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Process data from NI LabView with Quix

Quix enables test engineers to stream measurement data from LabVIEW applications directly to Quix Cloud, automatically enriching it with test metadata for centralized analysis and comparison.

Stream test data from LabVIEW to the cloud

Send measurement data from your LabVIEW applications directly to Quix Cloud for centralized storage and analysis across all test campaigns.

Automatically enrich data with test configurations

Join sensor measurements with test metadata in real-time, so every data point has full context about which setup, asset, or parameters were used.

Process with Python, not proprietary tools

Use familiar Python-based transformations and analytics instead of vendor-specific software, enabling custom workflows and ML integration.

How to consume National Instruments data with Quix

abVIEW is widely used across automotive, aerospace, and industrial R&D for real-time test automation, data acquisition, and control. From simple measurement applications to complex multi-instrument test campaigns, LabVIEW provides a graphical programming environment trusted by engineers worldwide for high-frequency data collection and signal processing.

Quix is a Python-first platform for industrial data management that enables test engineers to:

  • Ingest measurement and control data from LabVIEW applications
  • Normalize and enrich sensor data with test configuration metadata
  • Process time-series data in real-time with custom Python transformations
  • Store test data centrally in a queryable data lakehouse
  • Compare experiments and validate models faster

Quix integrates with LabVIEW through a Python bridge architecture. LabVIEW's native Python Node support (LabVIEW 2018+) executes a local Python script that handles HTTP communication to Quix's HTTP API Source. Measurements are automatically associated with test configurations and stored centrally—eliminating the manual data export workflows that typically delay R&D cycles.