2 live Python 2.5 sites, ready to export.
That's how many Python 2.5 websites are in VersionDB right now, each with its full tech stack, contact details, and social profiles.
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Every Python 2.5 website we detected in Italy.
Only sites where a business, company-hosted email was found.
Sites with at least one business LinkedIn profile.
Start with the highest-traffic end of the dataset.
Limit results to Python 2.5 websites on .com domains.
How many websites use Python 2.5?
We found Python 2.5 on 2 websites in our August 2026 crawl, across 2 countries.
Which countries use Python 2.5 the most?
By number of websites, the top countries are Italy (50%, 1 site) and Russia (50%, 1 site). Together they account for 100% of the 2 Python 2.5 sites we track. 50% of the sites are in English, and .103 is the most used domain ending, on 50% of them.
Where are Python 2.5 websites hosted?
The networks carrying the most Python 2.5 sites are Mavotel LLC (1 site) and Regione Toscana (1 site).
What technologies are used with Python 2.5?
Across the 2 Python 2.5 sites we track, the technologies most often found alongside it are Apache HTTP Server (100%, 2 sites), PHP (100%, 2 sites), Apache Tomcat (50%, 1 site), Debian (50%, 1 site) and Google Analytics (50%, 1 site).
Breakdown of Python 2.5 websites
What else they run, plus their language, hosting network, domain extension and country.
| Technology | Sites |
|---|---|
Apache HTTP Server | 2 |
PHP | 2 |
Apache Tomcat | 1 |
Debian | 1 |
Google Analytics | 1 |
Microsoft Word | 1 |
Subversion | 1 |
Windows Server | 1 |
jQuery | 1 |
|
mod_dav | 1 |
|
mod_jk | 1 |
mod_python | 1 |
mod_wsgi | 1 |
| Language | Sites |
|---|---|
| English | 1 |
| ASN | Sites |
|---|---|
| Mavotel LLC | 1 |
| Regione Toscana | 1 |
| TLD | Sites |
|---|---|
| 103 | 1 |
| ru | 1 |
| Country | Sites |
|---|---|
| 🇮🇹 Italy | 1 |
| 🇷🇺 Russia | 1 |
FAQ
Answers drawn from our latest crawl of Python 2.5 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.