When should I use MapLibre instead of Leaflet?

Use MapLibre when you need vector tiles, GPU rendering, client-side data-driven styling, smooth rotation/pitch, or 3D terrain. Use Leaflet when your data is raster tiles plus a modest number of markers and you want the smallest, simplest, best-documented library.

What is the difference between MapLibre and Leaflet?

Leaflet is a lightweight DOM/Canvas raster-tile library with a huge plugin ecosystem. MapLibre GL JS is a WebGL renderer for vector tiles driven by a JSON style spec, with native zoom-dependent styling, rotation, pitch, and terrain. They overlap for basic maps but diverge sharply at scale and for 3D.

Can Leaflet display vector tiles like MapLibre?

Leaflet can show vector tiles via plugins, but rendering is Canvas/SVG based rather than GPU, so styling is less flexible and performance drops with large or dense layers. Native, performant vector-tile rendering with data-driven styling is MapLibre's core design.

Where does deck.gl fit alongside MapLibre or Leaflet?

deck.gl is a WebGL/WebGPU layer engine for very large or animated datasets (millions of points, arcs, trips, 3D). It interleaves with MapLibre so the basemap and vector layers stay in MapLibre while deck.gl handles the heavy custom layers.

MapLibre vs Leaflet: When to Use Which

Short answer

Choose Leaflet when your map is raster tiles plus a manageable number of markers, polygons, or popups and you want the smallest, simplest, most plugin-rich library. Choose MapLibre GL JS when you need vector tiles, GPU (WebGL) rendering, data-driven styling from a JSON style spec, smooth rotation and pitch, or 3D terrain. The deciding factors are your tile strategy (raster vs vector), data volume, and whether styling needs to change dynamically in the browser — not brand preference. For datasets beyond what vector tiles handle comfortably (millions of features, animated layers), add deck.gl on top of MapLibre.

What each library actually is

Leaflet is a ~40 KB-gzipped library that places raster tiles (256×256 PNG/JPEG, or sometimes raster vector renders) into a slippy map using DOM and Canvas. Markers, vectors, and popups are DOM/SVG/Canvas elements. Its strengths are a tiny footprint, a famously stable API, and an enormous plugin ecosystem (clustering, heatmaps, draw tools, WMS, geocoding). Its model assumes the server has already decided how the map looks (the tiles are pre-rendered images).

MapLibre GL JS (the open-source fork of Mapbox GL JS v1, BSD-licensed) is a WebGL renderer that consumes vector tiles (Mapbox Vector Tiles, .pbf) and a style document — a JSON spec describing sources, layers, and paint/layout properties. The client decides how the map looks, at draw time, on the GPU. That single architectural difference drives everything below.

Where MapLibre clearly wins

Vector tiles and client-side styling. With MVT you ship geometry once and restyle it in the browser. Change a fill colour, filter by attribute, or interpolate symbol size by zoom without re-rendering tiles. Data-driven expressions are first-class:
```
map.setPaintProperty('faults', 'line-color', [
  'match', ['get', 'type'],
  'normal', '#e66', 'thrust', '#39c', /* default */ '#999'
]);
```
Performance with dense vector data. WebGL draws thousands of polygons/lines per frame far more smoothly than Canvas/SVG. Crisp labels and symbols stay sharp at any zoom because they are rendered, not pre-baked into pixels.
Rotation, pitch, and 3D terrain. MapLibre natively supports bearing, pitch, a sky layer, terrain exaggeration from a DEM raster source, and hillshade layers — useful for geological and terrain work. Leaflet is fundamentally a flat, north-up 2D map.
Zoom-dependent everything. Symbol size, line width, label density, and colour can all interpolate across zoom levels through expressions, giving true multi-scale cartography from one style file.
Globe and high-zoom smoothness. Continuous zoom (not just integer levels) and smooth transitions are built in.

Where Leaflet clearly wins

Raster-only data. If you are overlaying WMS layers, scanned maps, or pre-rendered raster tiles, Leaflet does it with minimal code and no GPU dependency.
Smallest footprint and simplest mental model. For a map with a basemap and a few hundred markers, Leaflet is less code and less to learn.
Plugin ecosystem. Two decades of plugins cover niche needs (specialized projections via Proj4Leaflet, drawing tools, side-by-side comparison, advanced clustering) that you might otherwise build by hand.
Non-WebGL environments. Older devices, restrictive embeds, or contexts where WebGL is unavailable still render Leaflet fine.
Custom CRS / non-Web-Mercator. Leaflet supports arbitrary CRSes (including polar and local grids) more readily; MapLibre is built around Web Mercator (EPSG:3857) tiles.

Worked decision: a geological web map

Suppose you must publish bedrock geology (large polygon dataset), mapped faults, and a hillshade for a region, with interactive filtering by rock type.

Tile strategy first. The polygon layer is large and you want users to toggle/filter rock types and restyle in the browser — that argues for vector tiles, hence MapLibre. Generate MVT with tippecanoe from GeoJSON, or serve dynamically from PostGIS via ST_AsMVT.
Hillshade. Serve the DEM-derived hillshade as raster tiles (a raster source) and, if you want 3D, add the DEM as a raster-dem source with setTerrain.
Styling. Encode rock-type colours and fault symbology as data-driven expressions in the style JSON, so a legend toggle is just a setFilter call — no server round-trip.
If it were simpler — say a single static geology raster plus a dozen sample-site markers — Leaflet would be the lighter, faster-to-ship choice.

The branch point is step 1: the moment you need browser-side styling/filtering of dense vector data or 3D terrain, MapLibre is the correct tool; below that, Leaflet's simplicity pays off.

Where deck.gl fits

Neither library is built for millions of features, animated flows, or large 3D point clouds. deck.gl is a WebGL/WebGPU layer engine for exactly that — ScatterplotLayer, ArcLayer, TripsLayer, PointCloudLayer, big GeoJSON. It interleaves with MapLibre: MapLibre owns the basemap and ordinary vector layers; deck.gl owns the heavy custom layer, sharing the same camera so they stay registered. You can also use deck.gl with Leaflet via a wrapper, but the MapLibre pairing is the mature path because both share the Mapbox GL camera model.

Common pitfalls and why they happen

Picking the library before the tile strategy. Whether your data is raster or vector tiles decides almost everything. Teams that choose a library first often end up fighting it (e.g. bolting vector tiles onto Leaflet via plugins and getting poor performance).
Forcing custom projections into MapLibre. Because MapLibre assumes Web Mercator tiles, a polar or national-grid project may be far easier in Leaflet with a custom CRS.
Using MapLibre for a trivial map. WebGL setup, the style spec, and tile pipeline are overhead you do not need for a few markers on a raster basemap.
Throwing huge GeoJSON at either library. Both choke on multi-megabyte GeoJSON loaded client-side. Tile it (vector tiles) or move it to deck.gl; do not parse it all in the main thread.

QA and validation

Load-test with realistic data volume and on a mid-range device, not just your workstation and a small sample.
Verify the basemap CRS (Web Mercator for MapLibre) matches your overlay tiles, and that coordinates are lon/lat (EPSG:4326) before tiling.
Confirm vector-tile attributes survive tiling (tippecanoe can drop attributes/features at low zoom unless configured).
Check label legibility, hover/click hit-testing, and legend/filter behaviour at the zoom range users will actually use.

Bathyl perspective

We pick the rendering library from the data model outward: vector tiles plus browser-side styling and any 3D terrain point to MapLibre, while raster overlays and a light marker set are a clean fit for Leaflet, and very large or animated layers move to deck.gl over MapLibre. The library is the last decision, not the first — tile strategy and data volume decide it.

When to Use MapLibre Instead of Leaflet