to install software. Its strong Git compatibility and ability to handle various diagram types inside your code editor make it unique.

Example
@startuml

class User {
  +String name
  +String email
  +login()
  +logout()
}

class Admin {
  +manageUsers()
  +accessReports()
}

class Guest {
  +browseContent()
}

User <|-- Admin
User <|-- Guest

@enduml
plantuml-examples
Pros
  • Supports Over 10 Types of Diagrams: Draw class, state, sequence, deployment, or activity diagrams all in one place.
  • Perfect for Version Control: Uses plain text for diagrams. This makes it easy to store, compare, and review changes in Git.
  • Works With CI/CD Pipelines: Pairs with GitHub Actions or similar pipelines. This helps create auto-generated diagrams after each commit.
  • Web-based Editor Available: No installation needed. Jump straight into the online editor to make or share diagrams.
Cons
  • Takes Time to Learn: Understanding custom syntax can be challenging when dealing with detailed diagrams.
  • The Default Looks Feel Old: The basic themes might seem dull unless you take time to tweak them.
My Verdict

PlantUML reminds me of a Swiss Army knife. It offers versatility and useful tools in one package. I rely on it when I want to create different kinds of diagrams together. But the tricky syntax often causes problems. I have had to fix minor mistakes that ruin the diagrams. Using it is not always easy.

Mermaidchart.com

Mermaidchart.com works great to create tidy and organized diagrams from a Markdown-like syntax. It lets users make flowcharts, Gantt charts, and sequence diagrams while previewing them online. You can tweak the diagrams live, group them into projects, and save them as PNG, SVG, or PDF files. Everything happens right in your browser.

Example
flowchart TD
  A[User Login] --> B{Is Email Valid?}
  B -- Yes --> C[Check Password]
  B -- No --> D[Show Error Message]
  C --> E{Password Match?}
  E -- Yes --> F[Redirect to Dashboard]
  E -- No --> G[Show Error Message]
mermaid-examples
Pros
  • No Setup Required in GitHub/GitBook: You can add Mermaid code blocks into markdown files without needing extra plugins.
  • Live Preview with VS Code: Supported extensions let you see diagrams update while editing .md or .mmd files.
  • Works in Your Browser: You can design and handle multiple diagrams online without installing anything.
Cons
  • Struggles with Handling Nested Logic: Detailed diagrams become messy and are hard to manage.
  • Difficulty with Layout Control: Positioning nodes and managing spacing can fall apart in detailed or layered flows.
  • Few Styling Choices Available: Changing fonts, colors, or arrows requires tweaking CSS outside the tool.
My Verdict

Mermaidchart.com works great as a go-to tool to include simple diagrams in markdown files. I turn to it whenever I need easy-to-read visuals. It's quick to use and keeps things hassle-free for basic tasks. But when it comes to handling complex workflows or bigger system diagrams, it falls short.

Graphviz

Graphviz works well to create algorithmic and hierarchical graphs with the DOT language. It relies on precise layout engines to place nodes in things like trees, flowcharts, or decision maps. Developers can use it to get clear and precise visuals. These can be used for research papers, simulations, or when showing data structures.

Example
digraph DecisionTree {
  rankdir=TB;
  node [shape=box, style=filled, color=lightgray];

  Start -> "Check Email Format";
  "Check Email Format" -> "Invalid Email" [label="No"];
  "Check Email Format" -> "Check Password" [label="Yes"];
  "Check Password" -> "Login Success" [label="Match"];
  "Check Password" -> "Wrong Password" [label="Mismatch"];
}
graphviz-examples
Pros
  • Professional-level Layout Tools: It includes DOT, NEATO, and similar engines. This helps create clean and well-organized layouts.
  • Accessible using Python/Java/Rust: Can integrate into scripts or custom-made applications using various languages.
  • Accurate and Detailed Output: Helpful to study graph concepts, design compilers, and map out logical flows.
Cons
  • Figuring Out DOT File Issues is Tough: Tracing syntax mistakes or layout problems feels tricky. It gets difficult without anything visual to guide you.
  • Hard to Pick Up and Use: Even though the language seems straightforward, its strictness makes fixing errors a challenge.
  • No Real-time Updates: You have to render every single time to check edits. This makes updating slower than it should be.
My Verdict

Graphviz works well when you need detailed and organized graphs. I rely on it to create structured visuals, often for academic projects or backend-focused tasks. Writing a DOT file, though, takes effort and can become annoying to debug. If you're making small diagrams or rough plans, it feels like more hassle than it's worth.

Diagrams

Diagrams work best to create cloud architecture visuals through Python scripting. It lets you use icons from AWS, GCP, Azure, and Kubernetes. This helps describe your infrastructure with code. The tool generates clear and detailed system diagrams. This makes it useful to plan cloud setups and support DevOps tasks.

Example
# diagram.py
from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB

with Diagram("Web Service", show=False):
    ELB("lb") >> EC2("web") >> RDS("userdb")
$ python diagram.py
diagrams-examples
Pros
  • Python-friendly with Cloud Icons: Write Python code to visualize cloud services using authentic-looking icons. You get these from AWS, GCP, or Azure.
  • Simple to Track Changes: Store diagrams as Python scripts. This fits into version-control systems like Git.
  • Consistent and Reusable Diagrams: Run the same script to create matching visuals no matter the team or platform.
  • Automatic Alignment: The structure of the diagram adjusts nodes. You don't have to arrange elements yourself.
Cons
  • Works with Specific Node Types: It includes cloud-based components. You can't create your shapes or custom objects.
  • Lacks Control Over Visual Layout: The layout is generated, and you can't adjust where nodes are placed.
My Verdict

Diagrams work like a hidden weapon for cloud engineers. I use Diagrams to create cloud architecture visuals. Writing it all in Python feels natural since I'm already coding. I like being able to version my work and create diagrams again whenever I want. It is not fit for making general diagrams.

Structurizr

Structurizr works well to create C4 architecture diagrams at an enterprise level by using its DSL. It uses a single model to provide multiple views. This includes System Context, Container, Component, and Deployment. Teams can use the browser-based editor that supports versioning and organizes workspaces. This makes it easier to manage for larger groups.

Example
workspace {

    model {
        user = person "User" {
            description "A user of the system."
        }

        softwareSystem = softwareSystem "Example System" {
            description "An example software system."

            webApp = container "Web Application" {
                description "Allows users to interact with the system via a browser."
                technology "Java + Spring Boot"
            }

            database = container "Database" {
                description "Stores user data and system info."
                technology "PostgreSQL"
            }

            user -> webApp "Uses"
            webApp -> database "Reads from and writes to"
        }
    }

    views {
        systemContext softwareSystem {
            include user
            autolayout lr
        }

        container softwareSystem {
            include user
            autolayout lr
        }

        theme default
    }

}
structurizr-examples
Pros
  • C4 Model: You can work with all four levels of C4 diagrams without needing extra tools or formats.
  • Export Options: Create diagrams in an easy-to-read DSL format and save them in structured formats like JSON or YAML.
  • Generate Diagrams Straight From Code: Connect with the Structurizr CLI or DSL server to create diagrams from your code files.
Cons
  • Costly to Small Groups: When paid plans are not used on a large scale, costs grow fast.
  • Needs C4 Model Knowledge: New users must understand the C4 model to make sense of the diagrams.
My Verdict

Structurizr seems to set the benchmark high for professional architects. When I have to document a complex system and keep it manageable over time, it provides everything I could ask for. Its DSL makes it easier to manage versions, and the C4 support stands out as the best I've seen. However, it's neither budget-friendly nor ideal for beginners.

Comparison Table

Tool Strengths Learning Curve Output Quality
PlantUML Versatility Moderate 4/5
Mermaid Docs integration Easy 3/5
Graphviz Algorithmic layouts Hard 5/5
Diagrams Cloud diagrams Moderate 4/5
Structurizr Enterprise scalability Moderate-Hard 5/5

Recommendations:

I tried all five tools in real workflows and began to see where each one fit best. When I work alone, I like using Mermaid to make quick documentation and PlantUML to create detailed diagrams. It helps me stay efficient and flexible.

For cloud-based projects, Diagrams has been a huge time-saver. Writing infrastructure in Python feels natural with Diagrams. In large team projects, Structurizr stands out. It has C4 modeling and shared workspaces that work well for planning enterprise-level system designs.

Pro Tips

Here's what I've picked up while learning how to create UML from code. These tips can help you streamline your work, sidestep usual frustrations, and make the most out of any tool you use.

  • Use Automation for Diagrams: Avoid spending time updating diagrams on your own. Set up PlantUML with GitHub Actions to create diagrams whenever you push updates to your code. It keeps everything up-to-date while saving time.
  • Experiment with Custom Styles: Standard visuals might seem dull. Try modifying Mermaid using custom CSS or changing Graphviz options like fonts, spacing, or node shapes. Small tweaks can make a big difference in making diagrams look polished.
  • Try a Mixed Approach: I begin with Mermaid to sketch basic ideas fast. When diagrams become more detailed, I switch to Graphviz to gain better control over the layout. You can try this method to organize your work faster and improve clarity.
  • Save Versions of Your Diagrams: I manage my diagrams as if they were code. Storing them in Git allows me to track progress and work better with others. This habit will make things simpler later on.

Limitations of Diagramming as Code and Why Consider GUI Options?

Diagramming as code is good but far from perfect. Here are some drawbacks of diagramming as code:

  • Steep Learning Curve: You can't just start making diagrams right away. Tools like PlantUML or DOT require you to learn their specific syntax. Even a tiny error in your code can mess up the whole diagram.
  • Little Control Over Design: Want to nudge a box to the left or tweak the arrow's look? That's tough to do. The tool gives you what it wants, and adjusting layouts or styles can be extra work, or sometimes you just can't.
  • Narrow Use Cases: These tools work best when creating organized and planned diagrams. However, they fall short when you need to quickly sketch ideas or think during a brainstorming session. They require more effort writing than focusing on your thoughts.

Strengths of GUI Tools

edrawmax-online

Creating diagrams with code might seem like a smart method at first, but it becomes frustrating when fast tweaks are required. Coding line by line isn't always the best choice for every idea. There are times when dragging and dropping feels quicker. Tools with graphical user interfaces, such as EdrawMax, help in those moments.

EdrawMax is an all-in-one diagram maker built for speed and simplicity. It doesn't require coding skills, yet it offers powerful features that match structured diagram tools. You can build flowcharts, org charts, ER diagrams, and more. The interface is clean, and the options are flexible enough for both beginners and advanced users.

Why You Will Love It

  • No-Code Editing: You can make and organize diagrams by dragging and dropping elements.
  • AI-Powered Design: The system offers smart layout ideas, lines things up, and formats with just one click.
  • Multi-Format Exporting: You can save your diagrams as PNG, SVG, PDF, HTML, and editable files to share them.

How to Choose?

When I create technical docs, I kick things off with a diagram as code. This keeps everything in version control and consistent. Down the line, I switch to a GUI tool to make the visual layout better.

But for work I do for clients or creative presentations, I don't bother with code. Instead, I go straight for a GUI tool like EdrawMax. It's faster, produces cleaner results, and makes it easier to act on feedback.

My Closing Take

Most software tools excel at one specific task—they either help you write diagrams as if you're coding or allow you to drag shapes into position. But real-world projects often require both capabilities. After putting numerous options to the test, these five top code-driven diagram tools stood out. They present reliability, effectiveness, and usefulness in actual projects.

The best tools to create diagrams from code do more than just save time. They keep things consistent, easy to share, and simple to update. Tools like PlantUML, Mermaid, and Graphviz add structure and control. Diagrams make cloud visuals easier for Python users. Structurizr tackles big enterprise systems in depth.

Yet, you don't always need to begin with programming. For quick changes or polished visuals for clients, EdrawMax stands out as a smart option when you want fast outcomes without compromising on quality.

You've learned what's effective, in which situations, and for what reasons. It's your turn now—choose a tool and begin creating more intelligent diagrams. Pick one and see how it goes!

edrawmax logoEdrawMax Desktop
Simple alternative to Visio
210+ types of diagrams
10K+ free templates & 26k+ symbols
10+ AI diagram generators
10+ export formats
edrawmax logoEdrawMax Online
Edit diagrams anywhere, anytime
Personal cloud & Dropbox integration
Enterprise-level data security
Team management and collaboration

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