Poly/ML

Poly/ML

Poly/ML is a functional and imperative programming language in the ML family targeted towards scientific computing. It features static typing, automatic memory management, and supports compilation to native code for efficient execution.
Poly/ML screenshot

Poly/ML: High-Performance Scientific Computing Language

Poly/ML is a functional and imperative programming language in the ML family targeted towards scientific computing. It features static typing, automatic memory management, and supports compilation to native code for efficient execution.

What is Poly/ML?

Poly/ML is a functional and imperative programming language in the ML family targeted towards scientific computing applications and education. It combines support for both functional and imperative programming paradigms.

Key features of Poly/ML include:

  • Statically typed with type inference
  • Automatic memory management via garbage collection
  • Supports polymorphic functions and data types
  • Includes recursive types, tuple types, record types
  • Has a module system for encapsulation and reuse
  • Compiles to native code for efficient execution
  • Includes features like exceptions, input/output
  • Rich standard library including lists, vectors, matrices

Poly/ML builds on the ML language family and draws influences from languages like Standard ML and OCaml. The goal of the language is to combine expressiveness, safety, and high performance for computationally intensive tasks in fields like physics, math, biology, and more.

The Poly/ML implementation features an optimizing compiler to native code as well as an interactive REPL environment. It runs on major platforms like Linux, macOS, and Windows.

Poly/ML Features

Features

  1. Statically typed functional programming language
  2. Type inference
  3. Automatic memory management
  4. Support for imperative programming
  5. Compiles to native code for efficiency
  6. Built-in support for arrays, lists, options, records
  7. Support for recursion, higher-order functions
  8. Module system for abstraction and information hiding
  9. Interactive environment

Pricing

  • Open Source

Pros

Efficient execution via native compilation

Type safety catches errors at compile time

Concise and expressive code

Automatic memory management prevents leaks

Support for both functional and imperative styles

Interactive environment aids development

Cons

Not as popular/widespread as other languages

Steep learning curve for those new to ML languages

Lack of extensive libraries compared to more mainstream languages

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