Julia

251
342
+ 1
94
Stan

34
20
+ 1
0
Add tool

Julia vs Stan: What are the differences?

What is Julia? A high-level, high-performance dynamic programming language for technical computing. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

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.

Julia belongs to "Languages" category of the tech stack, while Stan can be primarily classified under "Machine Learning Tools".

Julia and Stan are both open source tools. It seems that Julia with 22.8K GitHub stars and 3.43K forks on GitHub has more adoption than Stan with 1.61K GitHub stars and 279 GitHub forks.

Pros of Julia
Pros of Stan
    No pros available

    Sign up to add or upvote prosMake informed product decisions

    Cons of Julia
    Cons of Stan
      No cons available

      Sign up to add or upvote consMake informed product decisions

      What is Julia?

      Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

      What is Stan?

      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 companies use Julia?
      What companies use Stan?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Julia?
      What tools integrate with Stan?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Julia and Stan?
      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.
      R Language
      R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
      MATLAB
      Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
      Rust
      Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.
      Go
      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.
      See all alternatives
      Interest over time