hyperfine VS kubeval

Check out the official hyperfine Github repo

And then I used hyperfine to run the benchmarks on my MacBook Pro 14 M2 Max, and here are the results:

Search "benchmarking tools for linux" and decide that hyperfine is good for what I'm doing. Run Jennifer's new python script against my refactored perl and find that the python is 1.26 times faster for k=3 and 1.47 times faster for k=4. For the Covid-19 sequence, these are both on the order of hundreds of milliseconds.

> It is very possible to write sub 100ms procedures in TS, […]

I will not disagree with this statement because I don’t have a way to test inshellisense right now. Could you (or anyone with a working Node + NPM installation) please install inshellisense and post the actual numbers? Perhaps using a tool like hyperfine (https://github.com/sharkdp/hyperfine).

Yeah, while it's not as thorough as these tools, the method is at least reproducible and sane, and with ~10 or so samples, you get an interval with a nice confidence.

Another through method will be hyperfine[0], yet I wanted to provide a method which requires no installation and can be done in a whim, without jumps and hoops, with the tools already at hand.

[0]: https://github.com/sharkdp/hyperfine

That is native and inbuild but I would suggest below options instead 1. Using lazy's Profile tab instead https://github.com/folke/lazy.nvim 2. Using a dedicated plugin to do this https://github.com/dstein64/vim-startuptime. 3. Using an external program hyperfine is one that I use https://github.com/sharkdp/hyperfine

Fair enough, although might I recommend using hyperfine for your testing? ;p

I don't use it myself, but it seems what are you looking for. https://github.com/instrumenta/kubeval

1. Validate Using ValidKube, you can Validate your YAML files. It can help you fix the indentation also add, remove and rearrange things according to the actual YAML and Kubernetes schema. It is available as a open source repository as Kubeval . https://github.com/instrumenta/kubeval

The idea behind Validkube is to fuse together the capabilities of three other popular open-source projects (kubeval, kubectl-neat & trivy) and present them in a single view, providing users with a way to ensure YAML code hygiene and security, in one place, with just a few clicks of the button.

Kubeval - Well known, It only validates against the given Kubernetes Version but doesn’t provide a migration path

Kubeval and kubeconform are command-line tools that were developed with the intent to validate Kubernetes manifests without the requirement of having a running Kubernetes environment. Because kubeconform is based on kubeval, they operate similarly — verification is performed against pre-generated JSON schemas that are created from the OpenAPI specifications (swagger.json) for each particular Kubernetes version. All that remains to run the schema validation tests is to point the tool executable to a single manifest, directory or pattern.