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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Machine Learning Tools
  5. DataRobot vs Stan

DataRobot vs Stan

OverviewComparisonAlternatives

Overview

DataRobot
DataRobot
Stacks27
Followers83
Votes0
Stan
Stan
Stacks72
Followers27
Votes0
GitHub Stars2.7K
Forks379

Stan vs DataRobot: What are the differences?

Stan: A Probabilistic Programming Language. A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business; DataRobot: Lets you accelerate your AI success today with cutting-edge machine learning and the team you have in place. It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation.

Stan and DataRobot belong to "Machine Learning Tools" category of the tech stack.

Stan is an open source tool with 1.64K GitHub stars and 283 GitHub forks. Here's a link to Stan's open source repository on GitHub.

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CLI (Node.js)
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Manual

Detailed Comparison

DataRobot
DataRobot
Stan
Stan

It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation.

A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.

Automated machine learning; Data accuracy; Speed; Ease of use; Ecosystem of algorithms; Data preparation; ETL and visualization tools; Integration with enterprise security technologies; Numerous database certifications; Distributed and self-healing architecture; Hadoop cluster plug and play
-
Statistics
GitHub Stars
-
GitHub Stars
2.7K
GitHub Forks
-
GitHub Forks
379
Stacks
27
Stacks
72
Followers
83
Followers
27
Votes
0
Votes
0
Integrations
Tableau
Tableau
Domino
Domino
Looker
Looker
Trifacta
Trifacta
Cloudera Enterprise
Cloudera Enterprise
Snowflake
Snowflake
Qlik Sense
Qlik Sense
AWS CloudHSM
AWS CloudHSM
Python
Python
Julia
Julia
R Language
R Language
Linux
Linux
MATLAB
MATLAB
GNU Bash
GNU Bash

What are some alternatives to DataRobot, Stan?

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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