| name | matlab-uihtml-app-builder |
| description | Build interactive web applications using HTML/JavaScript interfaces with MATLAB computational backends via the uihtml component. Use when creating HTML-based MATLAB apps, JavaScript MATLAB interfaces, web UIs with MATLAB, interactive MATLAB GUIs, or when user mentions uihtml, HTML, JavaScript, web apps, or web interfaces. |
| license | MathWorks BSD-3-Clause (see LICENSE) |
| metadata | {"author":"MathWorks","version":"1.0"} |
MATLAB uihtml App Builder
This skill covers how to build interactive web applications that combine HTML/JavaScript interfaces with MATLAB computational backends using the uihtml component. The HTML side handles the UI; MATLAB does the computation.
When to Use This Skill
- Building interactive MATLAB apps with HTML/JavaScript interfaces
- Creating web-based UIs for MATLAB applications
- Building responsive MATLAB GUIs with HTML/CSS/JS
- When user mentions: uihtml, HTML, JavaScript, web app, web interface, interactive GUI
- Combining web UI design with MATLAB computational power
- Creating calculator apps, data visualizers, or form-based MATLAB tools
Core Architecture
The Four Components
- HTML Interface - User interface with buttons, forms, displays
- JavaScript Logic - Event handling and UI interactions
- MATLAB Backend - Computational engine and data processing
- uihtml Component - Bridge between HTML and MATLAB
Communication Patterns
The uihtml component enables bidirectional communication between JavaScript and MATLAB through several mechanisms:
Pattern 1: MATLAB → JavaScript (Data Property)
Use Case: Sending data from MATLAB to update the HTML interface
% MATLAB side
h.Data = "Hello World!";
htmlComponent.addEventListener("DataChanged", function(event) {
document.getElementById("display").innerHTML = htmlComponent.Data;
});
Pattern 2: JavaScript → MATLAB (Events)
Use Case: Triggering MATLAB functions from user interactions
htmlComponent.sendEventToMATLAB("Calculate", expression);
% MATLAB side - receive and handle event
h.HTMLEventReceivedFcn = @handleEvent;
function handleEvent(src, event)
eventName = event.HTMLEventName;
eventData = event.HTMLEventData;
% Process event...
end
Pattern 3: MATLAB → JavaScript (Custom Events)
Use Case: Sending computed results or status updates to JavaScript
% MATLAB side - send custom event to JavaScript
sendEventToHTMLSource(h, "ResultChanged", result);
htmlComponent.addEventListener("ResultChanged", function(event) {
document.getElementById("display").textContent = event.Data;
});
Pattern 4: Complex Data Transfer
Use Case: Passing structured data between MATLAB and JavaScript
% MATLAB side - struct data gets JSON encoded automatically
itemData = struct("ItemName","Apple","Price",2,"Quantity",10);
h.Data = itemData;
htmlComponent.Data.ItemName
htmlComponent.Data.Price
htmlComponent.Data.Quantity
Important: decoding is automatic in both directions.
- A JS object sent via
sendEventToMATLAB arrives on event.HTMLEventData already converted to a MATLAB struct. Do not call jsondecode; it will fail on a struct.
- A MATLAB struct sent via
sendEventToHTMLSource arrives on event.Data already as a JavaScript object. Do not call JSON.parse; it will fail on an object.
- Field names round-trip exactly: a JS
{x0: 1} becomes a MATLAB struct('x0', 1), not struct('x_0', ...) or similar.
- Numeric scalars arrive as MATLAB
double. Wrap field reads with double(data.x0) if you want to be defensive about types.
Critical Rules
Security Requirements
-
ALWAYS set HTMLSource = 'trusted' when using local HTML files:
h.HTMLSource = fullfile(pwd, 'myapp.html');
% This is treated as trusted automatically for local files
-
MUST validate all input from JavaScript before processing in MATLAB
-
NEVER use eval() on user input without strict sanitization
-
ALWAYS restrict allowed characters in user input for expressions
Error Handling
ALWAYS wrap MATLAB event handlers in try-catch blocks:
function handleEvent(src, event)
eventName = event.HTMLEventName;
eventData = event.HTMLEventData;
try
% Process the event
result = processData(eventData);
% Send result back to JavaScript
sendEventToHTMLSource(src, 'ResultEvent', result);
catch ME
% Handle errors gracefully
fprintf('Error: %s\n', ME.message);
sendEventToHTMLSource(src, 'ErrorEvent', ME.message);
end
end
Data Validation
ALWAYS validate user input before processing:
function result = validateExpression(expression)
allowedChars = '0123456789+-*/.() ';
if ~all(ismember(expression, allowedChars))
error('Invalid characters in expression');
end
% Additional validation...
result = true;
end
File Organization
Follow this directory structure:
project/
├── app.m # Main MATLAB function
├── app.html # HTML interface
├── README.md # Usage instructions
└── examples/ # Additional examples (optional)
Complete Examples
Example 1: Simple Calculator App
MATLAB Side (calculator.m):
function calculator()
% Create main figure
fig = uifigure('Name', 'Calculator', 'Position', [100 100 400 500]);
% Create HTML component
h = uihtml(fig, 'Position', [25 25 350 450]);
h.HTMLSource = fullfile(pwd, 'calculator.html');
h.HTMLEventReceivedFcn = @(src, event) handleEvent(src, event);
end
function handleEvent(src, event)
eventName = event.HTMLEventName;
eventData = event.HTMLEventData;
try
switch eventName
case 'Calculate'
% Validate input
expression = char(eventData);
allowedChars = '0123456789+-*/.() ';
if ~all(ismember(expression, allowedChars))
error('Invalid characters in expression');
end
% Evaluate safely
result = eval(expression);
% Send result back
sendEventToHTMLSource(src, 'Result', num2str(result));
case 'Clear'
sendEventToHTMLSource(src, 'Result', '0');
end
catch ME
fprintf('Error: %s\n', ME.message);
sendEventToHTMLSource(src, 'Error', 'Invalid expression');
end
end
HTML Side (calculator.html):
<!DOCTYPE html>
<html>
<head>
<style>
body {
font-family: Arial, sans-serif;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
margin: 0;
padding: 20px;
}
.calculator {
background: white;
border-radius: 10px;
padding: 20px;
box-shadow: 0 10px 30px rgba(0,0,0,0.3);
}
.display {
width: 100%;
height: 60px;
font-size: 24px;
text-align: right;
padding: 10px;
border: 2px solid #ccc;
border-radius: 5px;
margin-bottom: 10px;
background: #f9f9f9;
}
.buttons {
display: grid;
grid-template-columns: repeat(4, 1fr);
gap: 10px;
}
button {
padding: 20px;
font-size: 18px;
border: none;
border-radius: 5px;
cursor: pointer;
background: #667eea;
color: white;
transition: background 0.3s;
}
button:hover {
background: #764ba2;
}
.operator {
background: #ff6b6b;
}
.operator:hover {
background: #ee5a52;
}
</style>
<script type="text/javascript">
let currentExpression = '';
function setup(htmlComponent) {
window.htmlComponent = htmlComponent;
htmlComponent.addEventListener("Result", function(event) {
document.getElementById("display").value = event.Data;
currentExpression = event.Data;
});
htmlComponent.addEventListener("Error", function(event) {
document.getElementById("display").value = "Error";
currentExpression = '';
});
}
function appendToDisplay(value) {
currentExpression += value;
document.getElementById("display").value = currentExpression;
}
function clearDisplay() {
currentExpression = '';
document.getElementById("display").value = '0';
window.htmlComponent.sendEventToMATLAB("Clear", "");
}
function calculate() {
if (currentExpression) {
window.htmlComponent.sendEventToMATLAB("Calculate", currentExpression);
}
}
</script>
</head>
<body>
<div class="calculator">
<input type="text" id="display" class="display" value="0" readonly>
<div class="buttons">
<button onclick="appendToDisplay('7')">7</button>
<button onclick="appendToDisplay('8')">8</button>
<button onclick="appendToDisplay('9')">9</button>
<button class="operator" onclick="appendToDisplay('/')">/</button>
<button onclick="appendToDisplay('4')">4</button>
<button onclick="appendToDisplay('5')">5</button>
<button onclick="appendToDisplay('6')">6</button>
<button class="operator" onclick="appendToDisplay('*')">*</button>
<button onclick="appendToDisplay('1')">1</button>
<button onclick="appendToDisplay('2')">2</button>
<button onclick="appendToDisplay('3')">3</button>
<button class="operator" onclick="appendToDisplay('-')">-</button>
<button onclick="appendToDisplay('0')">0</button>
<button onclick="appendToDisplay('.')">.</button>
<button onclick="calculate()">=</button>
<button class="operator" onclick="appendToDisplay('+')">+</button>
<button style="grid-column: span 4; background: #ff6b6b;" onclick="clearDisplay()">Clear</button>
</div>
</div>
</body>
</html>
Example 2: Data Visualization App
MATLAB Side (visualizer.m):
function visualizer()
fig = uifigure('Name', 'Data Visualizer', 'Position', [100 100 800 600]);
% Create HTML component for controls
h = uihtml(fig, 'Position', [25 400 750 175]);
h.HTMLSource = fullfile(pwd, 'controls.html');
h.HTMLEventReceivedFcn = @(src, event) handleEvent(src, event, fig);
% Create axes for plotting
ax = uiaxes(fig, 'Position', [25 25 750 350]);
xlabel(ax, 'X');
ylabel(ax, 'Y');
title(ax, 'Interactive Plot');
end
function handleEvent(src, event, fig)
eventName = event.HTMLEventName;
eventData = event.HTMLEventData;
try
switch eventName
case 'UpdatePlot'
% Parse parameters from JavaScript
params = eventData;
frequency = params.frequency;
amplitude = params.amplitude;
plotType = params.plotType;
% Generate data
x = linspace(0, 4*pi, 200);
switch plotType
case 'sine'
y = amplitude * sin(frequency * x);
case 'cosine'
y = amplitude * cos(frequency * x);
case 'both'
y = amplitude * sin(frequency * x);
y2 = amplitude * cos(frequency * x);
end
% Find axes and plot
ax = findobj(fig, 'Type', 'axes');
cla(ax);
if strcmp(plotType, 'both')
plot(ax, x, y, 'LineWidth', 2);
hold(ax, 'on');
plot(ax, x, y2, 'LineWidth', 2);
hold(ax, 'off');
legend(ax, 'Sine', 'Cosine');
else
plot(ax, x, y, 'LineWidth', 2);
end
grid(ax, 'on');
% Send confirmation
sendEventToHTMLSource(src, 'PlotUpdated', 'Success');
end
catch ME
fprintf('Error: %s\n', ME.message);
sendEventToHTMLSource(src, 'Error', ME.message);
end
end
HTML Side (controls.html):
<!DOCTYPE html>
<html>
<head>
<style>
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background: linear-gradient(135deg, #2c3e50 0%, #34495e 100%);
color: white;
margin: 0;
padding: 20px;
}
.controls {
display: grid;
grid-template-columns: 1fr 1fr 1fr;
gap: 20px;
}
.control-group {
background: rgba(255,255,255,0.1);
padding: 15px;
border-radius: 8px;
}
label {
display: block;
margin-bottom: 5px;
font-weight: bold;
}
input[type="range"] {
width: 100%;
}
select, button {
width: 100%;
padding: 8px;
border-radius: 5px;
border: none;
font-size: 14px;
}
button {
background: #3498db;
color: white;
cursor: pointer;
margin-top: 10px;
transition: background 0.3s;
}
button:hover {
background: #2980b9;
}
</style>
<script type="text/javascript">
function setup(htmlComponent) {
window.htmlComponent = htmlComponent;
htmlComponent.addEventListener("PlotUpdated", function(event) {
console.log("Plot updated successfully");
});
}
function updatePlot() {
const frequency = parseFloat(document.getElementById("frequency").value);
const amplitude = parseFloat(document.getElementById("amplitude").value);
const plotType = document.getElementById("plotType").value;
const params = {
frequency: frequency,
amplitude: amplitude,
plotType: plotType
};
window.htmlComponent.sendEventToMATLAB("UpdatePlot", params);
}
function updateFreqLabel(value) {
document.getElementById("freqValue").textContent = value;
}
function updateAmpLabel(value) {
document.getElementById("ampValue").textContent = value;
}
</script>
</head>
<body>
<div class="controls">
<div class="control-group">
<label>Frequency: <span id="freqValue">1</span></label>
<input type="range" id="frequency" min="0.1" max="5" step="0.1" value="1"
oninput="updateFreqLabel(this.value)">
</div>
<div class="control-group">
<label>Amplitude: <span id="ampValue">1</span></label>
<input type="range" id="amplitude" min="0.1" max="5" step="0.1" value="1"
oninput="updateAmpLabel(this.value)">
</div>
<div class="control-group">
<label>Plot Type:</label>
<select id="plotType">
<option value="sine">Sine</option>
<option value="cosine">Cosine</option>
<option value="both">Both</option>
</select>
</div>
</div>
<button onclick="updatePlot()">Update Plot</button>
</body>
</html>
Example 3: Form Processing App
MATLAB Side (formProcessor.m):
function formProcessor()
fig = uifigure('Name', 'Form Processor', 'Position', [100 100 600 400]);
h = uihtml(fig, 'Position', [25 25 550 350]);
h.HTMLSource = fullfile(pwd, 'form.html');
h.HTMLEventReceivedFcn = @(src, event) handleEvent(src, event);
end
function handleEvent(src, event)
eventName = event.HTMLEventName;
eventData = event.HTMLEventData;
try
switch eventName
case 'SubmitForm'
% Extract form data
name = eventData.name;
email = eventData.email;
age = eventData.age;
% Validate data
if isempty(name) || isempty(email)
error('Name and email are required');
end
if ~contains(email, '@')
error('Invalid email address');
end
if age < 0 || age > 120
error('Invalid age');
end
% Process data (example: save to file or database)
fprintf('Processing form:\n');
fprintf(' Name: %s\n', name);
fprintf(' Email: %s\n', email);
fprintf(' Age: %d\n', age);
% Send success message
result = struct('status', 'success', ...
'message', 'Form submitted successfully!');
sendEventToHTMLSource(src, 'FormResult', result);
case 'ClearForm'
sendEventToHTMLSource(src, 'FormCleared', '');
end
catch ME
fprintf('Error: %s\n', ME.message);
result = struct('status', 'error', 'message', ME.message);
sendEventToHTMLSource(src, 'FormResult', result);
end
end
Best Practices
UI Design Principles
- Use CSS Grid or Flexbox for responsive layouts that adapt to different window sizes
- Implement hover effects for better user experience and visual feedback
- Provide clear visual feedback for user actions (button clicks, form submission, errors)
- Use semantic HTML elements (button, input, form) for better accessibility
- Pick a color scheme deliberately using CSS gradients and current design patterns (see
matlab-uihtml-design for ready-made styles)
Performance Optimization
- Minimize data transfer between HTML and MATLAB - send only necessary data
- Use appropriate data types - numbers, strings, structs (converted to JSON)
- Implement loading indicators for long MATLAB operations
- Cache results when appropriate using persistent variables in MATLAB
- Batch multiple updates instead of sending many small events
Error Handling Strategy
JavaScript Side:
htmlComponent.addEventListener("Error", function(event) {
alert("Error: " + event.Data);
});
MATLAB Side:
try
result = processInput(input);
sendEventToHTMLSource(src, 'Success', result);
catch ME
fprintf('Error: %s\n', ME.message);
sendEventToHTMLSource(src, 'Error', 'Processing failed');
end
Testing Strategy
-
Unit Testing - Test MATLAB functions independently
% Test individual processing functions
assert(validateExpression('2+2'), 'Validation should pass');
-
Integration Testing - Test HTML-MATLAB communication
% Test event handling with sample data
testEvent = struct('HTMLEventName', 'Calculate', 'HTMLEventData', '2+2');
handleEvent(h, testEvent);
-
User Testing - Test complete user workflows
- Try all button combinations
- Test edge cases and invalid inputs
- Verify visual feedback is clear
-
Error Testing - Test error conditions
- Invalid input characters
- Empty input fields
- Network/timeout scenarios
Debugging Tips
-
MATLAB Side: Use fprintf() to log events and data
fprintf('Received event: %s with data: %s\n', eventName, eventData);
-
JavaScript Side: Use browser developer tools (F12) to debug
console.log("Sending to MATLAB:", data);
-
Test each communication direction separately
- First test MATLAB → JavaScript (Data property)
- Then test JavaScript → MATLAB (events)
- Finally test bidirectional flow
-
Verify data types and formats
fprintf('Data type: %s\n', class(eventData));
fprintf('Data value: %s\n', string(eventData));
Common Patterns
Pattern 1: Calculator Pattern
- JavaScript builds expression strings from button clicks
- Send expression to MATLAB via
sendEventToMATLAB
- MATLAB safely evaluates with input validation
- Results sent back via
sendEventToHTMLSource
- Display results in real-time
Pattern 2: Data Visualization Pattern
- JavaScript handles user interaction (sliders, dropdowns)
- Send parameters to MATLAB for computation
- MATLAB processes data and updates plots
- Can use uiaxes for MATLAB plots or send data for JavaScript plotting
- Support real-time updates and animations
Pattern 3: Form Processing Pattern
- JavaScript collects form data into structured object
- Send entire form data as single event
- MATLAB validates each field
- Process data (save, compute, export)
- Send confirmation or error messages back
- Update UI based on results
Pattern 4: Real-time Monitoring Pattern
- MATLAB continuously generates data (simulation, sensor reading)
- Send updates via
sendEventToHTMLSource at intervals
- JavaScript updates display in real-time
- Implement start/stop/pause controls
- Use efficient data formats (arrays, structs)
Long-Running Operations
When MATLAB drives an operation that takes more than a fraction of a second (an animation, an integration sweep, a streaming simulation), the patterns above need a few additions: a timer, resource cleanup, a way to cancel, and a way to tune the operation while it runs.
Timer-Driven Animation
Use a MATLAB timer to drive the operation. Store the handle on fig.UserData so other event handlers (Reset, Stop, figure-close) can find and stop it.
function startAnimation(fig, ax, data)
stopAnimTimer(fig); % kill any prior run
state.data = data;
state.idx = 1;
state.line = animatedline(ax, 'Color', [0.65 0.55 0.94], 'LineWidth', 1.4);
state.step = 5; % points per tick (mutable from outside; see below)
tmr = timer( ...
'ExecutionMode', 'fixedSpacing', ...
'Period', 0.03, ...
'BusyMode', 'drop', ... % skip ticks if callback overruns
'TimerFcn', @(s, ~) animStep(s, fig));
tmr.UserData = state;
fig.UserData.AnimTimer = tmr;
start(tmr);
end
function animStep(tmr, fig)
if ~isvalid(fig) || ~isvalid(tmr), return; end
s = tmr.UserData;
iEnd = min(numel(s.data), s.idx + s.step - 1);
addpoints(s.line, s.data(s.idx:iEnd, 1), s.data(s.idx:iEnd, 2));
s.idx = iEnd + 1;
tmr.UserData = s;
drawnow limitrate;
if s.idx > numel(s.data)
stop(tmr); delete(tmr);
fig.UserData.AnimTimer = [];
% Notify JS that the operation completed
sendEventToHTMLSource(fig.UserData.UIHtml, 'OperationDone', struct('n', iEnd));
end
end
Key choices:
BusyMode='drop': if a callback takes longer than Period, the next tick is skipped rather than queued. This prevents callback pile-ups on slow systems.
drawnow limitrate: caps rendering at ~20 fps while still processing UI events, so the user can still interact (scroll, drag sliders, click Stop).
- Self-cleaning: the last tick stops and deletes the timer, then nulls out the stored handle.
Resource Cleanup on Figure Close
Any timer, listener, or background resource must be torn down when the figure closes. Otherwise it leaks across reruns and can fire callbacks against deleted graphics objects.
fig.UserData = struct('AnimTimer', [], 'UIHtml', h, 'Axes', ax);
fig.CloseRequestFcn = @(s, ~) closeFig(s);
function closeFig(fig)
stopAnimTimer(fig);
delete(fig);
end
function stopAnimTimer(fig)
if ~isvalid(fig) || ~isfield(fig.UserData, 'AnimTimer'), return; end
tmr = fig.UserData.AnimTimer;
if ~isempty(tmr) && isvalid(tmr)
try, stop(tmr); catch, end
delete(tmr);
end
fig.UserData.AnimTimer = [];
end
The same stopAnimTimer is reused by Reset and Stop handlers, so there's one cleanup path to maintain.
Cancellable Operations (Run ↔ Stop)
For operations the user might want to cancel, repurpose the primary action button via a JS state machine. Don't add a separate Stop button; the panel gets crowded, and a context-aware single button matches play/pause UX.
let runState = "idle";
function setRunning(state) {
runState = state;
const b = document.getElementById("runBtn");
b.classList.remove("busy");
if (state === "idle") {
b.textContent = "Run";
b.disabled = false;
} else if (state === "running") {
b.textContent = "Run";
b.classList.add("busy");
b.disabled = true;
} else if (state === "cancellable") {
b.textContent = "Stop";
b.classList.add("busy");
b.disabled = false;
}
}
function onRunClick() {
if (runState === "cancellable") {
window.htmlComponent.sendEventToMATLAB("StopOperation", "");
return;
}
setRunning("cancellable");
window.htmlComponent.sendEventToMATLAB("RunOperation", collectParams());
}
On the MATLAB side, StopOperation stops the timer, leaves any partial output in place (so the user keeps what was computed), and emits an event so JS can flip the button back to "Run":
case 'StopOperation'
stopAnimTimer(fig);
s = lastState(fig); % whatever partial result you tracked
sendEventToHTMLSource(src, 'OperationStopped', s);
Distinguish three completion events back to JS:
| Event | When |
|---|
OperationDone | Natural completion (full result) |
OperationStopped | User clicked Stop (partial result) |
OperationError | Caught exception (error message) |
All three should call setRunning("idle") in JS so the button returns to "Run".
Live Control During an Ongoing Operation
When the user wants to tune a parameter while the operation runs (animation speed, simulation rate, plot range), the JS slider's input event needs to push updates to MATLAB without restarting the operation.
Two rules:
-
Throttle the JS-side send so dragging the slider doesn't flood MATLAB with events:
let sendTimer = null;
document.getElementById("speed").addEventListener("input", function() {
if (sendTimer) return;
sendTimer = setTimeout(function() {
const v = parseInt(document.getElementById("speed").value, 10);
window.htmlComponent.sendEventToMATLAB("SetSpeed", v);
sendTimer = null;
}, 80);
});
-
Patch the live timer's UserData in place. Don't stop and restart:
case 'SetSpeed'
tmr = fig.UserData.AnimTimer;
if ~isempty(tmr) && isvalid(tmr)
s = tmr.UserData;
s.step = max(1, min(50, round(double(data)))); % clamp + sanitize
tmr.UserData = s;
end
% no-op if no animation running; the slider still updates its label
MATLAB serializes all callbacks on the main thread, so the timer tick and the SetSpeed handler never execute concurrently. The UserData update is atomic from the tick's point of view.
Saving the Output (Export from a uiaxes)
A common requirement: a "Save Image" button in the HTML that exports the current plot. Use uiputfile + exportgraphics:
case 'ExportImage'
ax = fig.UserData.Axes;
if isempty(ax.Children)
sendEventToHTMLSource(src, 'ExportError', 'Nothing to export');
return;
end
defaultName = sprintf('plot_%s.png', datestr(now, 'yyyymmdd_HHMMSS'));
[file, path] = uiputfile({'*.png';'*.jpg';'*.pdf'}, 'Export plot', defaultName);
if isequal(file, 0)
sendEventToHTMLSource(src, 'ExportComplete', 'cancelled');
return;
end
try
exportgraphics(ax, fullfile(path, file), 'Resolution', 300, ...
'BackgroundColor', fig.Color);
sendEventToHTMLSource(src, 'ExportComplete', file);
catch ME
sendEventToHTMLSource(src, 'ExportError', ME.message);
end
Pass fig.Color as BackgroundColor so the export matches the on-screen figure background. Important for dark themes, where the default white background looks wrong.
Implementation Checklist
Before deploying a uihtml app, verify:
Troubleshooting
Issue: HTML file not loading in uihtml component
Issue: Events not triggering MATLAB callback
- Solution: Verify
HTMLEventReceivedFcn is set before HTML loads
- Solution: Check JavaScript is calling
sendEventToMATLAB correctly
Issue: Data not updating in JavaScript
- Solution: Ensure
DataChanged event listener is registered in setup()
- Solution: Verify MATLAB is setting
h.Data property, not sending event
Issue: JavaScript errors in browser console
- Solution: Open browser dev tools (F12) to see detailed error messages
- Solution: Ensure
htmlComponent is passed to setup() function
- Solution: Check for typos in element IDs and function names
Issue: MATLAB errors not displayed to user
- Solution: Implement error event handling in both MATLAB and JavaScript
- Solution: Use try-catch in MATLAB and send error messages via
sendEventToHTMLSource
Issue: Slow performance when sending data
- Solution: Reduce frequency of updates (throttle events)
- Solution: Send only changed data, not entire datasets
- Solution: Use appropriate data types (numbers vs strings)
Issue: Complex data structures not transferring correctly
- Solution: Use MATLAB structs (automatically converted to JSON)
- Solution: Avoid nested cell arrays; use struct arrays instead
- Solution: Test data transfer with simple examples first
Issue: Styling not appearing correctly
- Solution: Verify CSS is in
<style> block inside <head>
- Solution: Check for CSS syntax errors
- Solution: Use browser dev tools to inspect computed styles
Additional Resources
- MATLAB Documentation:
doc uihtml
- HTML/CSS/JavaScript: MDN Web Docs
- Event handling:
doc sendEventToHTMLSource
- Figure creation:
doc uifigure
- Debugging: Use browser Developer Tools (F12)
Related Skills
- matlab-uihtml-design: visual design styles (Clean, Material, Cosmic Dark, etc.) with ready-to-use HTML templates and design specs. Use it to style your uihtml controls.