-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Sure, but this is still going to be pretty limited when detecting non-PHP languages. How are you going to detect a language which puts no extra headers in HTTP response and has no associated extensions?
But, luckily for us, w3techs lets you check individual websites... and the data is often wrong or missing
github on server side is Javascript! https://w3techs.com/sites/info/github.com (it is actually Ruby)
Djagoproject.com on server side is unknown! https://w3techs.com/sites/info/djangoproject.com (it is actually Django, which is a Python web framework: https://github.com/django/djangoproject.com)
microsoft.com was using PHP and WordPress "unil recently" https://w3techs.com/sites/info/microsoft.com
gitlab.com is "ASP.NET, Python and Ruby (on subdomain) https://w3techs.com/sites/info/gitlab.com
google.com, youtube.com and amazon.com are unknown https://w3techs.com/sites/info/google.com etc..
========
I stand by my opinion that w3techs is junk when determining types of server-side language. The only reason there are so much PHP is because PHP is the biggest major language left which is easy to detect. And they hide the low quality of the results it by not including "unknown" category in the graph -- with that category, it would be much clearer how bad their detection works.