1D, 2D, and ND Measurement Arrays

Yesterday, your test logs found a home. Today, measurements arrays get the same attention.

Tuesday: Multi-dimensional Measurements

Until now, measurements in TofuPilot were limited to single values. But real-world tests often produce more complex data: sampled over time, across multiple axes, or as full waveforms. TofuPilot now supports 1D, 2D, and ND measurement arrays.

You can explore multi-dimensional measurements directly in the run interface. TofuPilot enables:

• Full graph previews of time-series and array data
• Toggle visibility for individual measurements
• Export data series as CSV files for external analysis

Using OpenHTF? You don't need to change anything. OpenHTF native multi-dimensional measurements are now processed for all new runs.

Using the vanilla Python client? Just pass a list or array in your measurements. Our updated documentation includes a simple snippet to get you started.

Multi-dimensional measurements are automatically included in analytics for duration and yield, but Cpk isn't available yet as it requires custom validators - support for that is coming soon.

Inside TofuPilot: Backed by Switzerland's Startup Ecosystem

TofuPilot wouldn't exist without the support of Switzerland's top innovation programs. Venture Kick and La FIT provided our first funding to get started. EPFL, Innosuisse, and the Canton of Vaud connected us with expert coaching, financial support, and a strong network of tech founders.

Thanks to all these programs for their early support. See you tomorrow!