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  1. Stackups
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  5. F# vs Go

F# vs Go

OverviewDecisionsComparisonAlternatives

Overview

Golang
Golang
Stacks24.0K
Followers13.9K
Votes3.3K
GitHub Stars130.7K
Forks18.4K
F#
F#
Stacks779
Followers556
Votes399
GitHub Stars2.2K
Forks316

F# vs Go: What are the differences?

Introduction

F# and Go are two programming languages that have gained popularity in recent years. While both languages have their own strengths and weaknesses, there are several key differences that set them apart. In this article, we will explore the main differences between F# and Go.

  1. Type System: One of the main differences between F# and Go is their type systems. F# is a statically typed language that supports type inference, allowing developers to write code without explicitly specifying types. On the other hand, Go is a statically typed language that requires explicit type declarations for variables and function parameters. This difference in type systems can have an impact on the development process and the way code is written.

  2. Concurrency Model: Another significant difference between F# and Go is their concurrency models. F# relies on the concept of functional programming and immutability to handle concurrency. It provides features such as asynchronous workflows and the mailboxes-based actor model. In contrast, Go has built-in support for concurrency through goroutines and channels. Goroutines allow developers to write concurrent code easily, while channels provide a way to communicate and synchronize data between goroutines. This difference in concurrency models can affect the performance and scalability of applications written in these languages.

  3. Error Handling: Error handling is another area where F# and Go differ. F# uses a combination of pattern matching and the Option type to handle errors and avoid exceptions. This approach promotes functional programming principles and can result in more robust and maintainable code. On the other hand, Go relies on the use of explicit error values and the panic and recover mechanism. This approach allows for more fine-grained control over error handling but can make the code more verbose and error-prone.

  4. Performance: When it comes to performance, Go is generally considered to be faster than F#. Go is designed to be a systems programming language and offers features such as low-level memory management and efficient concurrency support, which can result in high-performance applications. F#, on the other hand, is a high-level language that is optimized for productivity and expressiveness. While F# can still achieve good performance, it may not be as performant as Go in certain scenarios.

  5. Ecosystem and Community: The ecosystem and community around a programming language can have a significant impact on its adoption and support. Go has a large and active community with a rich ecosystem of libraries and frameworks. It has gained popularity in the web development space, and many well-known companies are using Go for their production systems. F#, on the other hand, has a smaller community and a more focused use case. It is commonly used in the .NET ecosystem and is well-suited for functional programming and data manipulation tasks.

  6. Tooling: Tooling is another area where F# and Go differ. Go comes with a comprehensive set of tools out of the box, including a build system, package manager, and testing framework. This makes it very easy to set up a Go project and start developing. F#, being part of the .NET ecosystem, benefits from the extensive tooling available for .NET developers. This includes the Visual Studio IDE, which provides a rich development environment with features like code completion, debugging, and profiling.

In summary, F# and Go have several key differences in their type systems, concurrency models, error handling approaches, performance characteristics, ecosystems, and tooling. These differences make each language suitable for different use cases and development scenarios.

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Advice on Golang, F#

Ido
Ido

Mar 6, 2020

Decided

When developing a new blockchain, we as a team chose Go lang over Java and other candidates, due to Go being (a) natively suited to concurrency - there are primitives in the language itself (goroutines, channels) that really help with reasoning about concurrency (b) super fast - build time, running, testing are all much faster that Java, this gives a far superior developer experience (c) shorter and stricter than Java - code is much shorter (less verbose), and there is usually one good way to do things, and even the code formatter that is bundled with Go is very opinionated - over a short time this makes reading other people's code far smoother than having to deal with different styles.

You should be aware that Go presently (v1.13) lacks Generics.

267k views267k
Comments
Ítalo
Ítalo

VP Platform Engineering at Lykon

Feb 19, 2020

Decided

We decided to use python to write our ETLs and import them into metabase via a lambda. Before python we tried using Go, but overall go was way more verbose than Python when writing the ETLs. Go also had some issues managing memory when using the S3 upload manager library. This was a deal breaker for us that made us switch to Python.

In the end the solution was much cleaner and maintainable.

261k views261k
Comments
Mohamed
Mohamed

Software Engineer at YottaHQ Inc.

Dec 2, 2019

Decided

PHP is easy to learn and you can get up and running in no time, available on almost all hosting providers and you can find developers easily. It has some great frameworks for building your backend like Symfony and Laravel. However, it can be challenging when running an enterprise and needs some adjustments, very recommended for starting a new project or startup.

208k views208k
Comments

Detailed Comparison

Golang
Golang
F#
F#

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

F# is a mature, open source, cross-platform, functional-first programming language. It empowers users and organizations to tackle complex computing problems with simple, maintainable and robust code.

Statistics
GitHub Stars
130.7K
GitHub Stars
2.2K
GitHub Forks
18.4K
GitHub Forks
316
Stacks
24.0K
Stacks
779
Followers
13.9K
Followers
556
Votes
3.3K
Votes
399
Pros & Cons
Pros
  • 557
    High-performance
  • 398
    Simple, minimal syntax
  • 365
    Fun to write
  • 305
    Easy concurrency support via goroutines
  • 273
    Fast compilation times
Cons
  • 43
    You waste time in plumbing code catching errors
  • 25
    Verbose
  • 23
    Packages and their path dependencies are braindead
  • 16
    Google's documentations aren't beginer friendly
  • 15
    Dependency management when working on multiple projects
Pros
  • 53
    Pattern-matching
  • 42
    Makes programming fun again
  • 38
    Type providers
  • 32
    Delightful
  • 30
    Frictionless
Cons
  • 3
    Microsoft tend to ignore F# preferring to hype C#
  • 2
    Interop between C# can sometimes be difficult
  • 1
    Hype
  • 1
    Type Providers can be unstable in larger solutions
Integrations
Revel
Revel
Martini
Martini
No integrations available

What are some alternatives to Golang, F#?

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

Swift

Swift

Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.

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