# 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.