F# VS julia

Compare F# vs julia and see what are their differences.


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F# julia
20 228
2,189 39,705
-0.0% 0.7%
0.7 9.9
7 months ago 5 days ago
F# Julia
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of F#. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-28.


Posts with mentions or reviews of julia. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-25.

What are some alternatives?

When comparing F# and julia you can also consider the following projects:

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

NetworkX - Network Analysis in Python

rust-numpy - PyO3-based Rust bindings of the NumPy C-API

Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.

Numba - NumPy aware dynamic Python compiler using LLVM

ClojureCLR - A port of Clojure to the CLR, part of the Clojure project

Roslyn - The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.

StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)

femtolisp - a lightweight, robust, scheme-like lisp implementation

Dagger.jl - A framework for out-of-core and parallel execution

JLD2.jl - HDF5-compatible file format in pure Julia

awesome-lisp-companies - Awesome Lisp Companies