DAGresponsive
DAGresponsive is a design approach and accompanying tooling for building systems whose computations are organized as directed acyclic graphs (DAGs) and that prioritize prompt responsiveness to data changes. In a DAGresponsive framework, computation nodes declare dependencies on input data, and the system incrementally propagates updates through the graph, re-evaluating only the affected portions when inputs change. This enables low-latency recomputation in pipelines that would otherwise reprocess large portions of data.
Core concepts include directed acyclic graphs representing computation, incremental computation that caches and reuses previous results,
Architecture and components commonly associated with DAGresponsive systems include a graph builder or domain-specific language for
Applications span data processing pipelines, real-time analytics, build systems, scientific workflows, and automation tasks where updates
Benefits include reduced latency for updates, improved scalability through localized recomputation, and better traceability of data