Skip to main content
SimilarExport ZIP
100%

Holy Moly:Beautiful Viz

✓ Published0🌍 Public
NNita
Last edited Jan 30, 2024
Created on Jan 30, 2024

This visualization displays 50 natural cubic splines that form a dynamic, morphing line field. Every two seconds, the dataset is regenerated as random walks, and the paths smoothly transition to their new positions using Svelte's `tweened` motion with `interpolatePath`, `cubicOut` easing, and a one-second duration. Each SVG path is rendered with a semi-transparent random RGB stroke, layered over a responsive full-viewport canvas. The code leverages d3's `line`, `curveNatural`, `scaleLinear`, and `extent` functions to compute and scale the coordinate systems.

AI-generated description

Random lines with inbuilt responsiveness.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Svelte + D3: Random Lines

This visualization shows 100 randomly generated lines that smoothly transition to new shapes every second. Each line is a natural cubic spline through a random walk of 100 points, rendered as a stroked SVG path with semi-transparent coloring. The animation leverages the Svelte `tweened` motion primitive combined with the `d3-interpolate-path` library to morph between path states. Svelte's reactive bindings to window dimensions and D3's `scaleLinear` and `extent` functions keep the chart responsive and properly scaled as the viewport changes.

CCurran Kelleher
80% match
Loading thumbnail…

Svelte + D3: Random Lines

This example generates fifty random-walk lines, each drawn as a smooth, semi-transparent colored path that re-randomizes every two seconds. Svelte’s `tweened` motion and `interpolatePath` from d3-interpolate-path animate the transition between the old and new line shapes. The code uses D3’s `scaleLinear`, `line`, and `curveNatural` to map data points to SVG coordinates, while Svelte’s `bind:clientWidth` and `bind:clientHeight` make the visualization responsive to container size.

MMatthias Stahl
78% match
Loading thumbnail…

Svelte app

A real-time animated wave of 50 circles and connecting lines renders in an SVG, with vertical positions computed by a sinusoidal function of time. The Svelte 3 component uses `requestAnimationFrame` to update the array of numbers each frame, while `{#each}` blocks bind the data to circle and line elements. This experiment demonstrates reactive updates in Svelte for smooth, declarative animation without explicit DOM manipulation.

CCurran Kelleher
74% match
Loading thumbnail…

Fork of Svelte + D3: Reveal area chart

This example presents a colorful line and area chart that visualizes sequential numeric data across 63 points, with the area beneath the curve filled in pink. The visualization reveals itself through a sliding animation: a dark rectangle moves from left to right across the chart, initially allowing viewers to see only the line, then progressively uncovering the filled area beneath. The implementation uses Svelte for reactive bindings and D3 v7 APIs including `scaleLinear`, `extent`, `line`, `area`, and `curveCatmullRom` for smooth path generation. The SVG rect animation is driven by a CSS keyframe that translates its position across the viewport.

NNita
72% match
Loading thumbnail…

Random lines

The visualization displays a dense field of 800 randomly colored, semi-transparent lines radiating from a central point, creating a chaotic, abstract burst of color. Each line is positioned using trigonometric functions with randomized radius values, and its stroke color is generated via the `rgb()` function with random values. The SVG elements are appended using D3.js v6, with the main group rotated 90 degrees and translated to center the composition. The lines are rendered statically with a stroke-width of 5 and opacity of 0.5, creating overlapping visual depth.

NNita
71% match
Loading thumbnail…

Hello Vizhub

Twelve colored circles, each loaded from a CSV dataset with id, x, y, radius, and fill, animate into view by growing from a radius of zero, while ten blue squares bounce between two positions. The visualization uses D3’s data join with explicit enter, update, and exit transitions, combining a slow two-second ease for entrance and a fast linear movement for updates. Circles blend with multiplative blending via CSS, and the entire scene renders inside a dynamically sized SVG, relying on d3-transition and d3-selection, with data parsed through d3.csv.

EEJ Fox
71% match
Loading thumbnail…

100,000 dots

This visualization displays 100,000 randomly positioned dots, each with a unique color, opacity, and size, rendered as a single dense field. The dots are generated with D3's `scaleSequential` and `interpolateWarm` for the color palette, `randomExponential` for radius distribution, and uniform random functions for coordinates and opacities. The scene is drawn using the Regl library on a WebGL canvas, with a custom fragment shader applying antialiasing and per-dot blending for a smooth, overlapping presentation.

NNita
70% match
Loading thumbnail…

Fork of Fork of Hello VizHub : Making circles 1

This example displays a scattered field of semi-transparent, randomly colored circles over a dark background, with each circle’s position and radius derived from random numbers. The visualization uses D3 v5 to generate the SVG elements, employing `scaleLinear` for the x and y axes, `scaleOrdinal` with `schemeCategory10` for potential color mapping, and manually computed `rgb()` strings for fill and stroke. The code also includes a large embedded SVG path, though it is not rendered in the visible output.

NNita
70% match