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Websites using Daphne

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Lead List Exporter

192 live Daphne sites, ready to export.

That's how many Daphne websites are in VersionDB right now, each with its full tech stack, contact details, and social profiles.

Pick a ready-made template, or build your own filters in the Lead List Exporter and pay only for the rows you export.

Open the Lead List Exporter

Just need a few domains? Export up to 10 free from a subset of our crawl.

Start with a list template

Every Daphne website we detected in the United States.

Only sites where a personal, company-hosted email was found.

Sites with at least one personnel LinkedIn profile.

Start with the highest-traffic end of the dataset.

Limit results to Daphne websites on .com domains.

Only sites where an organisation phone number was found.

Create your own

How many websites use Daphne?

We found Daphne on 192 websites in our September 2026 crawl, across 36 countries.

Which countries use Daphne the most?

By number of websites, the top countries are United States (29%, 56 sites), Germany (16%, 31 sites), India (5%, 10 sites), United Kingdom (5%, 9 sites) and Sweden (4%, 8 sites). Together they account for 59% of the 192 Daphne sites we track. 43% of the sites are in English, and .com is the most used domain ending, on 46% of them.

Where are Daphne websites hosted?

The networks carrying the most Daphne sites are Amazon.com, Inc. (49 sites), Hetzner Online GmbH (33 sites) and DigitalOcean, LLC (15 sites).

What technologies are used with Daphne?

Across the 192 Daphne sites we track, the technologies most often found alongside it are Python (100%, 192 sites), TwistedWeb (100%, 192 sites), Zope (100%, 192 sites), Django (51%, 98 sites) and Bootstrap (38%, 72 sites).

Deep Dive

Breakdown of Daphne websites

What else they run, plus their language, hosting network, domain extension and country.

FAQ

Answers drawn from our latest crawl of Daphne websites. Anything else, email us and we will look it up.

Through our own crawl, which checks each site's HTML, scripts and headers rather than relying on self-reported data.