LabVIEW
By National Instruments
LabVIEW is a graphical programming environment from National Instruments used to build test, measurement, and control system software by wiring together visual blocks that represent data flow rather than writing text-based code. Engineers…
Definition
LabVIEW is a graphical programming environment from National Instruments used to build test, measurement, and control system software by wiring together visual blocks that represent data flow rather than writing text-based code. Engineers and scientists use it to acquire data from instruments and sensors, control hardware, and automate laboratory and industrial test procedures across research labs and manufacturing test floors worldwide.
Overview
LabVIEW was created to let engineers, many of whom are not primarily software developers, build measurement and automation applications without writing extensive text-based code, by representing a program as a wiring diagram where data flows between function blocks rather than executing as a sequence of textual statements. This graphical language, called G, makes the flow of data through a program visually explicit, which fits naturally with how test and measurement engineers already think about signal chains moving from sensor to processing to display or control output. Mechanically, a LabVIEW program, called a virtual instrument or VI, consists of a front panel where the user places controls and indicators resembling physical instrument knobs and displays, and a block diagram behind it where the actual logic is wired together from function nodes. Execution follows a dataflow model: a node executes once all of its required inputs are available, which naturally supports parallel execution of independent operations without the programmer explicitly managing threads. LabVIEW integrates closely with National Instruments hardware, such as data acquisition (DAQ) devices and PXI test instrumentation, handling much of the low-level driver communication automatically. Within the test and measurement software landscape, LabVIEW is most often compared to MathWorks' Simulink for engineers who need dynamic system modeling, though the two target different primary use cases: LabVIEW focuses on real-world instrument interfacing and test automation, while Simulink emphasizes simulating and generating code for control algorithms. Python with libraries such as PyVISA and NI-DAQmx bindings has increasingly become a text-based alternative for instrument control tasks that engineers previously might have used LabVIEW for. In practice, LabVIEW is widely used to build automated test equipment (ATE) systems in manufacturing, data acquisition systems in research laboratories, and control software for physical experiments in fields ranging from physics research to industrial process monitoring. Its tight integration with National Instruments hardware makes it a common default choice when a lab or test floor is already standardized on NI instrumentation. The graphical dataflow paradigm that makes LabVIEW approachable for hardware-focused engineers can become unwieldy for large, complex software projects, since large block diagrams are harder to read, version-control, and collaboratively review than equivalent text-based code. LabVIEW also requires paid licensing and is most tightly coupled to National Instruments' own hardware ecosystem, which can be a limiting factor for teams using instrumentation from other vendors or preferring open, text-based tooling. Some organizations also weigh talent availability, since fewer new engineering graduates train specifically on LabVIEW's graphical paradigm compared to general-purpose text-based languages, which becomes a long-term maintenance staffing consideration.
Key Features
- Graphical dataflow programming using wired block diagrams
- Virtual instrument front panels resembling physical instrument controls
- Native dataflow-based parallel execution without explicit thread management
- Deep integration with National Instruments DAQ and PXI hardware
- Extensive libraries for instrument communication and control protocols
- Real-time and FPGA deployment targets for deterministic control applications
- Built-in signal processing, analysis, and visualization functions
- Modular VI architecture supporting reusable subroutines