Orchest vs RapidMiner

Overview

RapidMiner

Stacks36

Followers65

Votes0

GitHub Stars0

Forks0

Orchest

Stacks1

Followers12

Votes0

GitHub Stars4.1K

Forks264

Orchest vs RapidMiner: What are the differences?

What is Orchest? An open source tool for creating data science pipelines. It is a web-based data science tool that works on top of your filesystem allowing you to use your editor of choice. With Orchest you get to focus on visually building and iterating on your pipeline ideas. Under the hood Orchest runs a collection of containers to provide a scalable platform that can run on your laptop as well as on a large scale cloud cluster.

What is RapidMiner? Prep data, create predictive models & operationalize analytics within any business process. It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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

Some of the features offered by Orchest are:

Visual pipeline editor
Executable notebooks
Open source

On the other hand, RapidMiner provides the following key features:

Graphical user interface
Analysis processes design
Multiple data management methods

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Detailed Comparison

RapidMiner	Orchest
It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.	It is a web-based data science tool that works on top of your filesystem allowing you to use your editor of choice. With Orchest you get to focus on visually building and iterating on your pipeline ideas. Under the hood Orchest runs a collection of containers to provide a scalable platform that can run on your laptop as well as on a large scale cloud cluster.
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	Visual pipeline editor; Executable notebooks; Open source
Statistics
GitHub Stars 0	GitHub Stars 4.1K
GitHub Forks 0	GitHub Forks 264
Stacks 36	Stacks 1
Followers 65	Followers 12
Votes 0	Votes 0
Integrations
Java MATLAB Python MongoDB Groovy Zapier R Language HTML5	Pandas dbt Python R Language Matplotlib TensorFlow Streamlit PyTorch Dask Jupyter

What are some alternatives to RapidMiner, Orchest?

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 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

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

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 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

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 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# (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 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 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.