Posit Open Source

Writing text and code together honestly feels like a superpower. That's what literate programming allows you to do: write your narrative, write your code, and then weave them together into something that you can share with others. We're biased, but we think Quarto is great for this 💙 This short video breaks it down! (and I promise that's my real voice... I just have clearly been watching too many shorts).

I’ve automated a large part of my Quarto reporting workflow using Claude Code in Positron. What has worked for me: - Providing clear data structure context: column names, unique column values, min/max values, and number of unique values per column - Giving business context behind the data - Using past Quarto reports as reference I also built reusable skills for my Claude agents around interactive Quarto reporting, especially with R highcharter visuals and reactable tables. One useful nudge in improving this workflow came from the Claude Code insights report generated from the /insights slash command, which analyses sessions, highlights what’s working across them, and notes areas for improvement. I mostly use Claude sonnet 4.6 for this. It creates good reports with good context #rstats #r #quarto #positron

📣 𝘾𝙖𝙨𝙘𝙖𝙙𝙞𝙖 𝙍 𝘾𝙤𝙣𝙛𝙚𝙧𝙚𝙣𝙘𝙚 𝙒𝙤𝙧𝙠𝙨𝙝𝙤𝙥 𝙎𝙥𝙤𝙩𝙡𝙞𝙜𝙝𝙩𝙨 📣 𝗭𝗲𝗿𝗼 𝘁𝗼 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 𝘄𝗶𝘁𝗵 𝗤𝘂𝗮𝗿𝘁𝗼 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 As a data professional, you'll eventually want a website—whether for yourself, a project, or a research group. Quarto is an excellent way to build one! In Charlotte Wickham's workshop, you'll walk through the process from scratch. You'll see how to get started with a basic Quarto template and then customize it to your needs, including adding pages, customizing navigation, adding a blog or other listing, personalizing the appearance, and getting it online. Find out more: https://lnkd.in/gWYYdW5W Register: https://lnkd.in/gjg7AaaK #CascadiaR #DataScience #rstats #Quarto

🎤 Speaker Spotlight: Kristin Bott We're excited to welcome Kristin Bott to Cascadia R Conf 2026! ellmer for all? Building context around LLMs AI is changing how we work—but how do we help everyone use it confidently? Kristin will share lessons from Posit on building understanding, confidence, and practical knowledge around LLMs for both experienced users and complete newcomers. Join us in Portland for two days of talks, workshops, and community with R users, data scientists, researchers, and developers from across the Pacific Northwest and beyond. 🎟️ Tickets are on sale now at CascadiaRConf.com 📅 June 26–27, 2026 📍 Portland, OR #CascadiaRConf #rstats #DataScience #RProgramming #LLM #AI

Announcing OpenTelemetry Support for R: Production-Grade Observability We’re bringing OpenTelemetry to R 🔭 As a Posit-wide initiative across our open source packages, we’ve instrumented some of the most widely-used R packages for production workloads: Shiny , plumber2 , mirai , httr2 , ellmer , knitr , testthat and DBI. You can add observability to your R applications with no code changes: set a few environment variables and you get traces, logs, and metrics flowing to the backend of your choice. This is part of our commitment to R in production. As R applications scale – more users, more processes, more machines – you need tools to understand what’s happening across your entire system. That’s what OpenTelemetry is built for, and it’s now available for R. Learn more about the OpenTelemetry integration for #RStats: https://lnkd.in/eFwADQN3

We're usually fully remote, but last week, the Posit Open Source team got together for a work week in beautiful Boston, MA. We started off with an "unconference" where we had free-flowing conversations about notebook exploration, automating maintenance with LLMs, the future of Shiny, Quarto 2 architecture, how Posit Assistant actually works, and even a session on creating video shorts for YouTube. The rest of the time was a "hackathon" where we all picked an ambitious project that wouldn’t rise to the top of our daily priority lists and teamed up with folks we don't normally get to ship with (though, there were moments where we channeled our virtual routine with everyone heads down and completely silent). And, after two days, the projects shared in our (slightly cramped!) demo room were incredible. You'll have to stay tuned to see what we built. 😉 Of course, there were many delicious meals and walks along the Seaport harbor in absolutely perfect weather. Hope you enjoy this quick behind-the-scenes look at the team building your favorite open-source tools!

Episode 229 of the R Weekly Highlights Podcast is out! https://lnkd.in/en88k5xt 💻 Building a computer in R Gus Lipkin Lander Analytics 🪧 Toolbars in #shiny cards Liz Nelson Posit PBC 🧠 Async with memory Charlie Gao h/t Michael Thomas & Jonathan Kitt 🙏 #RStats #datascience #podcast

Kickstarting June the only way we know how: with some incredible open-source updates. We're excited to announce a handful of recent package updates from Posit developers that will hopefully make your life easier. • Eight widely-used R packages (Shiny, plumber2, mirai, httr2, ellmer, knitr, testthat, and DBI) are now implemented with OpenTelemetry support. Read more in this blog post by Charlie Gao, Aaron Jacobs, Barret Schloerke, and Gábor Csárdi: https://lnkd.in/eFwADQN3 • Quarto 2 introduces a custom Markdown parser designed to provide actionable syntax errors, preserve source locations throughout the processing pipeline, and maintain syntax stability across the project’s lifetime. Read more in this blog post by Carlos Scheidegger: https://lnkd.in/eJ9E2uqP • bslib 0.11.0 and py-shiny 1.6.0 introduce toolbar components: compact UI elements for fitting buttons, selects, and other controls into card headers/footers, input labels, and text input submit areas. Read more in this blog post by Liz Nelson: https://lnkd.in/eX9t-gs9 We round up these updates and more in the Glimpse newsletter: https://lnkd.in/eQTJi9hE

Extendimos el plazo de envío de resúmenes para Research Software Latinoamérica (RSLA26), la primera conferencia internacional de software de investigación en Latinoamérica (gratuita y virtual, en agosto de 2026) 💻 Estan invitadas todas las personas que desarrollan, utilizan, mantienen y sostienen software de investigación en América Latina. Se alienta especialmente la participación de personas que presentan por primera vez y/o profesionales en etapas tempranas. 🗓️ Nueva fecha límite: 14 de Junio 🔗 https://rs-latam.org/