Kriging quarterly heads from 14 monitoring bores and coupling a NetCDF recharge grid gives you a living model of pit-lake rebound. The whole pipeline — clean, krige, difference, report — re-runs itself whenever a new water-level CSV lands.
Read tutorialDrop a million-row Parquet batch on the canvas, reuse the exact normalize step the model trained with, and stream it through an ONNX inference node. LSD writes scored Parquet plus a metrics dashboard, and every intermediate stays cached for inspection.
Read tutorialDrop a folder of LAS/LAZ sweeps on the canvas, chain registration, voxel downsampling, and ground removal, then bake a 10 cm occupancy grid. You get a scrubbable 3D map and a nav-ready GeoTIFF from one live pipeline. When the robot rescans the floor, drop the new files and every export rebuilds itself.
Read tutorialModel post-closure pit-lake rebound in LSD — krige borehole heads against a NetCDF recharge grid and deliver a live 3D drawdown model plus report.
Validate 63 LAS drillhole logs against collar surveys, krige a lithology block model, and export one glTF the whole team can open.
Build churn features from Postgres events and Parquet snapshots, catch a leaky window visually, and score the holdout with ONNX — on one canvas.
Score a million-row Parquet batch with an ONNX model — training-identical normalization, live previews, scored Parquet and metrics out.
Turn raw LAS/LAZ sweeps from a mobile robot into a nav-ready occupancy grid and 3D map — registration to export with zero scripts.
Sync CSV sensor logs with live REST telemetry, flag outliers and dropouts, and score every robot pass/fail before the field trial.
Turn folders of line-scan images and a label CSV into an ONNX defect-segmentation pipeline with overlay QA and a per-coil defect report.
Turn GeoTIFF orthomosaics into a stitched land-cover raster with per-class area stats, using tiled ONNX segmentation you can preview at every step.
Align CMM measurement points to a nominal CAD mesh, compute point-to-surface deviation, and export a color-mapped glTF model with a pass/fail report.
Resample a week of machine sensor logs, baseline each tag, and flag drift and step changes on a live dashboard with a ranked maintenance shortlist.
Join a live meter feed to 85 campus building meshes, aggregate it hourly, and paint a 3D heat-map that repaints as energy use shifts, plus a weekly report.
Calibrate live strain telemetry, place gauges on the bridge mesh from a CSV, and color the structure by stress live — plus an alert log on every exceedance.
Turn a CT DICOM series into an ONNX organ segmentation you QA in 3D, then export an annotated volume and a per-organ volumetrics report.
Screen 400 MRI studies before analysis: harmonize metadata, check orientation and spacing, flag motion, and export a pass/fail QA table and exclusion list.
Turn LiDAR terrain, rainfall GeoTIFFs, and a drainage Shapefile into a flood-risk raster, a 3D flyover, and a district report — live sliders, no scripts.
Spatially join 80,000 parcels to zoning polygons from PostGIS, flag conflicts, and export styled map layers plus a clean planning file — no scripts.
Slice 200 GB of NetCDF CFD output into live wake planes and iso-surfaces, then export an animated wake visualization and a downstream-loss table.
Crop 40 NetCDF ensemble members to a region, aggregate by season, and difference against a baseline — small-multiple maps and a per-region CSV.
Reduce 900 spectrometer CSVs against a calibration NetCDF into publication-ready spectra and a reproducible dataset export — no scripts.
Turn long-run logs from a 200-sensor array into windowed stats with uncertainty — cleaned, aligned, and delivered as a per-sensor summary anyone can re-run.
Pick a tutorial — or start with your own dataset. See it. Collaborate on it. Extend it.