In the GIS space, open source is leagues ahead of the alternatives in terms of extensibility, usability, and stability.
ESRI still maintains a pretty large stranglehold on the industry and their software is still the easiest to use in terms of UI and such, but they’ve totally dropped the ball in terms of scripting and maintaining easy to use developer tools. Opting to keep as much of that internal as possible and make government and companies reliant on their incredibly expensive (and buggy) solutions.
Meanwhile, Geopandas, QGIS, and postgis, even DuckDB spatial are running circles around their development tools. 10x faster, 100x easier to write, and built in a way where the whole tool chain is open and never ducks into a compiled and encrypted binary for licensing checks and black box calculations.
In the GIS space, open source is leagues ahead of the alternatives in terms of extensibility, usability, and stability.
ESRI still maintains a pretty large stranglehold on the industry and their software is still the easiest to use in terms of UI and such, but they’ve totally dropped the ball in terms of scripting and maintaining easy to use developer tools. Opting to keep as much of that internal as possible and make government and companies reliant on their incredibly expensive (and buggy) solutions.
Meanwhile, Geopandas, QGIS, and postgis, even DuckDB spatial are running circles around their development tools. 10x faster, 100x easier to write, and built in a way where the whole tool chain is open and never ducks into a compiled and encrypted binary for licensing checks and black box calculations.