ARarbitrandomuser·Mar 18, 2026
julia version existed , https://github.com/Keno/julia-wasm
not actively developed anymore
In Pyodide: a Python distribution based on WebAssemblyKeno
julia-wasm
JavaScript2019–2026
Keno / julia-wasm
julia-wasm
Running julia on wasm
5Distinct people
6Mentions
0Explicit recommenders
345GitHub stars
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What it is
Running julia on wasm
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year6 dated mentions
Observed mentions: 2019-01-10 22:38:36 UTC to 2026-03-18 05:26:27 UTC.
* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2026 (partial) | 2026-01-01 00:00:00 UTC | 2027-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
6 sourcesHere's an instance of it: https://keno.github.io/julia-wasm/website/repl.htm
and the repo: https://github.com/Keno/julia-wasm
In The missing harm of manual dispatch in JuliaWe don't use containers, we use V8 isolates. V8 is limited to executing JavaScript and WebAssembly, though many other languages can be compiled/transpiled to one of those two. But, we don't run native Linux binaries.
EDIT: It looks like Julia has some Wasm support. I haven't tried it though. https://github.com/Keno/julia-wasm
In Eliminating cold starts with Cloudflare WorkersYes, you can try it out:
https://keno.github.io/julia-wasm/website/repl.htm
Here's the repo:
https://github.com/Keno/julia-wasm
It's still a work in progress to get the full package manager on there, but there's funding from Mozilla to get it done. I'm excited to see how that turns out.
In Julia v1.3This is being worked on. Check out this project:
https://github.com/Keno/julia-wasm
I think that currently, the Julia intepreter is compiled to Wasm, so LLVM is not yet involved?
In Julia v1.1 Release NotesThanks for writing up your thoughts!
I find Julia's core design to be excellent for general purpose programming, better than python in fact since it essentially solves the expression problem with it's type system and multiple dispatch.
It's external program interop is also more pleasant than Python's :https://docs.julialang.org/en/v1/manual/running-external-pro...
Sure, it doesn't have the same general library ecosystem, but even that is being remedied for core areas like web programming: http://genieframework.com/ (a full MVC framework), https://github.com/JuliaGizmos/WebIO.jl (write front end code without javascript) and
I'm particularly excited for https://github.com/Keno/julia-wasm, which will allow Julia programs to be compiled for the browser.
For any packages than are python only, it has excellent python interop using the pyca
Read the rest
ll.jl package, which even allows users to write custom python classes in Julia.
With regards to numerical programming, it's obviously already far ahead of swift, and IMO much better placed to beat it in the long run. For example the WIP zyogte package is able to hook into Julia's compiler to zero overhead diff arbitrary code. Using Cassette.jl, package authors can write custom compiler passes outside the main repo and in pure Julia: https://julialang.org/blog/2018/12/ml-language-compiler
In addition, it's macro system, introspection, dynamic typing and value types through abstract typing approach allows for natural development of advanced probabilistic programming languages: https://github.com/TuringLang/Turing.jl, https://github.com/probcomp/Gen, https://github.com/zenna/Omega.jl/pulse