HTML preprocessors can make writing HTML more powerful or convenient. For instance, Markdown is designed to be easier to write and read for text documents and you could write a loop in Pug.
In CodePen, whatever you write in the HTML editor is what goes within the <body>
tags in a basic HTML5 template. So you don't have access to higher-up elements like the <html>
tag. If you want to add classes there that can affect the whole document, this is the place to do it.
In CodePen, whatever you write in the HTML editor is what goes within the <body>
tags in a basic HTML5 template. If you need things in the <head>
of the document, put that code here.
The resource you are linking to is using the 'http' protocol, which may not work when the browser is using https.
CSS preprocessors help make authoring CSS easier. All of them offer things like variables and mixins to provide convenient abstractions.
It's a common practice to apply CSS to a page that styles elements such that they are consistent across all browsers. We offer two of the most popular choices: normalize.css and a reset. Or, choose Neither and nothing will be applied.
To get the best cross-browser support, it is a common practice to apply vendor prefixes to CSS properties and values that require them to work. For instance -webkit-
or -moz-
.
We offer two popular choices: Autoprefixer (which processes your CSS server-side) and -prefix-free (which applies prefixes via a script, client-side).
Any URLs added here will be added as <link>
s in order, and before the CSS in the editor. You can use the CSS from another Pen by using its URL and the proper URL extension.
You can apply CSS to your Pen from any stylesheet on the web. Just put a URL to it here and we'll apply it, in the order you have them, before the CSS in the Pen itself.
You can also link to another Pen here (use the .css
URL Extension) and we'll pull the CSS from that Pen and include it. If it's using a matching preprocessor, use the appropriate URL Extension and we'll combine the code before preprocessing, so you can use the linked Pen as a true dependency.
JavaScript preprocessors can help make authoring JavaScript easier and more convenient.
Babel includes JSX processing.
Any URL's added here will be added as <script>
s in order, and run before the JavaScript in the editor. You can use the URL of any other Pen and it will include the JavaScript from that Pen.
You can apply a script from anywhere on the web to your Pen. Just put a URL to it here and we'll add it, in the order you have them, before the JavaScript in the Pen itself.
If the script you link to has the file extension of a preprocessor, we'll attempt to process it before applying.
You can also link to another Pen here, and we'll pull the JavaScript from that Pen and include it. If it's using a matching preprocessor, we'll combine the code before preprocessing, so you can use the linked Pen as a true dependency.
Search for and use JavaScript packages from npm here. By selecting a package, an import
statement will be added to the top of the JavaScript editor for this package.
Using packages here is powered by esm.sh, which makes packages from npm not only available on a CDN, but prepares them for native JavaScript ESM usage.
All packages are different, so refer to their docs for how they work.
If you're using React / ReactDOM, make sure to turn on Babel for the JSX processing.
If active, Pens will autosave every 30 seconds after being saved once.
If enabled, the preview panel updates automatically as you code. If disabled, use the "Run" button to update.
If enabled, your code will be formatted when you actively save your Pen. Note: your code becomes un-folded during formatting.
Visit your global Editor Settings.
body {
background: #222;
font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;
margin: 0;
padding: 0;
display: block;
text-align: center;
}
(function () {
// Global variables
let scr,
pallette = [],
flame = [],
id,
pd;
// Initializes the screen, color palette, flame array, and the image buffer
function setup() {
scr = dcl.setupScreen(640, 480); // Set up a screen with 640x480 pixels
scr.setBgColor("black"); // Set background color to black
document.body.style.backgroundColor = "black"; // Set page background color
generatePalette(); // Generates a color palette for the flame
initializeFlameArray(); // Set up the flame array
id = new ImageData(scr.width, scr.height); // Initialize screen buffer
}
// Generates a 256-color palette that transitions from red to yellow using HSL
function generatePalette() {
for (let i = 0; i < 255; i++) {
let lightness = i / 255;
let hue = i.map(0, 255, 0, 85); // Map color from red (0 degrees) to yellow (85 degrees) in HSL
pallette.push(HSLtoRGB(hue, 1, lightness)); // Convert HSL to RGB and add to palette
}
}
// Initializes the flame array where the last row is randomized, and all other rows are set to 0
function initializeFlameArray() {
for (let y = 0; y < scr.height; y++) {
let row = [];
for (let x = 0; x < scr.width; x++) {
row.push(y === scr.height - 1 ? dcl.randomi(0, 255) : 0); // Randomize the last row
}
flame.push(row);
}
}
// Main draw loop: calculates flame behavior and renders to the screen
function draw(t) {
randomizeLastRow(); // Randomize the bottom row for dynamic flame effect
propagateFlame(); // Compute flame propagation using neighboring pixels
renderFlame(); // Render flame pixels to the screen
scr.ctx.putImageData(id, 0, 0); // Draw the image data onto the screen
requestAnimationFrame(draw); // Continuously redraw the scene
}
// Randomizes the values in the last row to simulate the flame source
function randomizeLastRow() {
for (let x = 0; x < flame[flame.length - 1].length; x++) {
flame[flame.length - 1][x] = dcl.randomi(0, 255); // Random values for flame source
}
}
// Propagates the flame upward based on neighboring pixel values
function propagateFlame() {
for (let y = 0; y < flame.length - 1; y++) {
for (let x = 0; x < flame[y].length; x++) {
let y1 = (y + 1) % flame.length;
let y2 = (y + 2) % flame.length;
let x1 = (x - 1 + flame[y].length) % flame[y].length;
let x2 = x % flame[y].length;
let x3 = (x + 1 + flame[y].length) % flame[y].length;
// Sum the surrounding pixels and average them for flame propagation
let sum =
(flame[y1][x1] + flame[y1][x2] + flame[y1][x3] + flame[y2][x2]) /
4.02;
flame[y][x] = sum; // Adjust flame height
}
}
}
// Renders the flame onto the image data buffer
function renderFlame() {
for (let y = 0; y < scr.height; y++) {
for (let x = 0; x < scr.width; x++) {
let fy = y % flame.length;
let fx = x % flame[fy].length;
let i = Math.floor(flame[fy][fx]);
let color = pallette[i]; // Fetch the color from the palette
if (!color) continue; // Skip if no color found
// Compute the pixel index in the image data buffer (4 values per pixel: r, g, b, a)
let idx = 4 * (y * scr.width + x);
id.data[idx] = color.r; // Set red value
id.data[idx + 1] = color.g; // Set green value
id.data[idx + 2] = color.b; // Set blue value
id.data[idx + 3] = 255; // Set alpha value to fully opaque
// Check for the logo mask and adjust the flame accordingly
let pr = pd.data[idx];
let pa = pd.data[idx + 3];
if (pr < 64 && pa > 0) {
flame[fy][fx] = dcl.randomi(0, 255); // Intensify flame in the logo region
}
if (pr === 255 && pa === 255) {
id.data[idx] = id.data[idx + 1] = id.data[idx + 2] = 0; // Render logo as black
id.data[idx + 3] = 255; // Full opacity
}
}
}
}
// Converts HSL color format to RGB (helper function for palette generation)
function HSLtoRGB(h, s, l) {
let r = 0,
g = 0,
b = 0;
if (s === 0) {
r = g = b = l; // Achromatic case
} else {
let hp = h / 60;
let c = (1 - Math.abs(2 * l - 1)) * s;
let x = c * (1 - Math.abs((hp % 2) - 1));
if (hp >= 0 && hp <= 1) {
r = c;
g = x;
} else if (hp > 1 && hp <= 2) {
r = x;
g = c;
} else if (hp > 2 && hp <= 3) {
g = c;
b = x;
} else if (hp > 3 && hp <= 4) {
g = x;
b = c;
} else if (hp > 4 && hp <= 5) {
r = x;
b = c;
} else if (hp > 5 && hp <= 6) {
r = c;
b = x;
}
let m = l - c / 2;
r += m;
g += m;
b += m;
}
return dcl.color(
Math.round(r * 255),
Math.round(g * 255),
Math.round(b * 255)
); // Convert to RGB
}
// Load the fire logo mask (logo image encoded in base64)
let canvas = document.createElement("canvas");
let ctx = canvas.getContext("2d");
let img = new Image();
img.src =
"data:image/png;base64,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";
img.addEventListener("load", function () {
canvas.width = img.width;
canvas.height = img.height;
ctx.drawImage(img, 0, 0);
pd = ctx.getImageData(0, 0, img.width, img.height);
setup();
draw();
});
})();
Also see: Tab Triggers