View a list of notable programming languages grouped by type below.
Assembly languages directly correspond to a machine language (see below) so machine code instructions appear in a form understandable by humans. Assembly languages lets programmers use symbolic addresses, which the assembler converts to absolute addresses. Most assemblers also support macros and symbolic constants.
Command-line interface (CLI) languages are also called batch languages, or job control languages. Examples:
Message passing languages provide language constructs for concurrency. The predominant paradigm for concurrency in mainstream languages such as Java is shared memory concurrency based on monitors. Concurrent languages that make use of message passing have generally been inspired by CSP or the ?-calculus, but have had little commercial success, except for Ada and Erlang. Ada is a multipurpose language and concurrent programming is only one option available.
The curly-bracket or curly-brace programming languages have a syntax that defines statement blocks using the curly bracket or brace characters
}. This syntax originated with BCPL (1966), and was popularized by C (1972). Many curly-bracket languages descend from or are strongly influenced by C. Examples of curly-bracket languages include:
Dataflow programming languages rely on a (usually visual) representation of the flow of data to specify the program. Frequently used for reacting to discrete events or for processing streams of data. Examples of dataflow languages include:
Data-oriented languages provide powerful ways of searching and manipulating the relations that have been described as entity relationship tables which map one set of things into other sets. Examples of data-oriented languages include:
Data-structured languages are those where logic is structured in ways similar to their data. Such languages are generally well suited to reflection and introspection. There are three main types:
Assembly languages that statically link data inline with instructions can also be considered data-structured, in the most primitive way.
Decision tables can be used as an aid to clarifying the logic before writing a program in any language, but in the 1960s a number of languages were developed where the main logic is expressed directly in the form of a decision table, including:
Declarative languages describe a problem rather than defining a solution. Declarative programming stands in contrast to imperative programming via imperative programming languages, where serial orders (imperatives) are given to a computer. In addition to the examples given just below, all (pure) functional and logic-based programming languages are also declarative. In fact, "functional" and "logical" constitute the usual subcategories of the declarative category.
Source embeddable languages embed small pieces of executable code inside a piece of free-form text, often a web page.
Client-side embedded languages are limited by the abilities of the browser or intended client. They aim to provide dynamism to web pages without the need to recontact the server.
Server-side embedded languages are much more flexible, since almost any language can be built into a server. The aim of having fragments of server-side code embedded in a web page is to generate additional markup dynamically; the code itself disappears when the page is served, to be replaced by its output.
The above examples are particularly dedicated to this purpose. A large number of other languages, such as Erlang, Scala, Perl and Ruby can be adapted (for instance, by being made into Apache modules).
A wide variety of dynamic or scripting languages can be embedded in compiled executable code. Basically, object code for the language's interpreter needs to be linked into the executable. Source code fragments for the embedded language can then be passed to an evaluation function as strings. Application control languages can be implemented this way, if the source code is input by the user. Languages with small interpreters are preferred.
Languages developed primarily for the purpose of teaching and learning of programming.
An esoteric programming language is a programming language designed as a test of the boundaries of computer programming language design, as a proof of concept, or as a joke.
Extension programming languages are languages embedded into another program and used to harness its features in extension scripts.
Fourth-generation programming languages are high-level languages built around database systems. They are generally used in commercial environments.
Functional programming languages define programs and subroutines as mathematical functions. Many so-called functional languages are "impure", containing imperative features. Many functional languages are tied to mathematical calculation tools. Functional languages include:
In electronics, a Hardware description language or HDL is a specialized computer language used to describe the structure, design and operation of electronic circuits, and most commonly, digital logic circuits. The two most widely used and well-supported HDL varieties used in industry are Verilog and VHDL. Hardware description languages include:
Imperative programming languages may be multi-paradigm and appear in other classifications. Here is a list of programming languages that follow the imperative paradigm:
Interactive mode languages act as a kind of shell: expressions or statements can be entered one at a time, and the result of their evaluation is seen immediately. The interactive mode is also known as a REPL (read-eval-print loop).
Interpreted languages are programming languages in which programs may be executed from source code form, by an interpreter. Theoretically, any language can be compiled or interpreted, so the term *interpreted language* generally refers to languages that are commonly interpreted rather than compiled.
Iterative languages are built around or offering generators.
Little languages serve a specialized problem domain.
Logic-based languages specify a set of attributes that a solution must have, rather than a set of steps to obtain a solution. Examples:
Machine languages are directly executable by a computer's CPU. They are typically formulated as bit patterns, usually represented in octal or hexadecimal. Each bit pattern causes the circuits in the CPU to execute one of the fundamental operations of the hardware. The activation of specific electrical inputs (e.g., CPU package pins for microprocessors), and logical settings for CPU state values, control the processor's computation. Individual machine languages are specific to a family of processors; machine-language code for one family of processors cannot run directly on processors in another family unless the processors in question have additional hardware to support it (for example, DEC VAX processors included a PDP-11 compatibility mode). They are (essentially) always defined by the CPU developer, not by 3rd parties. The symbolic version, the processor's assembly language, is also defined by the developer, in most cases. Some commonly used machine code instruction sets are:
Macro languages transform one source code file into another. A "macro" is essentially a short piece of text that expands into a longer one (not too be confused with hygienic macros), possibly with parameter substitution. They are often used to preprocess source code. Preprocessors can also supply facilities like file inclusion.
Macro languages may be restricted to acting on specially labeled code regions (pre-fixed with a
# in the case of the C preprocessor). Alternatively, they may not, but in this case it is still often undesirable to (for instance) expand a macro embedded in a string literal, so they still need a rudimentary awareness of syntax. That being the case, they are often still applicable to more than one language. Contrast with source-embeddable languages like PHP, which are fully featured.
Metaprogramming is writing of programs that write or manipulate other programs (or themselves) as their data or that do part of the work that is otherwise done at run time during compile time. In many cases, this allows programmers to get more done in the same amount of time as they would take to write all the code manually.
Multiparadigm languages support more than one programming paradigm. They allow a program to use more than one programming style. The goal is to allow programmers to use the best tool for a job, admitting that no one paradigm solves all problems in the easiest or most efficient way.
Class-based Object-oriented programming languages support objects defined by their class. Class definitions include member data. Message passing is a key concept (if not the key concept) in Object-oriented languages.
Polymorphic functions parameterized by the class of some of their arguments are typically called methods. In languages with single dispatch, classes typically also include method definitions. In languages with multiple dispatch, methods are defined by generic functions. There are exceptions where single dispatch methods are generic functions (e.g. Bigloo's object system).
Prototype-based languages are object-oriented languages where the distinction between classes and instances has been removed:
Off-side rule languages are those where blocks are formed, indicated, by their indentation.
Procedural programming languages are based on the concept of the unit and scope (the data viewing range of an executable code statement). A procedural program is composed of one or more units or modules, either user coded or provided in a code library; each module is composed of one or more procedures, also called a function, routine, subroutine, or method, depending on the language. Examples of procedural languages include:
Reflective languages let programs examine and possibly modify their high level structure at runtime. This is most common in high-level virtual machine programming languages like Smalltalk, and less common in lower-level programming languages like C. Languages and platforms supporting reflection:
Rule-based languages instantiate rules when activated by conditions in a set of data. Of all possible activations, some set is selected and the statements belonging to those rules execute. Rule-based languages include:
"Scripting language" has two seemingly different, but in fact similar meanings. In a traditional sense, scripting languages are designed to automate frequently used tasks that usually involve calling or passing commands to external programs. Many complex application programs provide built-in languages that let users automate tasks. Those that are interpretive are often called scripting languages.
Recently, many applications have built-in traditional scripting languages, such as Perl or Visual Basic, but there are quite a few native scripting languages still in use. Many scripting languages are compiled to bytecode and then this (usually) platform-independent bytecode is run through a virtual machine (compare to Java virtual machine).
Synchronous programming languages are optimized for programming reactive systems, systems that are often interrupted and must respond quickly. Many such systems are also called realtime systems, and are used often in embedded systems. Examples:
Visual programming languages let users specify programs in a two-(or more)-dimensional way, instead of as one-dimensional text strings, via graphic layouts of various types.
Some dataflow programming languages are also visual languages.
Computer scientist Niklaus Wirth designed and implemented several influential languages.
These are languages based on or that operate on XML.
|Business Intelligence (BI)|
|Business Process Automation (BPA)|
|Business Process Management (BPM)|
|Content Management (CMS)|
|Customer Relationship Management (CRM)|
|Dynamics CRM Consulting|
|Enterprise Application Integration (EAI)|
|Enterprise Architecture Management (EAM)|
|Enterprise Architecture Planning (EAP)|
|Enterprise Content Management (ECM)|
|Enterprise Resource Planning (ERP)|
|Federal Enterprise Architecture (FEA)|
|Mobile Application Development|
|Web Application Development|
|Programming Languages by Type|
|XML Markup Languages|
|-- Integration Testing|
|-- Load Testing|
|-- Performance Testing|
|-- System Testing|
|-- Unit Testing|
|-- Usability Testing|
|Software Configuration Management|
|Software Engineering Management|
|Software Development Process|
|Systems Development Life Cycle|
|ASP.NET CMS Software|
|Java CMS Software|
|PHP CMS Software|
|Python CMS Software|
|Ruby on Rails CMS Software|
|CMS Made Simple|
|IBM Web Content Management|
|Ghost Blogging Platform|
|Bpm online CRM|
|Adaptive Server Enterprise|
|Advantage Database Server|
|Informix Dynamic Server|
|Microsoft SQL Server|
|Microsoft SQL Server Compact|
|IBM WebSphere Message Broker|
|JBoss Enterprise SOA Platform|
|Jitterbit Integration Server|
|Magic Software Enterprises|
|Microsoft BizTalk Server|
|Oracle SOA Suite|
|Microsoft Dynamics AX|
|Microsoft Dynamics GP|
|Microsoft Dynamics NAV|
|Microsoft Dynamics SL|
|Oracle Fusion Applications|
|SAP Business One|
|Application Portfolio Management|
|Architecture of Integrated Information Systems|
|Business Process Automation|
|Business Process Management|
|Customer Relationship Management|
|Enterprise Application Integration|
|Enterprise Asset Management|
|Enterprise Architecture Management|
|Enterprise Architecture Planning|
|Enterprise Architecture Assessment Framework|
|Enterprise Architecture Framework|
|Enterprise Content Management|
|Enterprise Data Management|
|Enterprise Data Modeling|
|Enterprise Life Cycle|
|Enterprise Mobile Application|
|Enterprise Mobility Management|
|Enterprise Resource Planning|
|Enterprise Service Bus|
|Enterprise Unified Process|
|Federal Enterprise Architecture|
|IT Portfolio Management|
|Master Data Management|
|Supply Chain Management|
|Workflow Management Systems Explained|
|Accounting Software Comparison|
|Build Automation Software|
|Business Integration Software Comparison|
|Cloud Computing Comparison|
|Computer-aided Design Editors Comparison|
|Computer Simulation Software|
|Concept and Mind Mapping Software|
|Content Management Systems (CMS)|
|CRM Systems Comparison|
|Database Tools Comparison|
|Data Modeling Tools Comparison|
|Development Estimation Software|
|ERP Software Packages|
|Information Graphics Software|
|Issue Tracking Systems Comparison|
|Learning Management Systems|
|Mail Servers Comparison|
|Network Monitoring Systems Comparison|
|Open-source Health Software|
|Operating Systems Comparison|
|Professional Services Automation (PSA) Systems|
|Project Management Software|
|Shopping Cart Software|
|Source Code Hosting Facilities|
|Software Package Management Systems|
|System Dynamics Software|
|Unified Modeling Language Tools|
|Web Frameworks Comparison|
|Web Server Software Comparison|
|Wiki software Comparison|
|Financial Services Industry|
|Health Care Industry|
|Introduction to Computers|
|Introduction to Information Technology|
|Introduction to Programming|
|Introduction to Databases|
|Introduction to Computer Networks|
|Introduction to Computer Science|
|Introduction to Programming in Java|
|Introduction to Systems Administration|
|Introduction to Web Development|
|Reference and Study Guides|
|Microsoft SQL Server|
|Oracle SQL Fundamentals|
|Django web framework|
|Ruby on Rails|
|MS SQL Server|
|Virtual Machine Manager|
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