Embed in your application. Predict your business data. Add value to your users. Add time-series forecasting to any frontend app in minutes.
This isn't a screenshot. Switch the algorithm or change the horizon in the toolbar and the chart re-forecasts live using the WebAssembly engine.
Integrate into any framework
One package, four drop-in entry points. Install@datastripes/forecast once, import the entry point for your stack, and render a forecast with a single component.npm install @datastripes/forecast
import { DatastripesForecast } from '@datastripes/forecast/react';
export function App() {
return <DatastripesForecast data={myRows} horizon={30} />;
}One engine, real forecasting
The core engine does the actual work; the UI components are a thin layer on top.01
Auto column discovery
Hand it an array of records, a CSV string, or raw JSON and it infers the datetime column, the target metric, and candidate exogenous predictors by name and type, no manual schema required.02
Nine forecasting algorithms
OLS, polynomial, ridge, lasso, Holt-Winters, ARIMA, Prophet-lite, and ensemble mode, each with tunable hyperparameters and reported MAE, RMSE, MAPE, and R² metrics.03
Confidence bands & diagnostics
Every forecast ships 80% and 95% confidence intervals, changepoint markers, feature importance scores, and a multi-model comparison, all computed in WebAssembly in the browser.Fully customizable
Every surface is configurable through typedcustomOptions, chart colors, KPI cards, and diagnostics.04
Chart styling
ChartStyleOptions controls per-series colors, confidence band colors, grid, tooltips, the horizon boundary, and y-axis formatting.05
KPI cards & toolbar
KpiCardsOptions picks which metrics appear; HeaderToolbarOptions toggles the kernel selector, horizon input, and export buttons.06
Views, tabs & export
Switch between composite, chart, or table views. Configure leaderboard tabs and control which export formats (CSV, JSON, PDF) are offered.Built for developers
What users get
✓Interactive forecast exploration with pan and zoom
✓Confidence bands at 80% and 95% coverage
✓A KPI deck summarizing accuracy at a glance
✓Side-by-side model comparison across algorithms
✓A column mapping modal to review auto-discovered columns
What developers get
✓One npm package with subpath entry points
✓A framework-agnostic core entry with zero dependencies
✓Fully typed API: props and options are TypeScript interfaces
✓Safe-by-default licensing with a restricted trial tier
✓WASM-powered computation off the main thread
Start free, upgrade when you need unlimited rows, exports, and no watermark.
Dev
€0
always free
- ✓ Up to 1,000 historical rows
- ✓ All forecasting algorithms
- ✓ Watermark on chart output
- ✓ Exporting disabled
Most chosen
Commercial
€500/ year
Per licensed domain
- ✓ Unlimited historical rows
- ✓ No watermark
- ✓ CSV, JSON, and PDF export
- ✓ All framework entry points
VAT included for EU customers · No credit card for the free dashboard