What Is D3.js?
LibraryD3.js (Data-Driven Documents) is a low-level JavaScript library for building custom, data-bound visualisations with SVG, Canvas and HTML. Unlike chart libraries it does not ship chart types; it provides scales, axes, shapes, layouts and transitions that developers compose into bespoke graphics, from newsroom charts to network diagrams.
Detect D3.js on any website:
Why D3.js Matters
Libraries and third-party services are where a site's real behaviour lives: analytics, payments, auth, UI components and animation all arrive as scripts the browser can see. Knowing that D3.js is on a page tells you about its dependencies, its privacy footprint, and sometimes its build pipeline — and it helps you tell template-driven stacks from hand-assembled ones. Our detector is scanning the web for D3.js signals continuously — real examples appear below as they're discovered.
Does D3.js Mean a Site Was Built With AI?
D3.js on its own does not prove AI involvement.
Standard modern web tooling — its presence alone doesn't indicate AI-assisted development.
How this feeds the score: builder fingerprints, bundle artifacts and AI-tool traces are weighed separately from stack context like frameworks, libraries and hosting. The full breakdown is on How scores work.
How Websites Using D3.js Work
- Selection-and-join model that binds data arrays to DOM elements
- Scales, axes, shapes, geo projections and force-directed layouts as modules
- Transitions and interpolators for animated updates
- Modular packages (d3-scale, d3-shape, ...) usable without the full bundle
Best Practices When Working With D3.js
Based on patterns in our scan dataset and the detection evidence tiers.
- →Start by running a D3.js detection scan on any URL you're evaluating — the 80+ signal engine returns a confidence score plus the exact markers it matched, which beats reading view-source by hand.
- →Cross-check the result against the full detection evidence in /how-scores-work — confidence tiers tell you whether a match is strong (headers + scripts) or circumstantial (a single HTML pattern).
How we detect D3.js — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
How Our Detector Identifies D3.js
Our scanner analyzes multiple layers of a website's technical fingerprint to detect D3.js usage.
- Script URLs referencing d3.js, d3.min.js or d3js.org
- SVG elements with D3's generated class and attribute patterns driven by a global `d3` object
Websites Built With D3.js
Real sites detected by our scanner
No examples detected yet — scan any D3.js website to add it.
Frequently Asked Questions About D3.js
What is D3.js?+
D3.js (Data-Driven Documents) is a low-level JavaScript library for building custom, data-bound visualisations with SVG, Canvas and HTML. Unlike chart libraries it does not ship chart types; it provides scales, axes, shapes, layouts and transitions that developers compose into bespoke graphics, from newsroom charts to network diagrams.
Does D3.js mean a website was built with AI?+
D3.js on its own does not prove AI involvement. Standard modern web tooling — its presence alone doesn't indicate AI-assisted development.
Why does D3.js matter?+
Libraries and third-party services are where a site's real behaviour lives: analytics, payments, auth, UI components and animation all arrive as scripts the browser can see. Knowing that D3.js is on a page tells you about its dependencies, its privacy footprint, and sometimes its build pipeline — and it helps you tell template-driven stacks from hand-assembled ones. Our detector is scanning the web for D3.js signals continuously — real examples appear below as they're discovered.
How do we detect D3.js?+
Our scanner checks for these signals: Script URLs referencing d3.js, d3.min.js or d3js.org; SVG elements with D3's generated class and attribute patterns driven by a global `d3` object. Each match contributes to a confidence score, and the full evidence tiers are documented at /how-scores-work.
How many websites using D3.js are in the database?+
We're still collecting live examples of D3.js — scan any URL you suspect uses it to add it to the dataset.
What are the typical characteristics of a D3.js website?+
Selection-and-join model that binds data arrays to DOM elements. Scales, axes, shapes, geo projections and force-directed layouts as modules. Transitions and interpolators for animated updates. Modular packages (d3-scale, d3-shape, ...) usable without the full bundle
Related Tools & Technologies
Other libraries and services we detect
Ready to put D3.js detection to work?
You now know what D3.js is, why it matters, how to spot it, and where the detection signals come from. The next step is using that knowledge on a real URL — yours, a competitor's, or a prospect's.