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  5. Stan vs Streamlit

Stan vs Streamlit

OverviewComparisonAlternatives

Overview

Stan
Stan
Stacks72
Followers27
Votes0
GitHub Stars2.7K
Forks379
Streamlit
Streamlit
Stacks403
Followers407
Votes12
GitHub Stars42.1K
Forks3.9K

Stan vs Streamlit: What are the differences?

What is 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.

What is Streamlit? A Python app framework built specifically for Machine Learning and Data Science teams. It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

Stan and Streamlit can be primarily classified as "Machine Learning" tools.

Stan and Streamlit are both open source tools. It seems that Streamlit with 2.73K GitHub stars and 184 forks on GitHub has more adoption than Stan with 1.66K GitHub stars and 285 GitHub forks.

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Detailed Comparison

Stan
Stan
Streamlit
Streamlit

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.

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

-
Free and open source; Build apps in a dozen lines of Python with a simple API; No callbacks; No hidden state; Works with TensorFlow, Keras, PyTorch, Pandas, Numpy, Matplotlib, Seaborn, Altair, Plotly, Bokeh, Vega-Lite, and more
Statistics
GitHub Stars
2.7K
GitHub Stars
42.1K
GitHub Forks
379
GitHub Forks
3.9K
Stacks
72
Stacks
403
Followers
27
Followers
407
Votes
0
Votes
12
Pros & Cons
No community feedback yet
Pros
  • 11
    Fast development
  • 1
    Fast development and apprenticeship
Integrations
Python
Python
Julia
Julia
R Language
R Language
Linux
Linux
MATLAB
MATLAB
GNU Bash
GNU Bash
Python
Python
Plotly.js
Plotly.js
PyTorch
PyTorch
Pandas
Pandas
Bokeh
Bokeh
Keras
Keras
NumPy
NumPy
Matplotlib
Matplotlib
TensorFlow
TensorFlow
Altair GraphQL
Altair GraphQL

What are some alternatives to Stan, Streamlit?

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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