julia VS JET.jl

Compare julia vs JET.jl and see what are their differences.

JET.jl

An experimental code analyzer for Julia. No need for additional type annotations. (by aviatesk)
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julia JET.jl
350 13
44,317 684
0.8% -
10.0 9.1
about 19 hours ago 30 days ago
Julia 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.

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 2024-03-06.

JET.jl

Posts with mentions or reviews of JET.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-10.
  • Julia v1.9.0 has been released
    4 projects | /r/programming | 10 May 2023
    For instance, https://github.com/aviatesk/JET.jl is still in its relative infancy, but it's played a big role in detecting quite a few potential bugs that had never been reported to use by users or caught in our testing infrastructure. There's also been a lot developments like interfaces to RR the time travelling debugger https://rr-project.org/ which helps us better understand and catch some very hard to debug non-deterministic bugs.
    4 projects | /r/programming | 10 May 2023
    Yes, tooling around this is being developed in the form of linters (e.g. https://github.com/julia-vscode/StaticLint.jl) and through real compiler integration tools like the very cool https://aviatesk.github.io/JET.jl/dev/ but this is definitely somewhere that the tooling in julia is weaker than in other languages. It seems to be picking up a lot of speed though.
  • Julia Computing Raises $24M Series A
    5 projects | news.ycombinator.com | 19 Jul 2021
    Have you seen Shuhei Tadowaki's work on JET.jl (?)

    If you're curious: https://github.com/aviatesk/JET.jl

    This may seem more about performance (than IDE development) but Shuhei is one of the driving contributors behind developing the capabilities to use compiler capabilities for IDE integration -- and indeed JET.jl contains the kernel of a number of these capabilities.

  • From Julia to Rust
    14 projects | news.ycombinator.com | 5 Jun 2021
    - Pattern matching (sometimes you don't want the overhead of a method lookup)

    [1]: https://github.com/aviatesk/JET.jl

  • Julia is the best language to extend Python for scientific computing
    2 projects | /r/Python | 19 Apr 2021
    You can use the `@code_warntype` macro to check for type stability, which is very helpful for detecting such performance pitfalls on single function level. In the future, https://github.com/aviatesk/JET.jl may give a more powerful way to do it.
  • Julia 1.6: what has changed since Julia 1.0?
    9 projects | news.ycombinator.com | 14 Feb 2021
    Technically it is catching the type error at compile time (but compile time is Just Ahead Of Time). If you want something that feels more like type checking in a statically compiled language, you should definitely check out https://github.com/aviatesk/JET.jl

What are some alternatives?

When comparing julia and JET.jl 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

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.

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

Numba - NumPy aware dynamic Python compiler using LLVM

F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp

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

Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).

LUA - A programming language based upon the lua programming language

PackageCompiler.jl - Compile your Julia Package

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

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