Abstract: Provided are systems and methods that leverage a machine-learned language model to perform automated generation and/or modification of a data schema for a software application based on natural language inputs. For example, the techniques can be implemented as part of or by an application development platform that enables users to develop software applications using low-code or no-code tools.

Abstract: A method includes receiving a trigger interaction indication indicating a first graphical user interaction by a user within a no-code environment. In response to receiving the trigger interaction indication, the method also includes establishing a trigger condition for an application generated by the no-code environment. The method also includes receiving an action interaction indication indicating a second graphical user interaction by the user within the no-code environment. The method also includes, in response to receiving the action interaction indication, defining an action response for the application when the trigger condition is satisfied. The action response includes a function call calling a function of a script. The script is generated within a low-code environment. The method also includes executing the application.

Abstract: Systems and methods are discussed for providing a continuous monitoring system for high-speed links. Data packets are passively read in a high-speed environment. Concurrent streams are created to handle the high-speed data packets and to manipulate subsets of data packets in modules for output to various applications or destinations. The modules can include algorithms or filters created for various tasks.