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Clojure

1.9K
1.4K
+ 1
1.1K
FStar

2
8
+ 1
0
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Clojure vs FStar: What are the differences?

Clojure: A dynamic programming language that targets the Java Virtual Machine. Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system; FStar: An ML-like language aimed at program verification. F* (pronounced F star) is an ML-like functional programming language aimed at program verification. Its type system includes polymorphism, dependent types, monadic effects, refinement types, and a weakest precondition calculus. Together, these features allow expressing precise and compact specifications for programs, including functional correctness and security properties.

Clojure and FStar can be categorized as "Languages" tools.

Clojure and FStar are both open source tools. It seems that Clojure with 7.85K GitHub stars and 1.25K forks on GitHub has more adoption than FStar with 1.64K GitHub stars and 147 GitHub forks.

Decisions about Clojure and FStar

We’re a new startup so we need to be able to deliver quick changes as we find our product market fit. We’ve also got to ensure that we’re moving money safely, and keeping perfect records. The technologies we’ve chosen mix mature but well maintained frameworks like Django, with modern web-first and api-first front ends like GraphQL, NextJS, and Chakra. We use a little Golang sparingly in our backend to ensure that when we interact with financial services, we do so with statically compiled, strongly typed, and strictly limited and reviewed code.

You can read all about it in our linked blog post.

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Pros of Clojure
Pros of FStar
  • 117
    It is a lisp
  • 100
    Persistent data structures
  • 100
    Concise syntax
  • 90
    jvm-based language
  • 89
    Concurrency
  • 81
    Interactive repl
  • 76
    Code is data
  • 61
    Open source
  • 61
    Lazy data structures
  • 57
    Macros
  • 49
    Functional
  • 23
    Simplistic
  • 22
    Immutable by default
  • 20
    Excellent collections
  • 19
    Fast-growing community
  • 15
    Multiple host languages
  • 15
    Simple (not easy!)
  • 15
    Practical Lisp
  • 10
    Because it's really fun to use
  • 10
    Addictive
  • 9
    Community
  • 9
    Web friendly
  • 9
    Rapid development
  • 9
    It creates Reusable code
  • 8
    Minimalist
  • 6
    Programmable programming language
  • 6
    Java interop
  • 5
    Regained interest in programming
  • 4
    Compiles to JavaScript
  • 3
    Share a lot of code with clojurescript/use on frontend
  • 3
    EDN
  • 1
    Clojurescript
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    Cons of Clojure
    Cons of FStar
    • 11
      Cryptic stacktraces
    • 5
      Need to wrap basically every java lib
    • 4
      Toxic community
    • 3
      Good code heavily relies on local conventions
    • 3
      Tonns of abandonware
    • 3
      Slow application startup
    • 1
      Usable only with REPL
    • 1
      Hiring issues
    • 1
      It's a lisp
    • 1
      Bad documented libs
    • 1
      Macros are overused by devs
    • 1
      Tricky profiling
    • 1
      IDE with high learning curve
    • 1
      Configuration bolierplate
    • 1
      Conservative community
    • 0
      Have no good and fast fmt
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      What is Clojure?

      Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system.

      What is FStar?

      F* (pronounced F star) is an ML-like functional programming language aimed at program verification. Its type system includes polymorphism, dependent types, monadic effects, refinement types, and a weakest precondition calculus. Together, these features allow expressing precise and compact specifications for programs, including functional correctness and security properties.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Clojure?
      What companies use FStar?
        No companies found
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        What tools integrate with Clojure?
        What tools integrate with FStar?

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        Blog Posts

        GitHubGitPython+22
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        GitHubGitDocker+34
        29
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        What are some alternatives to Clojure and FStar?
        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.
        Haskell
        It is a general purpose language that can be used in any domain and use case, it is ideally suited for proprietary business logic and data analysis, fast prototyping and enhancing existing software environments with correct code, performance and scalability.
        Common Lisp
        Lisp was originally created as a practical mathematical notation for computer programs, influenced by the notation of Alonzo Church's lambda calculus. It quickly became the favored programming language for artificial intelligence (AI) research. As one of the earliest programming languages, Lisp pioneered many ideas in computer science, including tree data structures, automatic storage management, dynamic typing, conditionals, higher-order functions, recursion, and the self-hosting compiler. [source: wikipedia]
        Elixir
        Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.
        Julia
        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.
        See all alternatives