Home Projects ComponentArrays.jl
ComponentArrays.jl
Julia

ComponentArrays.jl

Arrays with arbitrarily nested named components.

by SciML · GitHub
Stars
Forks
License
Created
Last commit
Category
Julia
Language
arrayarrayscontrol-systemsMITJulia
View on GitHub
In plain words

Access and manipulate complex data structures with named components for easier programming in Julia.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
ComponentArrays.jl — GitHub preview card
📈 Star history
369368
2026-07-202026-08-31
📈 Track ComponentArrays.jl

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Arrays with arbitrarily nested named components.

ComponentArrays.jl has 368 stars on GitHub. It has been forked 40 times. ComponentArrays.jl is written mainly in Julia. It has been in active development since 2020. ComponentArrays.jl is available under the MIT license. Its main topics are array, arrays, control-systems, controls.

Frequently asked questions

What is ComponentArrays.jl?

Arrays with arbitrarily nested named components.

Is ComponentArrays.jl open source?

ComponentArrays.jl is an open-source project. It is released under the MIT license.

Is ComponentArrays.jl free?

Yes. ComponentArrays.jl is free and open source — you can use, modify and self-host it.

What license does ComponentArrays.jl use?

ComponentArrays.jl is available under the MIT license.

What language is ComponentArrays.jl written in?

ComponentArrays.jl is written mainly in Julia.

🏅 Maintainer of this project?
olud.ai badge — ComponentArrays.jl

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=sciml-componentarrays-jl)](https://olud.ai/project/sciml-componentarrays-jl.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.