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Early access

The analysis workbench for sensor time-series data

Drop in a logger CSV and analyse it where it sits. Resample to any interval with the minima and maxima kept, find the gaps, read the trend, and export a figure you can put in a report. Every calculation runs in this browser tab — nothing is uploaded, and you can check that with the network panel open.

9 tools work today. The rest are listed below and are honestly marked as not built yet. Nothing here is a mock-up: a page that says a tool works means the arithmetic runs.

Nothing is uploaded

The site is static files and the analysis is JavaScript in your tab. Load the page, disconnect from the network, and keep working — how to verify it.

It reads logger files as they come

Onset HOBOware and Postlad exports are recognised automatically, including the awkward variants — no plot title, no row numbers, tab-separated, a split Date and Time column.

It says what it hid

Every aggregation reports the largest reading it averaged away, and every gap is drawn as a gap rather than a line straight across it.

The tools

Trend tests

  • Run the Mann-Kendall trend test with tie handling and Sen’s slope with confidence limits on a monitoring series, including non-detects, without installing anything.

Correlation

  • Compute the cross-correlation of two time series across a range of lags and read off the lag at which they line up best.

  • A Pearson or Spearman correlation matrix across every channel in a logger file, with the coefficient and the number of readings behind it printed in every cell.

Agri-met

  • Compute daily reference evapotranspiration by the FAO-56 Penman-Monteith method from a weather-station export, not from one set of typed-in numbers.

  • Accumulate winter chill from an hourly temperature series by the 32–45 °F, Utah and Dynamic models, and compare what the three of them say.

  • Compute vapour pressure deficit across a whole temperature and humidity record, air and leaf, with the saturation vapour pressure equation stated and cited.

  • Turn a temperature and humidity record into a dew-point series, with the dew-point depression and the spells where the air reaches saturation.

  • Accumulate growing degree days from your own temperature record by the simple-average or single-sine method, with a base temperature and an optional upper cutoff.

Time-series workbench

  • Turn a logger CSV at any sampling interval into hourly, daily or monthly values — mean, minimum, maximum, sum or median — with the within-bucket range preserved.

  • Gap & QC report

    Not built yet

    Find the holes, the flatlines, the spikes and the drift in a logging record, and get a completeness figure you can put in a report.

Where the data comes from

Plotlad analyses files. If you are still collecting readings by pulling a logger out of the field and plugging it into a laptop, its companion — Postlad, at postlad.com — takes an HTTP request from an Arduino or an ESP32 and gives you a live chart and a share link with no account. The two are separate products with separate prices; the link between them is a URL, not a subscription.

Pricing here will be a one-time $49 for twelve months or $119 for a founding licence. Neither is on sale yet.