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  5. Escher vs Scala

Escher vs Scala

OverviewDecisionsComparisonAlternatives

Overview

Scala
Scala
Stacks11.9K
Followers7.8K
Votes1.5K
GitHub Stars14.4K
Forks3.1K
Escher
Escher
Stacks4
Followers11
Votes0

Escher vs Scala: What are the differences?

Developers describe Escher as "An Elm-like web framework for Julia". A web server for 2016. Escher's built-in web server allows you to create interactive UIs with very little code. It takes care of messaging between Julia and the browser under-the-hood. It can also hot-load code: you can see your UI evolve as you save your changes to it. On the other hand, Scala is detailed as "A pure-bred object-oriented language that runs on the JVM". 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.

Escher and Scala are primarily classified as "Frameworks (Full Stack)" and "Languages" tools respectively.

Escher and Scala are both open source tools. Scala with 11.8K GitHub stars and 2.75K forks on GitHub appears to be more popular than Escher with 312 GitHub stars and 63 GitHub forks.

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Advice on Scala, Escher

Jakub
Jakub

Jan 2, 2020

Decided

We needed to incorporate Big Data Framework for data stream analysis, specifically Apache Spark / Apache Storm. The three options of languages were most suitable for the job - Python, Java, Scala.

The winner was Python for the top of the class, high-performance data analysis libraries (NumPy, Pandas) written in C, quick learning curve, quick prototyping allowance, and a great connection with other future tools for machine learning as Tensorflow.

The whole code was shorter & more readable which made it easier to develop and maintain.

290k views290k
Comments
zen
zen

Sep 26, 2019

Needs advice

Finding the best server-side tool for building a personal information organizer that focuses on performance, simplicity, and scalability.

performance and scalability get a prototype going fast by keeping codebase simple find hosting that is affordable and scales well (Java/Scala-based ones might not be affordable)

306k views306k
Comments

Detailed Comparison

Scala
Scala
Escher
Escher

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.

A web server for 2016. Escher's built-in web server allows you to create interactive UIs with very little code. It takes care of messaging between Julia and the browser under-the-hood. It can also hot-load code: you can see your UI evolve as you save your changes to it.

Statistics
GitHub Stars
14.4K
GitHub Stars
-
GitHub Forks
3.1K
GitHub Forks
-
Stacks
11.9K
Stacks
4
Followers
7.8K
Followers
11
Votes
1.5K
Votes
0
Pros & Cons
Pros
  • 188
    Static typing
  • 178
    Pattern-matching
  • 175
    Jvm
  • 173
    Scala is fun
  • 138
    Types
Cons
  • 11
    Slow compilation time
  • 7
    Multiple ropes and styles to hang your self
  • 6
    Too few developers available
  • 4
    Complicated subtyping
  • 2
    My coworkers using scala are racist against other stuff
No community feedback yet
Integrations
Java
Java
Julia
Julia

What are some alternatives to Scala, Escher?

Node.js

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

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.

Rails

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

PHP

PHP

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

Django

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

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.

Laravel

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

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!

Golang

Golang

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.

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