ProtoStructs.jl
arrow-julia
| ProtoStructs.jl | arrow-julia | |
|---|---|---|
| 2 | 4 | |
| 86 | 277 | |
| - | 0.7% | |
| 7.3 | 6.2 | |
| 27 days ago | 6 days ago | |
| Julia | Julia | |
| MIT License | GNU General Public License v3.0 or later |
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ProtoStructs.jl
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Julia 1.8 has been released
- Use this package: https://github.com/BeastyBlacksmith/ProtoStructs.jl . It gives you a simple @proto macro that you can prepend to the struct definition and makes all changes immediate.
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We Use Julia, 10 Years Later
> But the REPL lacks the ability to redefine structs on the go
ProtoStructs.jl: https://github.com/BeastyBlacksmith/ProtoStructs.jl
arrow-julia
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Julia 1.8 has been released
For some examples of people porting existing C++ Fortran libraries to julia, you should check out https://github.com/JuliaLinearAlgebra/Octavian.jl, https://github.com/dgleich/GenericArpack.jl, https://github.com/apache/arrow-julia (just off the top of my head). These are all ports of C++ or Fortran libraries that match (or exceed) performance of the original, and in the case of Arrow.jl is faster, more general, and 10x less code.
- How to adapt Arrow.Table columns (naturally per record batch basis) into CuArrays for GPU processing?
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Reading HDF5 Files
I guess current preferred format not feather, but arrow: https://github.com/JuliaData/Arrow.jl
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Apache Arrow 3.0.0 Release
Excited to see this release's official inclusion of the pure Julia Arrow implementation [1]!
It's so cool to be able mmap Arrow memory and natively manipulate it from within Julia with virtually no performance overhead. Since the Julia compiler can specialize on the layout of Arrow-backed types at runtime (just as it can with any other type), the notion of needing to build/work with a separate "compiler for fast UDFs" is rendered obsolete.
It feels pretty magical when two tools like this compose so well without either being designed with the other in mind - a testament to the thoughtful design of both :) mad props to Jacob Quinn for spearheading the effort to revive/restart Arrow.jl and get the package into this release.
[1] https://github.com/JuliaData/Arrow.jl
What are some alternatives?
StaticTools.jl - Enabling StaticCompiler.jl-based compilation of (some) Julia code to standalone native binaries by avoiding GC allocations and llvmcall-ing all the things!
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
ObjectOriented.jl - Conventional object-oriented programming in Julia without breaking Julia's core design ideas
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
www.julialang.org - Julia Project website
arquero - Query processing and transformation of array-backed data tables.
GeoStatsBase.jl - Base package for the GeoStats.jl framework
ClickHouse - ClickHouse® is a free analytics DBMS for big data
RecursiveArrayTools.jl - Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
TableIO.jl - A glue package for reading and writing tabular data. It aims to provide a uniform api for reading and writing tabular data from and to multiple sources.
ITensors.jl - A Julia library for efficient tensor computations and tensor network calculations
vega-loader-arrow - Data loader for the Apache Arrow format.