arrow-julia
vega-loader-arrow
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| arrow-julia | vega-loader-arrow | |
|---|---|---|
| 4 | 1 | |
| 277 | 53 | |
| 1.8% | - | |
| 6.2 | 7.6 | |
| 16 days ago | 26 days ago | |
| Julia | JavaScript | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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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
vega-loader-arrow
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Apache Arrow 3.0.0 Release
Not sure I follow, that page indicates that JS support is pretty good for all but the more obscure features (e.g. decimals) and doesn't mention data visualization at all? Anyhow, I've successfully used https://github.com/vega/vega-loader-arrow for in-browser plots before, and Observable has a fair few notebooks showing how to use the JS API (e.g. https://observablehq.com/@theneuralbit/introduction-to-apach...)
What are some alternatives?
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
arquero - Query processing and transformation of array-backed data tables.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
cylon - Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.
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.
go-py-arrow-bridge - Bridge between Go and Python to facilitate zero-copy using Apache Arrow