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  1. Stackups
  2. Application & Data
  3. Languages
  4. Languages
  5. Clojure vs RapidMiner

Clojure vs RapidMiner

OverviewComparisonAlternatives

Overview

Clojure
Clojure
Stacks1.9K
Followers1.4K
Votes1.1K
GitHub Stars10.7K
Forks1.5K
RapidMiner
RapidMiner
Stacks36
Followers65
Votes0
GitHub Stars0
Forks0

Clojure vs RapidMiner: What are the differences?

Clojure: A dynamic programming language that targets the Java Virtual Machine. Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system; RapidMiner: Data Science, Reimagined. Prep data, create predictive models & operationalize analytics within any business process. RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Clojure belongs to "Languages" category of the tech stack, while RapidMiner can be primarily classified under "Data Science Tools".

Clojure is an open source tool with 7.89K GitHub stars and 1.25K GitHub forks. Here's a link to Clojure's open source repository on GitHub.

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Detailed Comparison

Clojure
Clojure
RapidMiner
RapidMiner

Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system.

It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

-
Graphical user interface; Analysis processes design; Multiple data management methods; Data from file, database, web, and cloud services; In-memory, in-database and in-Hadoop analytics; Application templates; -D graphs, scatter matrices, self-organizing map; GUI or batch processing
Statistics
GitHub Stars
10.7K
GitHub Stars
0
GitHub Forks
1.5K
GitHub Forks
0
Stacks
1.9K
Stacks
36
Followers
1.4K
Followers
65
Votes
1.1K
Votes
0
Pros & Cons
Pros
  • 118
    It is a lisp
  • 101
    Concise syntax
  • 100
    Persistent data structures
  • 90
    jvm-based language
  • 89
    Concurrency
Cons
  • 11
    Cryptic stacktraces
  • 5
    Need to wrap basically every java lib
  • 4
    Toxic community
  • 3
    Good code heavily relies on local conventions
  • 3
    Slow application startup
No community feedback yet
Integrations
Java
Java
Java
Java
MATLAB
MATLAB
Python
Python
MongoDB
MongoDB
Groovy
Groovy
Zapier
Zapier
R Language
R Language
HTML5
HTML5

What are some alternatives to Clojure, RapidMiner?

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!

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.

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.

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