Handlebars

Handlebars is a JavaScript library used to create reusable webpage templates.

JavaScript Framework1,788 eligible domainshandlebarsjs.com
Broader database observations
Share of tracked domains0.8%
Avg confidence100%
30-day observation change+11

These statistics include detections outside the stricter public preview. Counts can exceed the qualifying domains above; they describe our coverage, not internet-wide market share.

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What is Handlebars?

Handlebars is a javascript framework technology. Handlebars is a JavaScript library used to create reusable webpage templates.. Currently detected on 1,788 quality-eligible websites in the Glympt index.

Official website: handlebarsjs.com.

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Estimated countries across broader detections

Includes observations below the public country preview’s confidence and quality thresholds. These are website geography signals, not verified business locations.

AU · 27BR · 29DE · 100ES · 50FR · 54GB · 99IT · 66NL · 23SE · 44US · 178

Related technologies

Co-detected in the broader database

Counts include broader stored detections, without the public preview’s quality filters. Co-detection describes an observation, not a recommendation or integration guarantee.

Frequently asked questions

How does Glympt detect Handlebars?

By scanning headers, HTML, JS globals, meta tags, and cookies. Detection is automated and non-intrusive.

What does the score measure?

The average detector score for Handlebars is 100/100. It measures matching evidence, not independently verified accuracy.

Can I export?

Yes. Pro and Business plans include CSV export with full filtering.

Refresh rate?

Observation dates are shown on each report. Refresh timing varies with crawler capacity; you can request a fresh scan from the dashboard.

Does this measure Handlebars market growth?

Our database recorded a net change of 11 observations in 30 days. New coverage and rescans affect this number; it is not a measure of market growth or migrations.

What is "confidence"?

A 0–100 detector score based on matching signals. Stronger evidence increases the score, but false positives and missed technologies remain possible.