JuliaLang
@julialang • The Julia Programming Language. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
57%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
16 repositories updated in the last 90 days.
Leading language
Julia
Portfolio mix
Julia (18), Unknown (6), Shell (3)
Average size
49
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-08-24(1d ago)GitHub API fallback30 repositories
57%
of the visible star count comes from this organization's top three repositories.
49
stars per repository in this same snapshot.
Julia
is the most common language here, with 16 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 30 repositories.
Balanced portfolio across 30 reposTop 3 share 57%
Organization pages work best when you separate portfolio breadth from flagship concentration. In JuliaLang's case, the visible top three repositories account for about 57% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Julia (18), Unknown (6), Shell (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | julialang/JuliaSyntax.jl The Julia compiler frontend | Julia | 293 |
| 2 | julialang/JuliaC.jl CLI app for compiling and bundling julia binaries, especially trimmed ones | Julia | 281 |
| 3 | julialang/AllocCheck.jl AllocCheck | Julia | 255 |
| 4 | julialang/PrecompileTools.jl Reduce time-to-first-execution of Julia code | Julia | 249 |
| 5 | julialang/JuliaLowering.jl Julia code lowering with precise provenance | Julia | 88 |
| 6 | julialang/LinearAlgebra.jl Julia Linear Algebra standard library | Julia | 77 |
| 7 | julialang/Distributed.jl Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib. | Julia | 55 |
| 8 | julialang/StyledStrings.jl Write with ✨ style ✨ and ease | Julia | 33 |
| 9 | julialang/SecurityAdvisories.jl The Julia Ecosystem Security Advisory Database | Julia | 25 |
| 10 | julialang/ScopedValues.jl | Julia | 23 |
| 11 | julialang/JuliaSyntaxHighlighting.jl | Julia | 18 |
| 12 | julialang/devcontainer-features Julia Development Container Feature | Shell | 18 |
| 13 | julialang/Public.jl | Julia | 13 |
| 14 | julialang/SharedArrays.jl | Julia | 5 |
| 15 | julialang/devcontainer-templates Julia Development Container Template | Shell | 5 |
| 16 | julialang/VersionsJSONUtil.jl Generate the `versions.json` file that contains the list of Julia versions | Julia | 5 |
| 17 | julialang/BaseCompiler.jl A placeholder implementation of Julia's Compiler standard library that re-exports bundled compiler with native package switching capabilities. | Julia | 4 |
| 18 | julialang/IJuliaCore.jl | Julia | 4 |
| 19 | julialang/devguide.julialang.org | TeX | 3 |
| 20 | julialang/cpufeatures | C++ | 2 |
| 21 | julialang/Test.jl | Julia | 2 |
| 22 | julialang/headscale.julialang.org Headscale configuration for JuliaLang | Shell | 1 |
| 23 | julialang/LazyArtifacts.jl | Julia | 1 |
| 24 | julialang/Statistics.jl The Statistics stdlib that ships with Julia. | 1 | |
| 25 | julialang/rr Fork of rr with Julia-specific patches | C++ | 1 |
| 26 | julialang/llvm-dialects LLVM Dialects Library | 0 | |
| 27 | julialang/docs-pdf-backup | 0 | |
| 28 | julialang/backporter-github-actions-workflows | 0 | |
| 29 | julialang/pr-assignment Contains a text file of the subset of Julia committers that have opted-in to be randomly assigned to newly opened PRs. | 0 | |
| 30 | julialang/SciMLSensitivity.jl A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc. | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.