Apache Arrow 4.0.0 Release

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • Apache Arrow

    Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

  • Great to see Ballista in arrow https://github.com/apache/arrow/pull/9723

  • arrow-datafusion

    Apache DataFusion SQL Query Engine

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • arrow-rs

    Official Rust implementation of Apache Arrow

  • PyCall.jl

    Package to call Python functions from the Julia language

  • I actually don't know very much about how it works (which is a testament to the usability of the libraries!)

    I use PyCall to use Python from Julia, and PyJulia to do the reverse. PyCall & PyJulia have functionality to easily share arrays. PyCall is pretty seamless, PyJulia is a bit more work but still solid.

    To share a DataFrame, I convert it to Arrow, get a bytearray representation of that, use PyCall/PyJulia to access the array from a different process, and reinterpret it as Arrow data within that process.

    PyCall: https://github.com/JuliaPy/PyCall.jl

    PyJulia: https://pyjulia.readthedocs.io/en/latest/

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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