Poly/ML vs SML/NJ

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

Poly/ML is a Development solution with tags like functional-programming, ml-family, scientific-computing, static-typing.

It boasts features such as 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 pros including 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.

On the other hand, SML/NJ is a Development product tagged with functional-programming, compiler, interactive-environment.

Its standout features include Compiler for Standard ML, Interactive environment, Support for modules, Automatic memory management, Polymorphic type inference, High performance code generation, Portability across platforms, and it shines with pros like 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.

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

Product Overview

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.

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.

Key Features Comparison

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

Poly/ML

• Open Source

SML/NJ

• Open Source