SML/NJ vs Poly/ML

Struggling to choose between SML/NJ and Poly/ML? Both products offer unique advantages, making it a tough decision.

SML/NJ is a Development solution with tags like functional-programming, compiler, interactive-environment.

It boasts features such as Compiler for Standard ML, Interactive environment, Support for modules, Automatic memory management, Polymorphic type inference, High performance code generation, Portability across platforms and pros including Clean, elegant language design, Strong static typing catches errors early, Functional programming paradigm prevents bugs, Modules encourage code reuse, Type inference reduces boilerplate, Fast execution for a functional language.

On the other hand, Poly/ML is a Development product tagged with functional-programming, ml-family, scientific-computing, static-typing.

Its standout features include Statically typed functional programming language, Type inference, Automatic memory management, Support for imperative programming, Compiles to native code for efficiency, Built-in support for arrays, lists, options, records, Support for recursion, higher-order functions, Module system for abstraction and information hiding, Interactive environment, and it shines with pros like 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.

Feature	SML/NJ	Poly/ML
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

SML/NJ

Description: SML/NJ is a compiler and interactive environment for Standard ML, a general-purpose functional programming language. It emphasizes high performance, modularity, and portability.

Poly/ML

Description: 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.

Key Features Comparison

SML/NJ Features

• Compiler for Standard ML
• Interactive environment
• Support for modules
• Automatic memory management
• Polymorphic type inference
• High performance code generation
• Portability across platforms

Poly/ML Features

• Statically typed functional programming language
• Type inference
• Automatic memory management
• Support for imperative programming
• Compiles to native code for efficiency
• Built-in support for arrays, lists, options, records
• Support for recursion, higher-order functions
• Module system for abstraction and information hiding
• Interactive environment

Pros & Cons Analysis

SML/NJ

Pros

• Clean, elegant language design
• Strong static typing catches errors early
• Functional programming paradigm prevents bugs
• Modules encourage code reuse
• Type inference reduces boilerplate
• Fast execution for a functional language

Cons

• Not as popular/widespread as other languages
• Limited libraries compared to other languages
• Steep learning curve for imperative programmers
• REPL not as fully featured as some other languages

Poly/ML

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

Pricing Comparison

SML/NJ

• Open Source

Poly/ML

• Open Source