GitHub.com supports rendering geoJSON and topoJSON map files within GitHub repositories. Simply commit the file as you would normally using a
.json extension. Then, navigate to the path of the geoJSON file on GitHub.com.
Maps on GitHub.com use Leaflet.js and support all the geometry types outlined in the geoJSON spec (Point, LineString, Polygon, MultiPoint, MultiLineString, MultiPolygon, and GeometryCollection). TopoJSON files should be type "Topology" and adhere to the topoJSON spec.
You can customize the way features are displayed, such as specifying a particular color or adding a descriptive icon, by passing additional metadata within the geoJSON object's properties. The options are:
marker-color- valid RGB hex color
marker-symbol- an icon ID from the Maki project or a single alphanumeric character (a-z or 0-9).
stroke- color of a polygon edge or line (RGB)
stroke-opacity- opacity of a polygon edge or line (0.0 - 1.0)
stroke-width- width of a polygon edge or line
fill- the color of the interior of a polygon (GRB)
fill-opacity- the opacity of the interior of a polygon (0.0-1.0)
See version 1.1.0 of the open simplestyle spec for more information.
For example, if your map's URL is github.com/benbalter/dc-wifi-social/blob/master/bars.geojson, your embed code would be:
By default, the embedded map 420px x 620px, but you can customize the output by passing height and width variables as parameters at the end, such as
ref can be a branch (like
master), or the hash to an individual commit (like
If your map contains a large number of markers (roughly over 750), GitHub will automatically cluster nearby markers at higher zoom levels. Simply click the cluster or zoom in to see individual markers.
The underlying map data (street names, roads, etc.) are driven by OpenStreetMap, a collaborative project to create a free editable map of the world. If you notice something's not quite right, since it's open source, simply sign up and submit a fix.
If you're having trouble rendering geoJSON files, ensure you have a valid geoJSON file by running it through a geoJSON linter. If your points aren't appearing where you'd expect (e.g., in the middle of the ocean), it's likely that the data is in a projection which is currently unsupported. Currently, GitHub only supports the
Additionally, if your
.geojson file is especially large (over 10 MB), it is not possible to render within the browser. If that's the case, you'll generally see a message that looks something like this:
It may still be possible to render the data by converting the
.geojson file to TopoJSON, a compression format that, in some cases, can reduce filesize by up to 80%. Of course, you can always break the file into smaller chunks (such as by state or by year), and store the data as multiple files within the repository.