Compile for faster execution?

This page summarizes the projects mentioned and recommended in the original post on /r/Julia

InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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CodeRabbit: AI Code Reviews for Developers
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  1. DaemonMode.jl

    Client-Daemon workflow to run faster scripts in Julia

    If you strongly prefer to run scripts though, then you can use the package https://github.com/dmolina/DaemonMode.jl in order to re-use a Julia session between multiple scripts, saving you recompilation time.

  2. InfluxDB

    InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

    InfluxDB logo
  3. SpeedTests

    comparing the execution speeds of various programming languages

    Thanks. Maybe somebody could look at my program why it's so slow. I have a project in which I benchmark several languages for the same problem. I added Julia (link) but I expected it to be faster. The source code is here.

  4. BenchmarkTools.jl

    A benchmarking framework for the Julia language

    If you want to measure the compilation time, you can install BenchmarkTools and use the @btime macro.

  5. PackageCompiler.jl

    Compile your Julia Package

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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Did you know that Julia is
the 44th most popular programming language
based on number of references?