Haskell vs Python vs Stan

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Haskell

1.1K
1.2K
+ 1
506
Python

204.9K
178K
+ 1
6.8K
Stan

51
27
+ 1
0
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Pros of Haskell
Pros of Python
Pros of Stan
  • 89
    Purely-functional programming
  • 66
    Statically typed
  • 59
    Type-safe
  • 39
    Open source
  • 38
    Great community
  • 30
    Built-in concurrency
  • 29
    Composable
  • 29
    Built-in parallelism
  • 23
    Referentially transparent
  • 19
    Generics
  • 14
    Intellectual satisfaction
  • 14
    Type inference
  • 11
    If it compiles, it's correct
  • 7
    Flexible
  • 7
    Monads
  • 4
    Proposition testing with QuickCheck
  • 4
    Great type system
  • 3
    Purely-functional Programming
  • 3
    One of the most powerful languages *(see blub paradox)*
  • 2
    Highly expressive, type-safe, fast development time
  • 2
    Reliable
  • 2
    Kind system
  • 2
    Pattern matching and completeness checking
  • 2
    Better type-safe than sorry
  • 2
    Type classes
  • 2
    Great maintainability of the code
  • 2
    Fun
  • 2
    Best in class thinking tool
  • 0
    Orthogonality
  • 0
    Predictable
  • 1.2K
    Great libraries
  • 951
    Readable code
  • 837
    Beautiful code
  • 781
    Rapid development
  • 684
    Large community
  • 428
    Open source
  • 387
    Elegant
  • 279
    Great community
  • 270
    Object oriented
  • 215
    Dynamic typing
  • 76
    Great standard library
  • 57
    Very fast
  • 52
    Functional programming
  • 45
    Easy to learn
  • 44
    Scientific computing
  • 34
    Great documentation
  • 27
    Matlab alternative
  • 26
    Easy to read
  • 26
    Productivity
  • 22
    Simple is better than complex
  • 19
    It's the way I think
  • 18
    Imperative
  • 17
    Free
  • 16
    Very programmer and non-programmer friendly
  • 15
    Powerfull language
  • 15
    Machine learning support
  • 14
    Fast and simple
  • 14
    Powerful
  • 13
    Scripting
  • 10
    Explicit is better than implicit
  • 9
    Clear and easy and powerfull
  • 9
    Unlimited power
  • 9
    Ease of development
  • 8
    Import antigravity
  • 7
    It's lean and fun to code
  • 7
    Print "life is short, use python"
  • 6
    Great for tooling
  • 6
    Fast coding and good for competitions
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    Although practicality beats purity
  • 6
    Python has great libraries for data processing
  • 6
    Flat is better than nested
  • 6
    High Documented language
  • 6
    I love snakes
  • 5
    Now is better than never
  • 5
    Readability counts
  • 5
    Rapid Prototyping
  • 4
    Complex is better than complicated
  • 4
    Web scraping
  • 4
    CG industry needs
  • 4
    Great for analytics
  • 4
    Socially engaged community
  • 4
    Lists, tuples, dictionaries
  • 4
    Multiple Inheritence
  • 4
    Beautiful is better than ugly
  • 4
    Plotting
  • 3
    Simple and easy to learn
  • 3
    Generators
  • 3
    Easy to learn and use
  • 3
    Many types of collections
  • 3
    No cruft
  • 3
    List comprehensions
  • 3
    Pip install everything
  • 3
    Special cases aren't special enough to break the rules
  • 3
    If the implementation is hard to explain, it's a bad id
  • 3
    If the implementation is easy to explain, it may be a g
  • 3
    Easy to setup and run smooth
  • 3
    Import this
  • 2
    Shitty
  • 2
    Flexible and easy
  • 2
    It is Very easy , simple and will you be love programmi
  • 2
    Batteries included
  • 2
    Can understand easily who are new to programming
  • 2
    Powerful language for AI
  • 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
    Good for hacking
  • 0
    Powerful
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    Cons of Haskell
    Cons of Python
    Cons of Stan
    • 8
      Error messages can be very confusing
    • 8
      Too much distraction in language extensions
    • 4
      Libraries have poor documentation
    • 3
      No best practices
    • 3
      No good ABI
    • 2
      Sometimes performance is unpredictable
    • 2
      Poor packaging for apps written in it for Linux distros
    • 1
      Slow compilation
    • 51
      Still divided between python 2 and python 3
    • 28
      Performance impact
    • 26
      Poor syntax for anonymous functions
    • 21
      GIL
    • 19
      Package management is a mess
    • 14
      Too imperative-oriented
    • 12
      Hard to understand
    • 12
      Dynamic typing
    • 11
      Very slow
    • 8
      Not everything is expression
    • 7
      Indentations matter a lot
    • 7
      Explicit self parameter in methods
    • 7
      Incredibly slow
    • 6
      Requires C functions for dynamic modules
    • 6
      Poor DSL capabilities
    • 6
      No anonymous functions
    • 5
      Official documentation is unclear.
    • 5
      The "lisp style" whitespaces
    • 5
      Fake object-oriented programming
    • 5
      Hard to obfuscate
    • 5
      Threading
    • 4
      Circular import
    • 4
      The benevolent-dictator-for-life quit
    • 4
      Lack of Syntax Sugar leads to "the pyramid of doom"
    • 4
      Not suitable for autocomplete
    • 2
      Meta classes
    • 1
      Training wheels (forced indentation)
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      - No public GitHub repository available -

      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?
      What tools integrate with Python?
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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