TheAlgorithms VS go-kit

Is it me or does it not seem very well thought out? Every example I've seen only has implementations in JavaScript and/or Python. I haven't seen any other languages nor a way to search by language. What a "string" means in one language can be completely different in another language. The primitive data types that the project assumes are not really supported across all programming languages.

Also if anyone hasn't already seen them, similar projects already exist and are more complete. E.g.

* https://rosettacode.org/

* https://programming-idioms.org/

* https://the-algorithms.com/

Not to mention LeetCode, CodeWars, Project Euler, Exercism can kinda serve the same role.

Hey Everyone, My name is Rachit Chawla and Its my first blog on dev.to. I am currently a student of Computer Programming and Analysis at Seneca College. Also I'm currently on my co-op term working as an Automation Developer at Ontario Public Service. In this role, I am currently working with PowerShell scripting and Microsoft Azure for automating every manual tasks to reduce workload and increase efficiency. This blog is a part of OSD600 course at Seneca College. I am taking this course as I am big fan of open source and always wanted to contribute in open source projects but I am unaware of proper documentation and standards used for open source contributions. I am hoping to learn all the required stuff by the end of this course and I aim to be one of the 15k contributors to Linux's repo by Linus Torvald. Open Source interests me because it gives developers the power to customise the application they want to use, also a chance to help others and improve their skills. I found https://github.com/TheAlgorithms/Python interesting from the Monthly trending feed on Github as it has all the algorithms which help us improve time complexity and write better codes. I has about 1000 contributors which helped to code all the algorithms in Python which may help others for working or learning purposes. I myself was a student of Data Structures and Algorithms in Python Winter 2023 and hoping to even able to contribute to this repo itself, once I learn more about documentation & proper standards to be followed.

The Algorithms Contains many open source implementations of algorithms. Check it out.

If you want to see implementations of all possible traversal algorithms you can find it here.

The mother load of all algorithms in python is here. dfs/bfs in particular are in the graph section.

There is no one way to learn all these but here are some resources: 1. Gooking algorithms [https://edu.anarcho-copy.org/Algorithm/grokking-algorithms-illustrated-programmers-curious.pdf\] 2. Algorithms in all languages [https://the-algorithms.com/] 3. Node js best practices. [https://github.com/goldbergyoni/nodebestpractices] 4. Refactoring [https://refactoring.guru/] 5. Learn about Clean Code and Clean Architecture from uncle bob. https://www.youtube.com/watch?v=NeXQEJNWO5w&ab_channel=StreamAConStreamingConferences

DSA basics

I would recommend The Algorithms, it comes with descriptions and examples in multiple programming languages.

There's also The Algorithms. Many implementations are unfortunately low quality. The Lua ones (disclaimer: I wrote them) should be fine however.

Python 940 contributors 152k stars

https://github.com/go-kit/kit

. Web backend (with various frameworks available) . Web Assembly (one of them is vugu framework) . Microservices (some frameworks: Go Micro, Go Kit, Gizmo, Kite) . Fragments services (Term mentioned by @jeffotoni in a microservices discussion group) . Lambdas (FaaS example) . Client Server . Terminal applications (using the tview lib) . IoT (some frameworks) . Bots (some here) . Client Applications using Web technology . Desktop using Qt+QML, Native Win Lib (example Qt, Qt widgets, Qml) . Network Applications . Protocol applications . REST Applications . SOAP Applications . GraphQL Applications . RPC Applications . TCP Applications . gRPC Applications . WebSocket Applications . GopherJS (compiles Go to JavaScript)

To implement service discovery in our GoLang microservice we will use GoKit, a toolkit for microservices that provides support to auth, log, service discovery, tracing and more. For this starter code the mod already installed, you can skip this step

My company uses go-kit

For reference my company Go projects are built with (go-kit)[https://gokit.io/] design patterns.

5. kit. The kit framework is a programming toolkit for building robust, reliable, and maintainable microservices in Golang. It is a collection of packages and best practices that offer businesses of all sizes a thorough, reliable, and trustworthy way to create microservices. Go is a fantastic general-purpose language, but microservices need some specialized assistance. As a result, the kit framework offers infrastructure integration, system observability, and Remote Procedure Call (RPC) safety. Golang is a first-class language for creating microservices in any organization thanks to its composition of numerous closely related packages that together form an opinionated framework for building substantial Service-Oriented Architectures (SOAs).It was created with interoperability in mind, and developers are free to select the platforms, databases, components, and architectural styles that best suit their needs. The disadvantage of using go-kit is that it has a high overhead for adding API to the service because of how heavily it relies on interfaces. Documentation Link: https://github.com/go-kit/kit

At first I was confused but this GitHub user/org is completely different from the massively popular go-kit/kit https://github.com/go-kit/kit

https://github.com/go-kit/kit#related-projects

go-micro seems like it does a bit too much, like service discovery and balancing within the framework when that's likely better handled by an Envoy/Istio.

I think the more interesting aspect of this is the framework being used: https://github.com/micro/micro

I haven't dug into it at all yet, but at a glance it looks like it's aiming to do something similar to what Go kit (https://gokit.io/) or Finagle (https://twitter.github.io/finagle/) does, where it gives you a nice abstraction for defining your "service" and then handles all the supplementary aspects (service discovery, serialization, retry/circuit breaker logic, rate limiting, hooks for logging, tracing, and metrics, etc) so you don't have to build those from scratch every time.

I don't know if any of those other frameworks could really be considered very "successful" outside the original organizations they were built for (it seems like the industry has bet more on service meshes and API gateway products), but I'd probably be more inclined to start with one of them than making a new framework.