ride VS julia

Compare ride vs julia and see what are their differences.

Our great sponsors
  • Syncfusion - See why our products are consistently getting 4.6 out of 5 stars by your peers.
  • Scout APM - A developer's best friend. Try free for 14-days
  • Nanos - Run Linux Software Faster and Safer than Linux with Unikernels
ride julia
2 107
94 36,762
- 2.0%
7.6 9.9
1 day ago 2 days ago
JavaScript 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.

ride

Posts with mentions or reviews of ride. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-10.

julia

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 2021-10-26.

What are some alternatives?

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

rust-numpy - PyO3-based Rust binding of NumPy C-API

NetworkX - Network Analysis in Python

Numba - NumPy aware dynamic Python compiler using LLVM

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.

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

duckdf - 🦆 SQL for R dataframes, with ducks

py2many - Python to CLike languages transpiler

DFTK.jl - Density-functional toolkit

JET.jl - scratch: experimental code analyzer for Julia, no need for additional type annotations

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

PackageCompiler.jl - Compile your Julia Package

awesome-lisp-companies - Awesome Lisp Companies