Felt
Collaborative cloud GIS for maps, spatial apps, and dashboards.
Felt is a browser-based GIS platform for creating maps, geospatial dashboards, and lightweight spatial applications. It supports file uploads, cloud database connections, geocoding, styling, sharing controls, comments, embeds, exports, and developer workflows through a Python SDK and QGIS plug-in.
Why it stands out
- Combines web mapping, dashboarding, app-style sharing, and GIS data handling in one cloud workspace.
- Connects directly to modern data warehouses and cloud storage rather than requiring manual export/import cycles.
- Automatically handles common prep steps such as address geocoding, boundary matching, and geometry-column detection.
- Collaboration features are built around live shared maps, including permissions, comments, embeds, and public feedback.
- Keeps links to professional GIS workflows through data exports, a Python SDK, and a QGIS plug-in.
Good to know
- As a cloud-hosted platform, it may not suit teams that require fully offline GIS workflows.
- The page states data is stored in the U.S., which may matter for organizations with non-U.S. residency requirements.
- Enterprise controls such as SSO appear to be tied to higher-level organizational access rather than the basic free start.
Photos

GIS analysts and operations teams can turn live spatial data into shared maps and dashboards without a traditional desktop-only workflow. Map infrastructure risk, mobility patterns, site suitability, or environmental change for internal planning. Share interactive project maps with clients, public reviewers, or partner organizations. Connect warehouse or cloud storage data so maps stay current as source datasets change. Export mapped data or images for reports, presentations, and downstream GIS work.
Drag-and-drop spatial and tabular file uploads; automatic geocoding and geometry parsing; connectors for sources such as Postgres, Snowflake, BigQuery, S3, Databricks, Esri, WFS, and WMTS; dashboard charts and filters; raster support; permission controls, public/guest comments, embeds, image exports, and data exports in GeoJSON, GeoPackage, or GeoTIFF; Python SDK and QGIS plug-in support for extended workflows.
Technical Notes
- Data can be exported as GeoJSON, GeoPackage, or GeoTIFF for use in other GIS workflows.
- A Python SDK is advertised for building geospatial apps, though auth and rate-limit details are not shown in the extracted page.
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