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Market/Categories/Developer & AI Platform/ML5.js

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

ML5.jsml5js.org

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformml5js.orgTracked since 2026-08-191 discovery source
3.8KBacklinks
1.2KReferring domains
26Domain authority
-0.7%Referring domains · 90 days

Authority & distribution

How strong is ML5.js’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

3.8KCurrent snapshot

Referring domains

1.2KCurrent snapshot

Authority

26Domain authority · category median 22

90-day move

-0.7%Referring domains, last 90 days
At 26, ML5.js sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where ML5.js ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending ML5.js traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What ML5.js is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“ML5.js”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://ml5js.org

Observed across 1 discovery source.

Research questions

What the evidence answers about ML5.js.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What problem does ML5.js solve for its users?

ML5.js simplifies machine learning for the web by making AI algorithms and models approachable and accessible in the browser. It provides tools that build on TensorFlow.js with no other external dependencies, aimed at a broad audience including artists, creative coders, and students.

What can ML5.js be used for, and what specific AI capabilities does it offer?

ML5.js is used for building and exploring AI applications in the browser, with capabilities including body pose estimation, hand-skeleton finger tracking, facial landmark detection, image content recognition, sound classification, and training custom neural networks.

What features or key modules does the ML5.js library include?

The ML5.js library includes key modules and features such as BodyPose for pose estimation, HandPose for hand tracking, FaceMesh for facial detection, ImageClassifier for image recognition, SoundClassifier for audio analysis, and ml5 NeuralNetwork for training custom models.

Who is ML5.js designed for?

ML5.js is designed for a broad audience of artists, creative coders, and students, making machine learning approachable for creative and educational purposes in the web environment.

What is ML5.js?

ML5.js is a friendly, open-source machine learning library for the web that simplifies AI tool selection. It provides access to machine learning algorithms and models directly in the browser, building on TensorFlow.js.

5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full ML5.js intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which one of them does it, and the page they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured