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Groovy vs Julia: 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, Julia is detailed as "A high-level, high-performance dynamic programming language for technical computing". Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Groovy and Julia belong to "Languages" category of the tech stack.
"Java platform" is the primary reason why developers consider Groovy over the competitors, whereas "Lisp-like Macros" was stated as the key factor in picking Julia.
Groovy and Julia are both open source tools. Julia with 22.7K GitHub stars and 3.43K forks on GitHub appears to be more popular than Groovy with 1.49K GitHub stars and 414 GitHub forks.
Starbucks, PedidosYa, and AgoraPulse are some of the popular companies that use Groovy, whereas Julia is used by inFeedo, Platform Project, and N26. Groovy has a broader approval, being mentioned in 79 company stacks & 73 developers stacks; compared to Julia, which is listed in 5 company stacks and 5 developer stacks.
After writing a project in Julia we decided to stick with Kotlin. Julia is a nice language and has superb REPL support, but poor tooling and the lack of reproducibility of the program runs makes it too expensive to work with. Kotlin on the other hand now has nice Jupyter support, which mostly covers REPL requirements.
Pros of Groovy
- Java platform44
- Much more productive than java33
- Concise and readable29
- Very little code needed for complex tasks28
- Dynamic language22
- Nice dynamic syntax for the jvm13
- Very fast9
- Can work with JSON as an object7
- Easy to setup7
- Supports closures (lambdas)6
- Literal Collections6
- Syntactic sugar3
- Optional static typing3
- Developer Friendly2
Pros of Julia
- Fast Performance and Easy Experimentation24
- Designed for parallelism and distributed computation21
- Free and Open Source18
- Dynamic Type System17
- Multiple Dispatch16
- Calling C functions directly16
- Lisp-like Macros16
- Powerful Shell-like Capabilities10
- Jupyter notebook integration9
- REPL8
- String handling4
- Emojis as variable names4
- Interoperability3
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Cons of Groovy
- Groovy Code can be slower than Java Code3
- Absurd syntax1
- Objects cause stateful/heap mess1
Cons of Julia
- Immature library management system5
- Slow program start4
- JIT compiler is very slow3
- Poor backwards compatibility3
- Bad tooling2
- No static compilation2
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What is Groovy?
What is Julia?
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