earthpy vs Felt

earthpy has no write-up on Specifiction yet; its figures are above.

Felt is a cloud-based GIS platform for building maps, dashboards, and apps from spatial data. It combines spatial SQL and cross-table analysis with plain-language analysis through Felt AI. Connections include Amazon S3, BigQuery, Databricks, Esri, Google Cloud, Microsoft Azure, MS SQL, Postgres, Snowflake, STAC, WFS, WMTS, Wherobots, and Amazon Redshift. A QGIS plugin carries styling, symbology, and layer structure into Felt when publishing. Its iOS and Android Field App supports surveys, GPS capture, geotagged photos, offline work, and later syncing. Teams can collaborate on maps in real time, share them, use threaded comments, and manage permissions. The Personal plan is free forever and allows unlimited maps and sharing, but it is for personal use and excludes uploads of your own data files. Professional and Enterprise are annual contracts with prices not published; Professional lists 25 GB monthly data processing and 100K monthly map views. A seven-day trial is listed. Felt supports web, desktop, mobile, API, and self-hosted platforms.