LabVIEW proved that graphical dataflow could power serious engineering systems. Graiphic Studio builds on that legacy while rethinking the architecture for readable source, Git, artificial intelligence and modular execution. Here are 10 major differences between the two approaches.
AI can now generate software faster than engineering teams can reasonably inspect it. FROG is Graiphic’s open graphical dataflow language, designed to combine machine-generatable structured source with visual inspection, explicit validation and modular industrial execution.
As AI governance becomes operational in 2026, organizations face a harder problem than generating more code: keeping software understandable, reviewable, and accountable. FROG, Graiphic’s Free Open Graphical Language, explores an open graphical dataflow foundation where source, semantics, FIR, execution handoff, and provenance can remain inspectable.
FROG is Graiphic’s new open graphical dataflow language initiative: a hardware-agnostic, source-transparent foundation for building serious software beyond the syntax-first bottleneck.
We open-sourced our full LabVIEW benchmark suite and results. See why graph-compiled execution (TensorRT/CUDA via ONNX Runtime) consistently outpaces DLL-style approaches—and how DirectML broadens GPU support to AMD/Intel on Windows.