The Scala Programming Language for your Windows PC

Scala

Scala

  -  73.9 MB  -  Open Source
  • Latest Version

    Scala 3.7.1 LATEST

  • Review by

    Daniel Leblanc

  • Operating System

    Windows 7 / Windows 8 / Windows 10 / Windows 11

  • User Rating

    Click to vote
  • Author / Product

    Scala Team / External Link

  • Filename

    scala3-3.7.1.msi

Scala is a high-level programming language designed to bridge the gap between object-oriented and functional programming paradigms.

It runs on the Java Virtual Machine (JVM) and is often used for building scalable, high-performance applications. Initially developed by Martin Odersky, Scala is particularly popular in the fields of data science, web development, and distributed computing.

The language provides a concise, elegant syntax while offering powerful features such as immutability, pattern matching, and first-class functions.

Many large-scale applications, including those at Twitter X, LinkedIn, and Netflix, rely on Scala for its robust capabilities and seamless interoperability with Java.

Key Features

Object-Oriented & Functional – Combines the best of both programming paradigms for increased flexibility.

JVM Compatibility – Fully interoperable with Java, allowing developers to leverage existing Java libraries.

Static Typing – Detects errors at compile time, reducing runtime issues.

Scalability – Suitable for both small scripts and large-scale enterprise applications.

Concurrency Support – Offers a more concise and efficient way to handle concurrent programming.

Pattern Matching – Simplifies complex logic with powerful case classes and match expressions.

REPL (Read-Eval-Print Loop) – Interactive shell for testing and experimenting with code.

Integration with Big Data Tools – Works seamlessly with Apache Spark, Kafka, and Hadoop.

Expressive Syntax – Allows for cleaner, more readable code.

Rich Ecosystem – Supported by numerous frameworks like Play for web development and Akka for distributed applications.

User Interface

Scala does not have a graphical user interface (GUI) like traditional applications. Instead, it is used within development environments such as IntelliJ IDEA, Visual Studio Code, and Scala’s own REPL. These tools offer code completion, debugging, and syntax highlighting for a better programming experience.

For beginners, it is recommended to use IntelliJ IDEA with the plugin, as it provides a more streamlined setup with built-in support for Scala-specific development.

Installation and Setup

Download & Install Java Development Kit (JDK) – Scala runs on the JVM, so ensure JDK 8 or later is installed.

Install – Download the installer from scala-lang.org and follow the setup instructions.

Set Up an IDE – Install IntelliJ IDEA or Visual Studio Code and add the Scala plugin.

Verify Installation – Open a terminal or command prompt and type scala -version to check if Scala is installed correctly.

How to Use
  • Open a terminal or an IDE and create a new Scala project.
  • Write Scala code in a .scala file.
  • Use scalac filename.scala to compile the file.
  • Run the compiled program using scala filename.
  • Alternatively, use the interactive REPL (scala command) to execute Scala code in real-time.
FAQ

Is Scala easy to learn for beginners?
It has a steep learning curve due to its functional programming aspects, but it becomes easier with practice.

Can I use Scala with Java?
Yes, Scala is fully interoperable with Java, and you can use Java libraries within Scala code.

Is Scala still relevant in 2025?
Yes, Scala is widely used in big data, web development, and distributed systems, making it a valuable language.

Which IDE is best for Scala development?
IntelliJ IDEA with the Scala plugin is the most recommended IDE for Scala.

What are the main use cases of Scala?
Scala is mainly used for backend development, big data processing (Apache Spark), and distributed computing.

Alternatives

Python – A widely-used language for scripting and data science but lacks Scala’s static typing.

Java – Offers similar functionality but is more verbose.

Rust – Focuses on safety and performance but lacks JVM compatibility.

System Requirements
  • Operating System: Windows 10 or Windows 11
  • Processor: Intel Core i3 or higher
  • RAM: 4GB minimum (8GB recommended)
  • Disk Space: At least 500MB for installation
  • Java Version: JDK 8 or later
PROS
  • Combines object-oriented and functional programming.
  • Interoperable with Java.
  • Ideal for big data applications and distributed computing.
  • Expressive and concise syntax.
  • Strong static typing prevents runtime errors.
CONS
  • Slower compilation time compared to Java.
  • Limited adoption compared to mainstream languages like Python.
  • Requires JVM, adding an extra dependency.
  • Fewer learning resources compared to Java or Python.
Conclusion

Scala is a powerful programming language that blends object-oriented and functional paradigms, making it ideal for developers who need a scalable and efficient solution. While it has a steep learning curve, its advantages—such as JVM compatibility, concise syntax, and strong type safety—make it a compelling choice for enterprise applications, big data, and backend development.

For developers looking to work in big data, distributed computing, or large-scale enterprise systems, Scala is a solid investment. However, those seeking an easier learning experience may consider alternatives like Kotlin or Python.

Also Available: Download Scala for Mac

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  • Scala 3.7.1 Screenshots

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    Scala 3.7.1 Screenshot 1

What's new in this version:

Highlights of the release:
- Support for JDK 25
- Warn if interpolator uses toString
- Warn if match in block is not used for PartialFunction

Other changes and fixes:

Annotations:
- Approximate annotated types in wildApprox
- Keep unused annot on params

Erasure:
- Disallow context function types as value-class parameters

Experimental: Capture Checking:
- Two fixes to handling of abstract types with cap bounds
- Drop idempotent type maps
- Fix setup of class constructors

Experimental: Unroll:
- Fix

Experimental: Referencable Package Objects:
- Add experimental.packageObjectValues language setting

Exports:
- Respect export alias for default arg forwarder

Extension Methods:
- Extension check checks for no parens not empty parens

GADTs:
- Fix: Prevent GADT reasoning in pattern alternatives

Linting:
- Dealias when looking into imports
- Process Export for unused check
- Drill into QuotePattern bindings symbol info
- No warn implicit param of overriding method
- No warn for evidence params of marker traits such as NotGiven
- Mention extension in unused param warning
- Remove premature caching of lookups for unused lint
- Enclosing package p.q not visible as q

Inline:
- Revert recent changes to opaque type proxy generation

Initialization:
- Check for tasty error in template trees.

Metaprogramming: Compile-time:
- Fix issue with certain synthetics missing in compiletime.typechecks

Named Tuples:
- Call dealias after stripping type variables for tupleElementTypesUpTo
- Avoid loosing denotations of named types during integrate

Pattern Matching:
- Fix existing GADT constraints with introduced pattern-bound symbols

Pickling:
- Fix fromProduct synthesized code for parameter-dependent case classes

Presentation Compiler:
- Completions for requests just before string
- Fix: go to def should lead to all: apply, object and class
- Ignore ending $ when looking at end marker names
- Feature: Skip auto importing symbols we know are wrong in current context
- Show the Autofill completion case as what would be auto-filled
- Bugfix: Fix issues with annotations not detected
- Improvement: Rework IndexedContext to reuse the previously calculated scopes
- Pc: Properly adjust indentation when inlining blocks
- Improvement: Support using directives in worksheets
- Fix: show hover for synthetics if explicitly used
- Pc: fix: inline value when def indentation equals 2

Rewrites:
- Fix insertion of using in applications with trailing lambda syntax
- Test chars safely when highlighting

Reporting:
- Print infix operations in infix form

Runner:
- Bump Scala CLI to v1.8.0 (was v1.7.1)

Scaladoc:
- Chore: add support for 'abstract override' modifier
- Scaladoc: fix generation of unique header ids

Settings:
- Filter allowed source versions by import and by settings

Typer:
- Disallow context bounds in type lambdas
- Refuse trailing type parameters in extractors
- Fix
- Fix isGenericArrayElement for higher-kinded types
- Tighten condition to preserve denotation in IntegrateMap

Transform:
- Mix in the productPrefix hash statically in case class hashCode

Value Classes:
- Fix: Disallow value classes extending type aliases of AnyVal