YAXArrays.jl
ArraysOfArrays.jl
YAXArrays.jl | ArraysOfArrays.jl | |
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1 | 1 | |
80 | 44 | |
- | - | |
8.3 | 6.6 | |
4 days ago | 6 days ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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YAXArrays.jl
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What is lacking in Julia ecosystem?
we actually have https://github.com/JuliaDataCubes/YAXArrays.jl
ArraysOfArrays.jl
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Efficient Jagged Arrays
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?
QML.jl - Build Qt6 QML interfaces for Julia programs.
Graphs.jl - An optimized graphs package for the Julia programming language
Overview-of-the-Julia-Python-R-Universe - Contribute to the side by side overview of the three leading open source data science ecosystems of today
ComponentArrays.jl - Arrays with arbitrarily nested named components.
DimensionalData.jl - Named dimensions and indexing for julia arrays and other data
awkward - Manipulate JSON-like data with NumPy-like idioms.
AxisArrays.jl - Performant arrays where each dimension can have a named axis with values
RandomBasedArrays.jl - Hassle-free arrays: the first index is always random
Gtk.jl - Julia interface to Gtk windowing toolkit.
StarWarsArrays.jl - Arrays indexed as the order of Star Wars movies
CImGui.jl - Julia wrapper for cimgui
DataStructures.jl - Julia implementation of Data structures