That's a very interesting page, but the language ranking is wildly different for "average percentage" (python bottom) and "success rate" (python second). Sounds like there is some subtly about this.
For one-shot responses, the majority of failures are environmental/syntax, which naturally favors interpreted languages. For longer agentic coding sessions, models solve the environment issues quickly and it becomes a fair comparison of who comes up with the smarter solution. You can filter for that here: https://gertlabs.com/rankings?mode=agentic_coding