Spreadsheet software differs most in file compatibility, whether several people can edit at once, and whether the desktop app costs money. This ranking weighs analysis depth and file compatibility first, then sharing, offline use and price.
Template libraries differ in whether the files work out of the box, which formats they ship in and how much of the catalogue costs money. This ranking favors working formulas, free access and a clear file format.
Dashboard tools differ in who builds them, where the data comes from and whether the work stays on your own machine. This ranking weighs chart and dashboard building first, then data connections, sharing and cost.
Business intelligence tools connect to company data and turn it into reports that people can share. They differ most in how deep the modelling goes, whether they can be self-hosted and what they cost for a team. This ranking weighs those first.
Low-code database tools combine a table editor with forms, views and simple apps. They differ most in whether they can be self-hosted, how far the app builder goes and how the plans are priced. This ranking weighs those first.
Data science notebooks mix code, text and output in one document. They differ most in where the code runs, whether free GPUs are available and how well teams can share work. This ranking weighs notebook quality and reproducibility first, then compute, sharing and cost.
Open data portals differ in who publishes the data, which license applies and how easy the data is to use. This ranking favors official statistics with clear licenses, then curated and community collections.
* Made by, or connected to, the publisher of this site or people the publisher works with. Listed on the same criteria as everything else, with the lift described in How we rank and Disclosure.