Feature parity with the R package

While both Python and R packages are first-class implementations of commons, the R implementation was developed first, and the Python package does not yet implement everything the R package does. This page lists the gaps that remain as of the current version and what a Python agent does instead.

R-only feature	What a Python agent does instead
Snowflake semantic views and Databricks metric views as trusted calculations, answered Verified answer	Imports the catalog of a Snowflake or Databricks engine, but answers these questions with custom SQL, so Cited or Untrusted
Custom R code from the agent, run in a sandboxed worker process	Writes custom SQL only, with Python execution coming soon
gt tables and ggplot figures returned by measures, rendered in the chat	Renders data-frame results as tables, with no current plot support
trajectory_read() and trajectory_review(), for reading and annotating logged conversations	No equivalent yet
The commons agent skill for coding agents	Ships with the R package only

This page will shrink (and eventually disappear) as the Python package matures.