Three practical Posit platform features are highlighted for R and data science teams. First, using Posit Package Manager with binary packages instead of source compilation can reduce a Tidyverse install from 26 minutes to under 2 minutes, and with R 4.5 parallel downloads and Ncpus, down to ~15 seconds. Second, Connect Gallery replaces the old quick-start popup with a persistent, one-click app deployment experience, including useful examples like Usage Metrics and a Python-based Command Center for Publishers. Third, Workbench Jobs run independently of user sessions, allowing long-running tasks like model training or data pipelines to continue after closing RStudio or VS Code, with optional cryptographic output auditing. The post also clarifies when to use Workbench Jobs versus scheduled content on Connect.
Table of contents
R package installs don’t have to take 26 minutesConnect Gallery: example apps without the setup frictionWorkbench Jobs: run something long and close your sessionWorkbench Jobs vs scheduled content on ConnectSort: