RawGit

RawGit is a service that delivers raw files directly from GitHub, Bitbucket, or GitLab with correct Content-Type headers.

CDN & Delivery185 eligible domainsrawgit.com
Broader database observations
Share of tracked domains0.1%
Avg confidence100%
30-day observation change0

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 RawGit?

RawGit is a cdn & delivery technology. RawGit is a service that delivers raw files directly from GitHub, Bitbucket, or GitLab with correct Content-Type headers.. Currently detected on 185 quality-eligible websites in the Glympt index.

Official website: rawgit.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.

AR · 3AU · 3BR · 4DE · 4ES · 6FR · 10GB · 14IT · 7SE · 3US · 25

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 RawGit?

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 RawGit 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 RawGit market growth?

Our database recorded a net change of 0 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.