Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

This page summarizes the projects mentioned and recommended in the original post on dev.to

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
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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  1. scala

    Scala 2 compiler and standard library. Scala 2 bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3

    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.

  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. rust

    Empowering everyone to build reliable and efficient software.

    But that said, - and again I might be a bit biased - Groovy is too slow for me! I compared it to Rust in this LinkedIn post and it was waaaaay slow. Keep in mind that subjectively comparing programming languages might be a tricky business. But at the end, it will be up to your use case/project to prefer a language over the other.

  4. intellij-plugins

    Open-source plugins included in the distribution of IntelliJ IDEA Ultimate and other IDEs based on the IntelliJ Platform

    IntelliJ (look for the community edition) on the other hand offered great out-of-box Groovy support including IntelliSence, building, and running features. So, I sticked with it 😊

  5. Apache Spark

    Apache Spark - A unified analytics engine for large-scale data processing

    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.

  6. SDKMan

    The SDKMAN! Command Line Interface

    Alternatively, you can use sdkman. A great tool to install your Software Development Kit. The downside is that it only works on *nix systems. So for Widnows users, you will have to use WSL or Cygwin as the official page suggests. It is really simple to use sdkman. after a successful installation, just type those commands into your *nix shell:

  7. groovy

    Apache Groovy: A powerful multi-faceted programming language for the JVM platform

    This time, I visited Groovy. Given my biased first impression about Java and the JVM, I wasn't too exited! But I couldn't have been more wrong! 😁

  8. Visual Studio Code

    Visual Studio Code

    I personally prefer VS Code. But for Groovy, it didn't offer the right extensions.

  9. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

    CodeRabbit logo
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 Scala is
the 36th most popular programming language
based on number of references?