Control Flow

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

The JacpFX/DataFX-flow plugin allows to inject JacpFX context to DataFX-flow controllers.

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

AxonIQ Flow Control library

Beehive's goal is to make J2EE programming easier by building a simple object model on J2EE and Struts. Using the new JSR-175 annotations, Beehive reduces the coding necessary for J2EE. The initial Beehive project has three pieces. NetUI: An annotation-driven web application programming framework that is built atop Struts. NetUI centralizes navigation logic, state, metadata, and exception handling in a single encapsulated and reusable Page Flow Controller class. In addition, NetUI provides a set of JSP tags for rendering HTML / XHTML and higher-level UI constructs such as data grids and trees and has first-class integration with JavaServer Faces and Struts. Controls: A lightweight, metadata-driven component framework for building that reduces the complexity of being a client of enterprise resources. Controls provide a unified client abstraction that can be implemented to access a diverse set of enterprise resources using a single configuration model. In addition, Beehive includes a set of system controls that are abstractions for low-level J2EE resource APIs such as EJB, JMS, JDBC, and web services.

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

brainslug is a control flow abstraction and workflow library

A plugin for making control flow decision within a pipeline

brainslug is a control flow abstraction and workflow library

Sonatype helps open source projects to set up Maven repositories on https://oss.sonatype.org/

Sonatype helps open source projects to set up Maven repositories on https://oss.sonatype.org/

Beehive's goal is to make J2EE programming easier by building a simple object model on J2EE and Struts. Using the new JSR-175 annotations, Beehive reduces the coding necessary for J2EE. The initial Beehive project has three pieces. NetUI: An annotation-driven web application programming framework that is built atop Struts. NetUI centralizes navigation logic, state, metadata, and exception handling in a single encapsulated and reusable Page Flow Controller class. In addition, NetUI provides a set of JSP tags for rendering HTML / XHTML and higher-level UI constructs such as data grids and trees and has first-class integration with JavaServer Faces and Struts. Controls: A lightweight, metadata-driven component framework for building that reduces the complexity of being a client of enterprise resources. Controls provide a unified client abstraction that can be implemented to access a diverse set of enterprise resources using a single configuration model. In addition, Beehive includes a set of system controls that are abstractions for low-level J2EE resource APIs such as EJB, JMS, JDBC, and web services.

Beehive's goal is to make J2EE programming easier by building a simple object model on J2EE and Struts. Using the new JSR-175 annotations, Beehive reduces the coding necessary for J2EE. The initial Beehive project has three pieces. NetUI: An annotation-driven web application programming framework that is built atop Struts. NetUI centralizes navigation logic, state, metadata, and exception handling in a single encapsulated and reusable Page Flow Controller class. In addition, NetUI provides a set of JSP tags for rendering HTML / XHTML and higher-level UI constructs such as data grids and trees and has first-class integration with JavaServer Faces and Struts. Controls: A lightweight, metadata-driven component framework for building that reduces the complexity of being a client of enterprise resources. Controls provide a unified client abstraction that can be implemented to access a diverse set of enterprise resources using a single configuration model. In addition, Beehive includes a set of system controls that are abstractions for low-level J2EE resource APIs such as EJB, JMS, JDBC, and web services.

Beehive's goal is to make J2EE programming easier by building a simple object model on J2EE and Struts. Using the new JSR-175 annotations, Beehive reduces the coding necessary for J2EE. The initial Beehive project has three pieces. NetUI: An annotation-driven web application programming framework that is built atop Struts. NetUI centralizes navigation logic, state, metadata, and exception handling in a single encapsulated and reusable Page Flow Controller class. In addition, NetUI provides a set of JSP tags for rendering HTML / XHTML and higher-level UI constructs such as data grids and trees and has first-class integration with JavaServer Faces and Struts. Controls: A lightweight, metadata-driven component framework for building that reduces the complexity of being a client of enterprise resources. Controls provide a unified client abstraction that can be implemented to access a diverse set of enterprise resources using a single configuration model. In addition, Beehive includes a set of system controls that are abstractions for low-level J2EE resource APIs such as EJB, JMS, JDBC, and web services.

Beehive's goal is to make J2EE programming easier by building a simple object model on J2EE and Struts. Using the new JSR-175 annotations, Beehive reduces the coding necessary for J2EE. The initial Beehive project has three pieces. NetUI: An annotation-driven web application programming framework that is built atop Struts. NetUI centralizes navigation logic, state, metadata, and exception handling in a single encapsulated and reusable Page Flow Controller class. In addition, NetUI provides a set of JSP tags for rendering HTML / XHTML and higher-level UI constructs such as data grids and trees and has first-class integration with JavaServer Faces and Struts. Controls: A lightweight, metadata-driven component framework for building that reduces the complexity of being a client of enterprise resources. Controls provide a unified client abstraction that can be implemented to access a diverse set of enterprise resources using a single configuration model. In addition, Beehive includes a set of system controls that are abstractions for low-level J2EE resource APIs such as EJB, JMS, JDBC, and web services.

Beehive's goal is to make J2EE programming easier by building a simple object model on J2EE and Struts. Using the new JSR-175 annotations, Beehive reduces the coding necessary for J2EE. The initial Beehive project has three pieces. NetUI: An annotation-driven web application programming framework that is built atop Struts. NetUI centralizes navigation logic, state, metadata, and exception handling in a single encapsulated and reusable Page Flow Controller class. In addition, NetUI provides a set of JSP tags for rendering HTML / XHTML and higher-level UI constructs such as data grids and trees and has first-class integration with JavaServer Faces and Struts. Controls: A lightweight, metadata-driven component framework for building that reduces the complexity of being a client of enterprise resources. Controls provide a unified client abstraction that can be implemented to access a diverse set of enterprise resources using a single configuration model. In addition, Beehive includes a set of system controls that are abstractions for low-level J2EE resource APIs such as EJB, JMS, JDBC, and web services.

Beehive's goal is to make J2EE programming easier by building a simple object model on J2EE and Struts. Using the new JSR-175 annotations, Beehive reduces the coding necessary for J2EE. The initial Beehive project has three pieces. NetUI: An annotation-driven web application programming framework that is built atop Struts. NetUI centralizes navigation logic, state, metadata, and exception handling in a single encapsulated and reusable Page Flow Controller class. In addition, NetUI provides a set of JSP tags for rendering HTML / XHTML and higher-level UI constructs such as data grids and trees and has first-class integration with JavaServer Faces and Struts. Controls: A lightweight, metadata-driven component framework for building that reduces the complexity of being a client of enterprise resources. Controls provide a unified client abstraction that can be implemented to access a diverse set of enterprise resources using a single configuration model. In addition, Beehive includes a set of system controls that are abstractions for low-level J2EE resource APIs such as EJB, JMS, JDBC, and web services.

A macro library with built-in implicits set that implements the Transparent Monads syntax and Monadic Flow Control interpretation in Scala

A framework the allows for wizard flow control

A macro library with built-in implicits set that implements the Transparent Monads syntax and Monadic Flow Control interpretation in Scala

Continual's flow control system for event processing.

Composable data structures for logging, error handling and flow control

A macro library with built-in implicits set that implements the Transparent Monads syntax and Monadic Flow Control interpretation in Scala

A plugin for making control flow decision within a pipeline

A controller component for Spring MVC that allows complex control flows spanning several webpages in web applications to be expressed as a single structured algorithm in JavaScript, using Mozilla Rhino JavaScript runtime.

Composable data structures for logging, error handling and flow control

A macro library with built-in implicits set that implements the Transparent Monads syntax and Monadic Flow Control interpretation in Scala

Valve is a simple to integrate sampling and code flow control library, which can perform sampling on an unknown size of identifiers. It was developed to fullfill the need to perform percentage based roll out of a certain feature for users.

Workflow control and configuration java framework

A library that contains mule 3.x sub-flows to implement custom, but fully controllable watermarking.

The ultimate control flow solution for Akka.

Southbound interface (SBI) of the OpenFlow 1.0 network controller of Chameleon (ACM CoNEXT 2020) using the ECES framework. The module does topology discovery and creates the network using the ECES network library. The module also listens to events from the tenant manager ECES library and automatically configures rules in the data plane when flows are created.

The ultimate control flow solution for Akka.