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`ir` is a new command-line tool for running portable R scripts and rendering Quarto documents whose package requirements, and optional R selection, live inside the file itself.

querychat now supports ggsql-powered visualizations — users can ask "show me" questions and get charts rendered directly in the chat, alongside SQL queries and reactive filtering, all without arbitrar...

We’re introducing new packages like ggsql and raghila, alongside major updates to Quarto and many other open-source packages.

Quarto 1.9 adds publishing to Posit Connect Cloud, LLM-friendly website output, major Typst improvements, experimental PDF accessibility standards, and list tables for complex table content.

Stay up to date with the latest in this posit::glimpse() roundup, featuring posit::conf(2026) registration, the launch of Posit AI, and updates to Positron, Quarto, and mirai.

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Wes McKinney is shipping open source projects faster than ever, using AI coding agents to build across Python, Go, Swift, and Rust... and he's having more fun than he's had in years.

This edition covers major updates from Posit, including new versions of ggplot2, ellmer, and dplyr.

YouTube video by Posit PBC

The vitals package delivers a dedicated framework for measuring how well Large Language Models perform with code.

Data science agents need to accurately read plots even when the content contradicts their expectations. Our testing shows today's LLMs still struggle here.

Posit is hiring a Python open-source developer to create more data analysis tools.

Shiny is a package that makes it easy to create interactive web apps using R and Python.

Shiny is a package that makes it easy to create interactive web apps using R and Python.

Posit's latest glimpse newsletter highlights new product releases, including the Positron IDE and several new LLM-powered tools.

Shiny is a package that makes it easy to create interactive web apps using R and Python.

This blog post evaluates various large language models (LLMs) for their Python code generation capabilities, focusing on Pandas-related problems from the DS-1000 dataset.

Drew Coughlin demonstrates how the querychat package can create an LLM-powered dashboard that allows natural language queries of trail race data.

Posit's internal AI/LLM hackathons are providing valuable firsthand experience for employees exploring the technology. After several months, here are some key lessons learned.

Read about new LLM tools for R and Python, improved interoperability, community events, learning resources, and more.