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Groovy
Groovy

800
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180
Rust
Rust

1.1K
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662
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Groovy vs Rust: What are the differences?

Developers describe Groovy as "A dynamic language for the Java platform". Groovy builds upon the strengths of Java but has additional power features inspired by languages like Python, Ruby and Smalltalk. It makes modern programming features available to Java developers with almost-zero learning curve. On the other hand, Rust is detailed as "A safe, concurrent, practical language". Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.

Groovy and Rust belong to "Languages" category of the tech stack.

"Java platform" is the top reason why over 38 developers like Groovy, while over 81 developers mention "Guaranteed memory safety" as the leading cause for choosing Rust.

Groovy and Rust are both open source tools. Rust with 37.3K GitHub stars and 5.85K forks on GitHub appears to be more popular than Groovy with 1.49K GitHub stars and 414 GitHub forks.

Starbucks, Cask, and PedidosYa are some of the popular companies that use Groovy, whereas Rust is used by Dropbox, Sentry, and Roundscope Ukraine Labs. Groovy has a broader approval, being mentioned in 79 company stacks & 73 developers stacks; compared to Rust, which is listed in 39 company stacks and 105 developer stacks.

What is Groovy?

Groovy builds upon the strengths of Java but has additional power features inspired by languages like Python, Ruby and Smalltalk. It makes modern programming features available to Java developers with almost-zero learning curve.

What is Rust?

Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.
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What are some alternatives to Groovy and Rust?
Java
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
Scala
Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
Kotlin
Kotlin is a statically typed programming language for the JVM, Android and the browser, 100% interoperable with Java
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Gradle
Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.
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Decisions about Groovy and Rust
StackShare Editors
StackShare Editors
Lua
Lua
Rust
Rust

To handle its growing observability needs, Postmates created and open sourced Cernan, a telemetry and logging aggregation server. Ceran is built on Rust and Lua, and can ingest data from many sources and then push or exposes what it’s collected to many destinations, or “sinks.” It can also create or manipulate in-flight data with programmable Lua filters.

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James Cunningham
James Cunningham
Operations Engineer at Sentry · | 18 upvotes · 60.8K views
atSentrySentry
Python
Python
Rust
Rust

Sentry's event processing pipeline, which is responsible for handling all of the ingested event data that makes it through to our offline task processing, is written primarily in Python.

For particularly intense code paths, like our source map processing pipeline, we have begun re-writing those bits in Rust. Rust’s lack of garbage collection makes it a particularly convenient language for embedding in Python. It allows us to easily build a Python extension where all memory is managed from the Python side (if the Python wrapper gets collected by the Python GC we clean up the Rust object as well).

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marcoalmeida
marcoalmeida
Go
Go
C
C
Python
Python
Rust
Rust

One important decision for delivering a platform independent solution with low memory footprint and minimal dependencies was the choice of the programming language. We considered a few from Python (there was already a reasonably large Python code base at Thumbtack), to Go (we were taking our first steps with it), and even Rust (too immature at the time).

We ended up writing it in C. It was easy to meet all requirements with only one external dependency for implementing the web server, clearly no challenges running it on any of the Linux distributions we were maintaining, and arguably the implementation with the smallest memory footprint given the choices above.

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C++
C++
Rust
Rust

Initially, I wrote my text adventure game in C++, but I later rewrote my project in Rust. It was an incredibly easier process to use Rust to create a faster, more robust, and bug-free project.

One difficulty with the C++ language is the lack of safety, helpful error messages, and useful abstractions when compared to languages like Rust. Rust would display a helpful error message at compile time, while C++ would often display "Segmentation fault (core dumped)" or wall of STL errors in the middle. While I would frequently push buggy code to my C++ repository, Rust enabled me to only even submit fully functional code.

Along with the actual language, Rust also included useful tools such as rustup and cargo to aid in building projects, IDE tooling, managing dependencies, and cross-compiling. This was a refreshing alternative to the difficult CMake and tools of the same nature.

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Alex A
Alex A
Founder at PRIZ Guru · | 3 upvotes · 124.9K views
atPRIZ GuruPRIZ Guru
Grails
Grails
Play
Play
Scala
Scala
Groovy
Groovy
Gradle
Gradle

Some may wonder why did we choose Grails ? Really good question :) We spent quite some time to evaluate what framework to go with and the battle was between Play Scala and Grails ( Groovy ). We have enough experience with both and, to be honest, I absolutely in love with Scala; however, the tipping point for us was the potential speed of development. Grails allows much faster development pace than Play , and as of right now this is the most important parameter. We might convert later though. Also, worth mentioning, by default Grails comes with Gradle as a build tool, so why change?

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Dan Larsen
Dan Larsen
CTO at FlowStack · | 7 upvotes · 73.2K views
atFlowStack ApSFlowStack ApS
Go
Go
Rust
Rust
C
C
C++
C++

At FlowStack we write most of our backend in Go. Go is a well thought out language, with all the right compromises for speedy development of speedy and robust software. It's tooling is part of what makes Go such a great language. Testing and benchmarking is built into the language, in a way that makes it easy to ensure correctness and high performance. In most cases you can get more performance out of Rust and C or C++, but getting everything right is more cumbersome.

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Interest over time
Reviews of Groovy and Rust
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How developers use Groovy and Rust
Avatar of Marc3842h
Marc3842h uses RustRust

Rust is used in Shirogane (https://github.com/Marc3842h/shirogane).

Shirogane is a osu! beatmap mirror built for shiro. We use Rust because of memory safe but still low level and high performance.

Avatar of Valdomiro Bilharvas
Valdomiro Bilharvas uses GroovyGroovy

Used as language to describe and interpret as tools with jenkinsfile

Avatar of Sodep
Sodep uses GroovyGroovy

NPL solutions and statistical machine learning.

Avatar of Tongliang Liu
Tongliang Liu uses GroovyGroovy

As long as you don't abuse def and Closure

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