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  2. Comparison of API simulation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_API...

    The tools listed here support emulating [1] or simulating APIs and software systems.They are also called [2] API mocking tools, service virtualization tools, over the wire test doubles and tools for stubbing and mocking HTTP(S) and other protocols. [1]

  3. Graph Query Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Query_Language

    Current graph database products and projects often support a limited version of the model described here. For example, Apache Tinkerpop [13] forces each node and each edge to have a single label; Cypher allows nodes to have zero to many labels, but relationships only have a single label (called a reltype). Neo4j's database supports undocumented ...

  4. GraphQL - Wikipedia

    en.wikipedia.org/wiki/GraphQL

    GraphQL is a data query and manipulation language for APIs that allows a client to specify what data it needs ("declarative data fetching"). A GraphQL server can fetch data from separate sources for a single client query and present the results in a unified graph . [ 2 ]

  5. Selenium (software) - Wikipedia

    en.wikipedia.org/wiki/Selenium_(software)

    Selenium Grid is a server that allows tests to use web browser instances running on remote machines. With Selenium Grid, one server acts as the central hub. Tests contact the hub to obtain access to browser instances. The hub has a list of servers that provide access to browser instances (WebDriver nodes), and lets tests use these instances.

  6. GraphML - Wikipedia

    en.wikipedia.org/wiki/GraphML

    A GraphML file consists of an XML file containing a graph element, within which is an unordered sequence of node and edge elements. Each node element should have a distinct id attribute, and each edge element has source and target attributes that identify the endpoints of an edge by having the same value as the id attributes of those endpoints.

  7. Grid computing - Wikipedia

    en.wikipedia.org/wiki/Grid_computing

    “Distributed” or “grid” computing in general is a special type of parallel computing that relies on complete computers (with onboard CPUs, storage, power supplies, network interfaces, etc.) connected to a network (private, public or the Internet) by a conventional network interface producing commodity hardware, compared to the lower efficiency of designing and constructing a small ...

  8. Unstructured grid - Wikipedia

    en.wikipedia.org/wiki/Unstructured_grid

    An unstructured grid or irregular grid is a tessellation of a part of the Euclidean plane or Euclidean space by simple shapes, such as triangles or tetrahedra, in an irregular pattern. Grids of this type may be used in finite element analysis when the input to be analyzed has an irregular shape.

  9. Multigrid method - Wikipedia

    en.wikipedia.org/wiki/Multigrid_method

    The coarse problem, while cheaper to solve, is similar to the fine grid problem in that it also has short- and long-wavelength errors. It can also be solved by a combination of relaxation and appeal to still coarser grids.