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Haskell

1.4K
1.2K
+ 1
527
Python

245.9K
200.8K
+ 1
6.9K
Stan

64
27
+ 1
0
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Pros of Haskell
Pros of Python
Pros of Stan
  • 90
    Purely-functional programming
  • 66
    Statically typed
  • 59
    Type-safe
  • 39
    Open source
  • 38
    Great community
  • 31
    Built-in concurrency
  • 30
    Built-in parallelism
  • 30
    Composable
  • 24
    Referentially transparent
  • 20
    Generics
  • 15
    Type inference
  • 15
    Intellectual satisfaction
  • 12
    If it compiles, it's correct
  • 8
    Flexible
  • 8
    Monads
  • 5
    Great type system
  • 4
    Proposition testing with QuickCheck
  • 4
    One of the most powerful languages *(see blub paradox)*
  • 4
    Purely-functional Programming
  • 3
    Highly expressive, type-safe, fast development time
  • 3
    Pattern matching and completeness checking
  • 3
    Great maintainability of the code
  • 3
    Fun
  • 3
    Reliable
  • 2
    Best in class thinking tool
  • 2
    Kind system
  • 2
    Better type-safe than sorry
  • 2
    Type classes
  • 1
    Predictable
  • 1
    Orthogonality
  • 1.2K
    Great libraries
  • 964
    Readable code
  • 847
    Beautiful code
  • 788
    Rapid development
  • 691
    Large community
  • 438
    Open source
  • 393
    Elegant
  • 282
    Great community
  • 273
    Object oriented
  • 221
    Dynamic typing
  • 77
    Great standard library
  • 60
    Very fast
  • 55
    Functional programming
  • 51
    Easy to learn
  • 46
    Scientific computing
  • 35
    Great documentation
  • 29
    Productivity
  • 28
    Easy to read
  • 28
    Matlab alternative
  • 24
    Simple is better than complex
  • 20
    It's the way I think
  • 19
    Imperative
  • 18
    Very programmer and non-programmer friendly
  • 18
    Free
  • 17
    Powerfull language
  • 17
    Machine learning support
  • 16
    Fast and simple
  • 14
    Scripting
  • 12
    Explicit is better than implicit
  • 11
    Ease of development
  • 10
    Clear and easy and powerfull
  • 9
    Unlimited power
  • 8
    Import antigravity
  • 8
    It's lean and fun to code
  • 7
    Print "life is short, use python"
  • 7
    Python has great libraries for data processing
  • 6
    Rapid Prototyping
  • 6
    Readability counts
  • 6
    Now is better than never
  • 6
    Great for tooling
  • 6
    Flat is better than nested
  • 6
    Although practicality beats purity
  • 6
    I love snakes
  • 6
    High Documented language
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    Fast coding and good for competitions
  • 5
    Web scraping
  • 5
    Lists, tuples, dictionaries
  • 5
    Great for analytics
  • 4
    Easy to setup and run smooth
  • 4
    Easy to learn and use
  • 4
    Plotting
  • 4
    Beautiful is better than ugly
  • 4
    Multiple Inheritence
  • 4
    Socially engaged community
  • 4
    Complex is better than complicated
  • 4
    CG industry needs
  • 4
    Simple and easy to learn
  • 3
    It is Very easy , simple and will you be love programmi
  • 3
    Flexible and easy
  • 3
    Many types of collections
  • 3
    If the implementation is easy to explain, it may be a g
  • 3
    If the implementation is hard to explain, it's a bad id
  • 3
    Special cases aren't special enough to break the rules
  • 3
    Pip install everything
  • 3
    List comprehensions
  • 3
    No cruft
  • 3
    Generators
  • 3
    Import this
  • 3
    Powerful language for AI
  • 2
    Can understand easily who are new to programming
  • 2
    Should START with this but not STICK with This
  • 2
    A-to-Z
  • 2
    Because of Netflix
  • 2
    Only one way to do it
  • 2
    Better outcome
  • 2
    Batteries included
  • 2
    Good for hacking
  • 2
    Securit
  • 1
    Procedural programming
  • 1
    Best friend for NLP
  • 1
    Slow
  • 1
    Automation friendly
  • 1
    Sexy af
  • 0
    Ni
  • 0
    Keep it simple
  • 0
    Powerful
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    Cons of Haskell
    Cons of Python
    Cons of Stan
    • 9
      Too much distraction in language extensions
    • 8
      Error messages can be very confusing
    • 5
      Libraries have poor documentation
    • 3
      No good ABI
    • 3
      No best practices
    • 2
      Poor packaging for apps written in it for Linux distros
    • 2
      Sometimes performance is unpredictable
    • 1
      Slow compilation
    • 1
      Monads are hard to understand
    • 53
      Still divided between python 2 and python 3
    • 28
      Performance impact
    • 26
      Poor syntax for anonymous functions
    • 22
      GIL
    • 19
      Package management is a mess
    • 14
      Too imperative-oriented
    • 12
      Hard to understand
    • 12
      Dynamic typing
    • 12
      Very slow
    • 8
      Indentations matter a lot
    • 8
      Not everything is expression
    • 7
      Incredibly slow
    • 7
      Explicit self parameter in methods
    • 6
      Requires C functions for dynamic modules
    • 6
      Poor DSL capabilities
    • 6
      No anonymous functions
    • 5
      Fake object-oriented programming
    • 5
      Threading
    • 5
      The "lisp style" whitespaces
    • 5
      Official documentation is unclear.
    • 5
      Hard to obfuscate
    • 5
      Circular import
    • 4
      Lack of Syntax Sugar leads to "the pyramid of doom"
    • 4
      The benevolent-dictator-for-life quit
    • 4
      Not suitable for autocomplete
    • 2
      Meta classes
    • 1
      Training wheels (forced indentation)
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      What is 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.

      What is 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.

      What is Stan?

      A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.

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

      What companies use Haskell?
      What companies use Python?
      What companies use Stan?

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      What tools integrate with Haskell?
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      What are some alternatives to Haskell, Python, and Stan?
      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.
      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.
      Erlang
      Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems.
      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.
      OCaml
      It is an industrial strength programming language supporting functional, imperative and object-oriented styles. It is the technology of choice in companies where a single mistake can cost millions and speed matters,
      See all alternatives