Formality
kind
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Formality | kind | |
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29 | 182 | |
2,014 | 12,750 | |
- | 1.4% | |
9.9 | 8.8 | |
over 2 years ago | 8 days ago | |
JavaScript | Go | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Formality
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A dependently typed language for proofs that you can implement in one day
Also, my current work is using Kind as a foundation, the purpose of this language is exactly what you have asked for, give a check on https://github.com/uwu-tech/Kind.
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Kind: A Modern Proof Language
Kind has a "how I learned to stop worrying and love the `Type:Type`" vibe. That doesn't make it invalid as a proof language. It just inverts the priority: instead of consistency being the default and expressivity being opt-in (as in Agda, with the `type-in-type` pragma), it is expressive by default, and consistency is an opt-in. I strongly believe that is the right way. We plan to add opt-in termination (thus consistency) checkers, it is just not an immediate priority, but the language is completely ready for that. About `Type in Type` specifically, keep in mind that there are consistent, interesting type theories that feature `Type in Type`. So it isn't problematic in itself, and removing it seems wrong.
About erasure, you can flag an argument as computationally irrelevant by writing `` instead of `(x: A)`. So, for example, in the [Vector/concat.kind](https://github.com/uwu-tech/Kind/blob/master/base/Vector/con...) file, `A`, `n` and `m` are erased. As such, the length of the vector doesn't affect the runtime. As a good practice, you may also write `f` instead of `f(x)` syntax for erased arguments, but that is optional.
> TL;DR -- I think the language looks nice, and the compile to JS (from what I read of the Formcore source) looks to be well done. Also, the docs that are present are well presented in a non-academic way that I find pretty readable.
Thanks for the kind words. We put a lot of effort on the compilers and, while there is still a lot to improve, I'm confident they're ahead of all the other languages, by far.
- Kind has an universal compiler that targets several back-ends. [...] For example, to generate a QuickSort function in JavaScript, just type kind List.quicksort --js. You may never write code in any other language! Available targets: --js, --scm.
- Kind - A modern proof language
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Kind-Lang: contributions are welcome!
Kind is a functional, general-purpose programming language featuring theorems and proofs. It has the smallest core, a pretty solid JavaScript and Scheme compiler (seriously, check how clean is the generated kind.js), and a syntax that is a middle ground between Haskell and TypeScript, in an attempt to make it more accessible.
I'm writing CONTRIBUTE.md right now.
- First-class modules with self types
kind
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How to distribute workloads using Open Cluster Management
To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:
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15 Options To Build A Kubernetes Playground (with Pros and Cons)
Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.
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Exploring OpenShift with CRC
Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.
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K3s Traefik Ingress - configured for your homelab!
I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.
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Mykube - simple cli for single node K8S creatiom
Features compared to https://kind.sigs.k8s.io/
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Hacking in kind (Kubernetes in Docker)
Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.
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Choosing the Next Step: Docker Swarm or Kubernetes After Mastering Docker?
Check out KinD
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K3s – Lightweight Kubernetes
If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.
You can also use k3s; it's hella easy to get started with and it works great.
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Two approaches to make your APIs more secure
We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.
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observing logs from Kubernetes pods without headaches
yes I know there is lens, but it does not allow me to see logs of multiple pods at same time and what is even more important it is not friendly for ephemeral clusters - in my case with help of kind I am recreating whole cluster each time from scratch
What are some alternatives?
reach-lang - Reach: The Safest and Smartest DApp Programming Language
minikube - Run Kubernetes locally
elixir-maybe - A simple implementation of the Maybe type in Elixir, intended as an introduction to Functors, Applicative Functors and Monads
k3d - Little helper to run CNCF's k3s in Docker
rado - Turing machine in Idris, with some cool types
lima - Linux virtual machines, with a focus on running containers
apalache - APALACHE: symbolic model checker for TLA+ and Quint
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
plutus - The Plutus language implementation and tools
colima - Container runtimes on macOS (and Linux) with minimal setup
FormCoreJS - A minimal pure functional language based on self dependent types.
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...