Don't waste your time on Julia

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/rstats

Our great sponsors
  • SonarLint - Clean code begins in your IDE with SonarLint
  • InfluxDB - Build time-series-based applications quickly and at scale.
  • Scout APM - Truly a developer’s best friend
  • talent.io - Download talent.io’s Tech Salary Report
  • 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

  • SonarLint

    Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.

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.

Suggest a related project

Related posts