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scala/scala

0
View on GitHub↗
14,548 stars·3,083 forks·Scala·Apache-2.0·32 viewswww.scala-lang.org↗

Scala

Scala is a statically typed programming language and compiler that combines object-oriented and functional programming paradigms. It serves as a cross-platform runtime language capable of targeting the Java Virtual Machine and JavaScript to share logic between backend servers and web frontends.

The project provides a functional programming framework with immutable data structures and higher-order functions to build reliable concurrent and distributed applications. It distinguishes itself through deep interoperability with Java and JavaScript ecosystems and the ability to transform code into native binaries for fast startup times and simplified deployment.

The standard library covers a wide range of capabilities, including big data processing across distributed clusters, full-stack web development with type-safe data models, and the creation of command-line tooling. It also includes core APIs for managing data collections, file system interactions, network requests, and concurrency primitives.

Features

  • Functional Programming Frameworks - Provides a functional programming framework featuring immutable data structures and higher-order functions.
  • Big Data Processing - Provides frameworks for analyzing and processing massive volumes of data across distributed systems.
  • Persistent Collection Implementations - Provides persistent collection implementations that preserve state through structural sharing for safe concurrent access.
  • Concurrent Task Execution - Manages asynchronous computations and concurrent task execution to improve throughput.
  • Distributed Systems - Provides the foundation for building and managing horizontally scalable distributed applications across clusters.
  • Concurrent Data Structures - Provides thread-safe concurrent data structures for building reliable multi-core and distributed applications.
  • Cross-Language Bridges - Bridges the Java and JavaScript ecosystems, allowing code to call libraries and export modules across runtimes.
  • Multi-Target Runtimes - Targets both the JVM and JavaScript to share logic across backend servers and web frontends.
  • Data Collection Libraries - Provides a comprehensive set of immutable, mutable, and concurrent data structures for organizing and manipulating collections.
  • First-Class Functions - Provides first-class functions that can be assigned to variables and passed as arguments.
  • Language Interoperability - Implements deep interoperability with the Java ecosystem, allowing the use of Java libraries within a functional paradigm.
  • Closure Captures - Implements closure-specific variable capture semantics to maintain state across different execution contexts.
  • Multi-Paradigm Programming Languages - Combines object-oriented and functional programming paradigms in a statically typed language for the JVM.
  • JVM Bytecode Compilers - Translates high-level source code into JVM bytecode for cross-platform execution on the Java Virtual Machine.
  • Runtime Type Dispatching - Implements runtime type dispatching to resolve function calls by matching expected types against implementations.
  • Standard Libraries - Includes a comprehensive standard library for data collections, file system interactions, and network requests.
  • Statically Typed Compilers - Transforms high-level source code into JVM bytecode using strong type checking and inference.
  • Language Mixins - Provides trait-based mixin composition to combine independent modules of functionality into a single class.
  • Multiplatform Code Sharing - Employs multiplatform code sharing patterns to run common data models and logic on both frontend and backend.
  • Distributed Application Building - Provides a framework for constructing applications that run as a single unit across distributed machines.
  • Ecosystem Interoperability - Facilitates ecosystem interoperability by integrating external libraries from various runtimes.
  • Data Processing and Machine Learning - Enables execution of distributed relational operations and machine learning algorithms across compute clusters.
  • Scripting and CLI - Provides tools for building low-configuration shell scripts and command-line interfaces.
  • Native Binary Toolchains - Allows transformation of high-level source code into platform-specific native binaries for direct execution.
  • Command Line Frameworks - Enables the creation of system utilities and scripts with fast startup and streamlined dependency management.
  • Native AOT Compilation - Implements ahead-of-time compilation to native machine instructions for faster startup and reduced memory usage.
  • Command Line Utilities - Enables the creation of terminal-based command line utilities to automate system tasks.
  • File Read and Write Operations - Provides standard library primitives for local file system read and write operations.
  • Reflection APIs - Provides standardized APIs for performing runtime meta-operations and inspecting program structures.
  • Reflective Metadata Programming - Implements techniques for inspecting and manipulating class structures and metadata at runtime.
  • Full-Stack Web Development - Facilitates full-stack development by sharing type-safe data models and logic between the backend and frontend.
  • HTTP Client Requests - Includes capabilities for sending HTTP requests to retrieve or send data across the web.

Star history

Star history chart for scala/scalaStar history chart for scala/scala

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does scala/scala do?

Scala is a statically typed programming language and compiler that combines object-oriented and functional programming paradigms. It serves as a cross-platform runtime language capable of targeting the Java Virtual Machine and JavaScript to share logic between backend servers and web frontends.

What are the main features of scala/scala?

The main features of scala/scala are: Functional Programming Frameworks, Big Data Processing, Persistent Collection Implementations, Concurrent Task Execution, Distributed Systems, Concurrent Data Structures, Cross-Language Bridges, Multi-Target Runtimes.

Which projects share features with scala/scala?

Projects with overlapping indexed features include: clojure/clojure — Clojure is a general-purpose, functional programming language hosted on the Java Virtual Machine. It is a homoiconic… marijnh/eloquent-javascript — Eloquent-JavaScript is a comprehensive JavaScript programming textbook and interactive coding tutorial designed for… gopl-zh/gopl-zh.github.com — This project is a Chinese translation of a comprehensive guide to the Go programming language. It serves as a… oils-for-unix/oils — Oils is a Unix shell interpreter and scripting language runtime that combines a modern shell language with POSIX and… carp-lang/carp — Carp is a statically typed Lisp compiler that compiles Lisp-like syntax directly to C source code, enabling seamless… crazyguitar/pysheeet — pysheeet is a technical reference library providing a curated collection of code snippets and implementation patterns…