Node-RED × formulize — sensor streams to equations, in the flow editor.
A three-node palette that drops onto any Node-RED flow. Feed formulize-fit a CSV from a temperature sensor, a solar inverter, or a vibration monitor — it returns a dimensioned equation with an R², a confidence interval, and a live prediction endpoint. No training run, no MLOps.
From sensor to equation, live.
Palette install → sample CSV → equation in the debug panel. One take, no cuts.
From temperature sensor to physics equation.
Four steps. No account required for the first fit — the free tier is IP-throttled.
Install the palette
From Node-RED, open Menu → Manage palette → Install and search node-red-contrib-formulize. Or from a terminal in your ~/.node-red directory:
# installs formulize-fit, formulize-predict, formulize-drift
npm i node-red-contrib-formulize
Drop formulize-fit after any sensor node
The formulize-fit node accepts a CSV string or an array of objects on msg.payload. Wire it downstream of your MQTT-in, Modbus, HTTP, or file-in node. Configure the target column (what to predict) and the domain (physics / chemistry / biology / generic).
Inject the sample CSV
Drop an inject node with the sample payload below. Deploy the flow. Fire the inject once — the debug panel prints the equation, R², and a share URL within 4–8 seconds.
# sample payload — HVAC coil, 200 rows msg.payload = `t_supply,t_return,flow_gpm,kwh 44.2,55.1,12.3,3.4 44.5,55.4,12.6,3.5 ...`;
See the equation in the debug panel
Output on msg.payload:
{
"equation": "kwh = 0.083 * flow_gpm * (t_return - t_supply)",
"latex": "\\dot Q = c_p\\,\\dot m\\,\\Delta T",
"r2": 0.996,
"endpoint_url": "https://formulize.dev/f/hvac-9f3a",
"dim_check": "passed"
}
That endpoint is live. POST new sensor rows to it, get back predictions. Or wire formulize-predict downstream to stay inside Node-RED.
Air-gapped plant floor? Run the engine on-prem — Docker one-liner, no calls to the hosted API. See the self-hosted guide →
Copy the flow, swap in your data.
Each JSON is a complete Node-RED flow. Import via Menu → Import → Clipboard. Sample data is embedded.
HVAC coil efficiency
Chilled-water AHU. 200 rows of supply/return temp + flow. Recover the sensible-heat equation.
Solar panel degradation
5-year daily output vs. irradiance + panel age. Extract the annual degradation coefficient.
Predictive maintenance
Bearing vibration RMS + temperature vs. hours-to-failure. Fits a Weibull-style hazard curve.
Ask questions, share flows.
Design questions and use-case discussion on the Node-RED Discourse. Bug reports and feature requests on GitHub.
Ship an equation before you finish your coffee.
50 fits a month, free forever. No credit card. Upgrade only when your sensor fleet grows.