Workspaces

Applies or discards edits on editable layers through save and cancel actions.

Computes field values from expressions with type selection, function reference, preview and geometry measures before applying.

Generates charts, column exploration, dashboards and selection-as-layer exports when the data supports them.

Recomputes raster classes after editing labels or colors and applies the updated symbology to the map.

Builds a color palette for a layer with a legend view and CSV export of its entries.

Import and export style libraries in Mapbox GL JSON, QGIS QML and OGC SLD; save, search and apply styles, symbols and ramps.

Edit the legend: rename, reorder and hide entries, add custom sections, import color dictionaries and export as JSON.

Animate a marker along a line with progress, speed, loop and follow-camera controls, and record it as MP4/WebM video.

Simulates sun position by date and time with shadows, playback controls, stepping, loop and speed adjustment.

Flies the camera over terrain to inspect corridors and 3D objects, with AGL readout and terrain warning.

Queries layers with SQL, with autocomplete, history, and export of results to CSV or GeoParquet.

Runs notebooks against a configured server or the browser-available environment.

Executes Python code with autocomplete in a resizable console. Requires a configured interpreter or service.

Runs an AI assistant that executes code after you approve, reject, or set always-approve.

Sync collection layers with a GeoServer WFS: load teammates' records and publish local captures through WFS-T.

Customize the automatic legend by renaming, reordering, hiding, or adding sections, then export it as JSON.

Lay out histogram, scatter, bar, line, box plot, pie, selector, and KPI widgets over your layers.

Run spatial SQL over layers and remote Parquet, CSV, GeoJSON, or cloud URLs with DuckDB in the browser.

Query loaded layers with full PostGIS ST_* functions on an embedded PostgreSQL loaded on first use.

Run Apache Sedona spatial SQL in-browser via CereusDB; the desktop sidecar removes the feature-count cap.

Save any result as a live layer that re-runs its SQL whenever you refresh it.

Download any SQL result as CSV or GeoParquet, or add it straight to the map.

Drive the map from Python through the meratyn API on an embedded runtime with on-demand packages.

Write multi-line scripts with autocompletion, run just a selection, and reopen saved .py files.

Use the separate meratyn-dash package to embed DashMap in Plotly Dash. The adapter supports meratyn>=2.8.0,<3.0 and keeps the core meratyn package Dash-free.

Ask in chat to add, remove, restyle, or hide layers and move the map; authored project changes recorded by Travels are undoable.

Review assistant-generated SQL, Python, or MapLibre JS before it runs, or allow it for the session.

Have the assistant search STAC catalogs and the web, then add the imagery or layers it finds.

Let the assistant pick and run the right geoprocessing algorithm on your layers from a chat request.