The Standard Template Library (STL) is a software library originally designed by Alexander Stepanov for the C++ programming language that influenced many parts of the C++ Standard Library. It provides four components called algorithms, containers, functions, and iterators.

The STL provides a set of common classes for C++, such as containers and associative arrays, that can be used with any built-in type and with any user-defined type that supports some elementary operations (such as copying and assignment). STL algorithms are independent of containers, which significantly reduces the complexity of the library.

The STL achieves its results through the use of templates. This approach provides compile-time polymorphism that is often more efficient than traditional run-time polymorphism. Modern C++ compilers are tuned to minimize abstraction penalties arising from heavy use of the STL.

The STL was created as the first library of generic algorithms and data structures for C++, with four ideas in mind: generic programming, abstractness without loss of efficiency, the Von Neumann computation model, and value semantics.

The STL and the C++ Standard Library are two distinct entities.

History 

In November 1993 Alexander Stepanov presented a library based on generic programming to the ANSI/ISO committee for C++ standardization. The committee's response was overwhelmingly favorable and led to a request from Andrew Koenig for a formal proposal in time for the March 1994 meeting.  The committee had several requests for changes and extensions and the committee members met with Stepanov and Meng Lee to help work out the details. The requirements for the most significant extension (associative containers) had to be shown to be consistent by fully implementing them, a task Stepanov delegated to David Musser.  A proposal received final approval at the July 1994 ANSI/ISO committee meeting.  Subsequently, the Stepanov and Lee document 17 was incorporated into the ANSI/ISO C++ draft standard (1, parts of clauses 17 through 27).

The prospects for early widespread dissemination of the STL were considerably improved with Hewlett-Packard's decision to make its implementation freely available on the Internet in August 1994. This implementation, developed by Stepanov, Lee, and Musser during the standardization process, became the basis of many implementations offered by compiler and library vendors today.

Composition

Containers 
The STL contains sequence containers and associative containers. The containers are objects that store data. The standard sequence containers include , , and . The standard associative containers are , , , , , ,  and . There are also container adaptors , , and , that are containers with specific interface, using other containers as implementation.

{| class="wikitable"
|-
! Container
! Description
|-
! colspan="2" | Simple containers
|-
! pair
| The pair container is a simple associative container consisting of a 2-tuple of data elements or objects, called 'first' and 'second', in that fixed order. The STL 'pair' can be assigned, copied and compared. The array of objects allocated in a map or hash_map (described below) are of type 'pair' by default, where all the 'first' elements act as the unique keys, each associated with their 'second' value objects.
|-
! colspan=2| Sequences (arrays/linked lists): ordered collections
|-
! vector
| a dynamic array, like C array (i.e., capable of random access) with the ability to resize itself automatically when inserting or erasing an object. Inserting an element to the back of the vector at the end takes amortized constant time. Removing the last element takes only constant time, because no resizing happens. Inserting and erasing at the beginning or in the middle is linear in time.
A specialization for type bool exists, which optimizes for space by storing bool values as bits.
|-
! list
| a doubly linked list; elements are not stored in contiguous memory. Opposite performance from a vector. Slow lookup and access (linear time), but once a position has been found, quick insertion and deletion (constant time).
|-
! slist
| a singly linked list; elements are not stored in contiguous memory. Opposite performance from a vector. Slow lookup and access (linear time), but once a position has been found, quick insertion and deletion (constant time). It has slightly more efficient insertion and deletion, and uses less memory than a doubly linked list, but can only be iterated forwards. It is implemented in the C++ standard library as .
|-
! deque' (double-ended queue)
|a vector with insertion/erase at the beginning or end in amortized constant time, however lacking some guarantees on iterator validity after altering the deque.
|-
! colspan=2| Container adaptors
|-
! queue
| Provides FIFO queue interface in terms of /// operations.
Any sequence supporting operations , , , and  can be used to instantiate queue (e.g.  and ).
|-
! priority queue
| Provides priority queue interface in terms of  operations (the element with the highest priority is on top).
Any random-access sequence supporting operations , , and  can be used to instantiate priority_queue (e.g.  and ). It is implemented using a heap.

Elements should additionally support comparison (to determine which element has a higher priority and should be popped first).
|-
! stack
| Provides LIFO stack interface in terms of  operations (the last-inserted element is on top).
Any sequence supporting operations , , and  can be used to instantiate stack (e.g. , , and ).
|-
! colspan=2| Associative containers: unordered collections
|-
! set
| a mathematical set; inserting/erasing elements in a set does not invalidate iterators pointing in the set. Provides set operations union, intersection, difference, symmetric difference and test of inclusion. Type of data must implement comparison operator  or custom comparator function must be specified; such comparison operator or comparator function must guarantee strict weak ordering, otherwise behavior is undefined. Typically implemented using a self-balancing binary search tree.
|-
! multiset
| same as a set, but allows duplicate elements (mathematical multiset).
|-
! map
| an associative array; allows mapping from one data item (a key) to another (a value). Type of key must implement comparison operator  or custom comparator function must be specified; such comparison operator or comparator function must guarantee strict weak ordering, otherwise behavior is undefined. Typically implemented using a self-balancing binary search tree.
|-
! multimap
| same as a map, but allows duplicate keys.
|-
! hash_sethash_multisethash_maphash_multimap
| similar to a set, multiset, map, or multimap, respectively, but implemented using a hash table; keys are not ordered, but a hash function must exist for the key type. These types were left out of the C++ standard; similar containers were standardized in C++11, but with different names ( and ).
|-
! colspan=2| Other types of containers
|-
! bitset
| stores series of bits similar to a fixed-sized vector of bools. Implements bitwise operations and lacks iterators. Not a sequence. Provides random access.
|-
! valarray
| Another array data type, intended for numerical use (especially to represent vectors and matrices); the C++ standard allows specific optimizations for this intended purpose. According to Josuttis,  was badly designed, by people "who left the [C++ standard] committee a long time before the standard was finished", and expression template libraries are to be preferred. A proposed rewrite of the  part of the standard in this vein was rejected, instead becoming a permission to implement it using expression template.
|}

 Iterators 
The STL implements five different types of iterators. These are input iterators (that can only be used to read a sequence of values), output iterators (that can only be used to write a sequence of values), forward iterators (that can be read, written to, and move forward), bidirectional iterators (that are like forward iterators, but can also move backwards) and s (that can move freely any number of steps in one operation).

A fundamental STL concept is a range'' which is a pair of iterators that designate the beginning and end of the computation, and most of the library's algorithmic templates that operate on data structures have interfaces that use ranges.

It is possible to have bidirectional iterators act like random-access iterators, so moving forward ten steps could be done by simply moving forward a step at a time a total of ten times. However, having distinct random-access iterators offers efficiency advantages. For example, a vector would have a random-access iterator, but a list only a bidirectional iterator.

Iterators are the major feature that allow the generality of the STL. For example, an algorithm to reverse a sequence can be implemented using bidirectional iterators, and then the same implementation can be used on lists, vectors and deques. User-created containers only have to provide an iterator that implements one of the five standard iterator interfaces, and all the algorithms provided in the STL can be used on the container.

This generality also comes at a price at times. For example, performing a search on an associative container such as a map or set can be much slower using iterators than by calling member functions offered by the container itself. This is because an associative container's methods can take advantage of knowledge of the internal structure, which is opaque to algorithms using iterators.

Algorithms 
A large number of algorithms to perform activities such as searching and sorting are provided in the STL, each implemented to require a certain level of iterator (and therefore will work on any container that provides an interface by iterators). Searching algorithms like  and  use binary search and like sorting algorithms require that the type of data must implement comparison operator  or custom comparator function must be specified; such comparison operator or comparator function must guarantee strict weak ordering. Apart from these, algorithms are provided for making heap from a range of elements, generating lexicographically ordered permutations of a range of elements, merge sorted ranges and perform union, intersection, difference of sorted ranges.

Functors 
The STL includes classes that overload the function call operator (). Instances of such classes are called functors or function objects. Functors allow the behavior of the associated function to be parameterized (e.g. through arguments passed to the functor's constructor) and can be used to keep associated per-functor state information along with the function. Since both functors and function pointers can be invoked using the syntax of a function call, they are interchangeable as arguments to templates when the corresponding parameter only appears in function call contexts.

A particularly common type of functor is the predicate. For example, algorithms like  take a unary predicate that operates on the elements of a sequence. Algorithms like sort, partial_sort, nth_element and all sorted containers use a binary predicate that must provide a strict weak ordering, that is, it must behave like a membership test on a transitive, non-reflexive and asymmetric binary relation. If none is supplied, these algorithms and containers use less by default, which in turn calls the less-than-operator <.

Criticisms

Quality of implementation of C++ compilers 
The Quality of Implementation (QoI) of the C++ compiler has a large impact on usability of the STL (and templated code in general):
 Error messages involving templates tend to be very long and difficult to decipher. This problem has been considered so severe that a number of tools have been written that simplify and prettyprint STL-related error messages to make them more comprehensible.
 Careless use of templates can lead to code bloat. This has been countered with special techniques within STL implementations (e.g. using void* containers internally and other "diet template" techniques) and improving compilers' optimization techniques. However, this symptom is similar to naively manually copying a set of functions to work with a different type, in that both can be avoided with care and good technique.
 Template instantiation can increase compilation time and memory usage, in exchange for typically reducing runtime decision-making (e.g. via virtual functions). Until the compiler technology improves enough, this problem can be only partially eliminated by careful coding, avoiding certain idioms, and simply not using templates where they are not appropriate or where compile-time performance is prioritized.

Other issues 
 Initialization of STL containers with constants within the source code is not as easy as data structures inherited from C (addressed in C++11 with initializer lists).
 STL containers are not intended to be used as base classes (their destructors are deliberately non-virtual); deriving from a container is a common mistake.
 The concept of iterators as implemented by the STL can be difficult to understand at first: for example, if a value pointed to by the iterator is deleted, the iterator itself is then no longer valid. This is a common source of errors. Most implementations of the STL provide a debug mode that is slower, but can locate such errors if used. A similar problem exists in other languages, for example Java. Ranges have been proposed as a safer, more flexible alternative to iterators.
 Certain iteration patterns do not map to the STL iterator model. For example, callback enumeration APIs cannot be made to fit the STL model without the use of coroutines, which are platform-dependent or unavailable, and will be outside the C++ standard until C++20.
 Compiler compliance does not guarantee that Allocator objects, used for memory management for containers, will work with state-dependent behavior. For example, a portable library can't define an allocator type that will pull memory from different pools using different allocator objects of that type. (Meyers, p. 50) (addressed in C++11).
 The set of algorithms is not complete: for example, the  algorithm was left out, though it has been added in C++11.

Implementations 
 Original STL implementation by Stepanov and Lee. 1994, Hewlett-Packard. No longer maintained.
 SGI STL, based on original implementation by Stepanov & Lee. 1997, Silicon Graphics. No longer maintained.
 STLPort, based on SGI STL
 Rogue Wave Standard Library (HP, SGI, SunSoft, Siemens-Nixdorf) 
 Apache C++ Standard Library (The starting point for this library was the 2005 version of the Rogue Wave standard library)
 Libstdc++ uses code derived from SGI STL for the algorithms and containers defined in C++03.
 Dinkum STL library by P.J. Plauger
 The Microsoft STL which ships with Visual C++ is a licensed derivative of Dinkum's STL. Source is available on Github.
 EASTL, developed by Paul Pedriana at Electronic Arts and published as part of EA Open Source.

See also 
 List of C++ template libraries
 C++11
 Boost C++ Libraries

Notes

References 

 Alexander Stepanov and Meng Lee, The Standard Template Library. HP Laboratories Technical Report 95-11(R.1), 14 November 1995. (Revised version of A. A. Stepanov and M. Lee: The Standard Template Library, Technical Report X3J16/94-0095, WG21/N0482, ISO Programming Language C++ Project, May 1994.)
  Stepanov reflects about the design of the STL.

External links 
 C++ reference
 C++ STL reference, includes C++11 features
 STL programmer's guide from SGI. Originally at  (retired content).
 Apache (formerly Rogue Wave) C++ Standard Library Class Reference
 Apache (formerly Rogue Wave) C++ Standard Library User Guide
 Bjarne Stroustrup on The emergence of the STL (Page 5, Section 3.1)
 C++ Standard Specification

C++ Standard Library
Generic programming