This site provides side by side comparison of several programming languages and their different compilers or runtime

Benchmark programs are measured sequentially on a dedicated runner. Each run records its machine and compiler versions. Compare numbers within the same run.

Measurements run weekly or on request. Languages that pass publish their results on GitHub Pages, even when another language fails. Missing languages are listed above. Code changes also run correctness checks on GitHub-hosted runners.

Main goals:

• Compare performance differences between different languages. Note that implementations might be using different optimizations, e.g. with or without multithreading, please do read the source code to check if it's a fair comparision or not.
• Compare performance differences between different compilers or runtimes of the same language with the same source code.
• Facilitate benchmarking on real server environments as nowadays more and more applications are deployed in hosted cloud VMs or docker/podman(via k8s). It's likely to get a very different result from what you get on your dev machine. You can simply use the tool to generate numbers on your PROD host environment to check if everything works as expected.
• A reference for CI setup / Dev environment setup / package management setup for different languages. Refer to Github action
• It focuses more on new programming languages, classic programming languages that are covered by CLBG receive limited or no maintainence, based on their popularity.