Julia Computing Raises $24M Series A

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • Numba

    NumPy aware dynamic Python compiler using LLVM

  • NumPy is not a good comparison, because Julia can produce faster code which takes less memory [1]. The Python library that is closest to Julia's spirit is Numba [2], and in fact I was able to learn Numba in a few hours thanks to my previous exposure to Julia. (It probably helps that they are both based on LLVM, unlike NumPy.)

    However, Numba is quite limited because it only works well for mathematical code (it is not able to apply its optimizations to complex objects, like lists of dictionaries), while on the other side Julia's compiler applies its optimizations to everything.

    [1] https://discourse.julialang.org/t/comparing-python-julia-and...

    [2] https://numba.pydata.org/

  • JET.jl

    An experimental code analyzer for Julia. No need for additional type annotations.

  • 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.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Enzyme.jl

    Julia bindings for the Enzyme automatic differentiator

  • Have you explored the SciML landscape at all (?):

    https://sciml.ai/

    There are a number of components here which enable (what I would call) the expression of more advanced models using Julia's nice compositional properties.

    Flux.jl is of course what most people would think of here (one of Julia's deep learning frameworks). But the reality behind Flux.jl is that it is just Julia code -- nothing too fancy.

    There's ongoing work for AD in several directions -- including a Julia interface to Enzyme: https://github.com/wsmoses/Enzyme.jl

    Also, a new AD system which Keno (who you'll see comment below or above) has been working on -- see Diffractor.jl on the JuliaCon schedule (for example).

    Long story short -- there's quite a lot of work going on.

    It may not seem like there is a "unified" package -- but that's because packages compose so well together in Julia, there's really no need for that.

  • Pluto.jl

    🎈 Simple reactive notebooks for Julia

  • I honestly haven't thought much about Jupyter since I moved to Pluto.jl (Observable-style reactive notebook):

    https://github.com/fonsp/Pluto.jl

  • julia

    The Julia Programming Language

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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