DataStructures.jl VS ArraysOfArrays.jl

Compare DataStructures.jl vs ArraysOfArrays.jl and see what are their differences.

DataStructures.jl

Julia implementation of Data structures (by JuliaCollections)
Julia Data structures
Source Code
juliacollections.github.io
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ArraysOfArrays.jl

Efficient storage and handling of nested arrays in Julia (by JuliaArrays)
Julia nested-arrays flat-arrays Arrays Data structures
Source Code
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DataStructures.jl ArraysOfArrays.jl
1 1
677 44
0.9% -
7.2 6.6
30 days ago 11 days ago
Julia Julia
MIT License GNU General Public License v3.0 or later
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.

DataStructures.jl

Posts with mentions or reviews of DataStructures.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-20.
  • Downloading packages to Julia 0.7
    3 projects | /r/Julia | 20 Jan 2023
    When I tried to download DataStructures with Pkg.add(Pkg.PackageSpec(url="https://github.com/JuliaCollections/DataStructures.jl.git", rev="v0.9.0")

ArraysOfArrays.jl

Posts with mentions or reviews of ArraysOfArrays.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-03.
  • Efficient Jagged Arrays
    2 projects | news.ycombinator.com | 3 Jul 2023
    there's a whole ecosystem in Python originally developed for high energy physics data processing: https://github.com/scikit-hep/awkward all because Numpy demands square N-dimensional array

    Same technique used everywhere, here's a simple Julia pkg for the same thing: https://github.com/JuliaArrays/ArraysOfArrays.jl/blob/3a6f5b...

    But Julia at least has the decency to just support ragged Vector{Vector} out of the box, and it's not that slow

What are some alternatives?

When comparing DataStructures.jl and ArraysOfArrays.jl you can also consider the following projects:

StatsBase.jl - Basic statistics for Julia

Graphs.jl - An optimized graphs package for the Julia programming language

julia - The Julia Programming Language

YAXArrays.jl - Yet Another XArray-like Julia package

DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

ComponentArrays.jl - Arrays with arbitrarily nested named components.

Pluto.jl - 🎈 Simple reactive notebooks for Julia

awkward - Manipulate JSON-like data with NumPy-like idioms.

CYCLOPS - Cyclic Ordering by Periodic Structure

RandomBasedArrays.jl - Hassle-free arrays: the first index is always random

StarWarsArrays.jl - Arrays indexed as the order of Star Wars movies

DataStructures.jl vs StatsBase.jl ArraysOfArrays.jl vs Graphs.jl DataStructures.jl vs julia ArraysOfArrays.jl vs YAXArrays.jl DataStructures.jl vs DifferentialEquations.jl ArraysOfArrays.jl vs ComponentArrays.jl DataStructures.jl vs Pluto.jl ArraysOfArrays.jl vs awkward DataStructures.jl vs CYCLOPS ArraysOfArrays.jl vs RandomBasedArrays.jl DataStructures.jl vs Graphs.jl ArraysOfArrays.jl vs StarWarsArrays.jl