Don't waste your time on Julia

This page summarizes the projects mentioned and recommended in the original post on /r/rstats
Julia probability-distribution Statistics

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  • db-benchmark

    reproducible benchmark of database-like ops

    • Certainly not compared to Python's polars and R's data.table https://h2oai.github.io/db-benchmark (where DuckDB, cuDF, ClickHouse, and DataFrames.jl are Julia) -- and the two are even tidy, with tidypolars and tidytable. So this necessitates Julia to catch up on two layers to Python and R.

  • Distributions.jl

    A Julia package for probability distributions and associated functions.

    • ...so the blog post you've posted 4 times contains a list of issues the author filed in 2020-2021... and at least for the handful I clicked, they indeed have (long) been sorted. e.g., Filed Dec 18th 2020, closed Dec 20th

  • 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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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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