Posit PBC

One URL. Every approved agent plugin your data scientists are allowed to install. Posit Package Manager now serves agent plugins the same way it serves R and Python packages: from a repository your admins curate. Generally available in the September 2026 release. What one governed marketplace gets you: - Public and private sources in one repo. Mirror posit-dev/skills next to the plugin that encodes your internal validation workflow, served from a single marketplace.git endpoint. - Install from the tools teams already use. Posit Assistant, Claude Code, VS Code, Codex, Cursor. Anything that pulls from Git. - A detail page per plugin listing its skills, hooks, sub-agents, and MCP servers, with custom metadata for reviewer, risk score, and approval date. - Dated snapshots. Point teams at a frozen URL and upstream changes wait until you adopt them. - Authenticated access and air-gapped serving, same as packages. Setup is four rspm commands. Jeremy Allen walks through it, plus the plugin exploits already on record, in the full post: https://lnkd.in/ehCaP7XK #PositPackageManager #AIGovernance #DataScience #AIAgents #OpenSource

Tonight’s World Series opener between the Brewers and Rays will produce a lot more than a box score. To capture data on the games, cameras will track every pitch, every swing, every player on the field, and even the umpires. Brian Chase, VP of Baseball Systems at the Miami Marlins and loanDepot park, explains how that works at their stadium: 12 Hawk-Eye cameras, data arriving in real time, and APIs that turn it into something his team can analyze. We're excited to see Game 1, and for another reminder that data science shows up just about everywhere, including on the field. ⚾️ #datascience

This Halloween, dress up your Quarto docs with these haunting treats! 🧛 Dracula theme: Reveal presentations come with 11 built-in themes, including this vampire-approved favorite! 🦇Batty Extension: Add a flight of bats to your graphs with this new extension by Emil Hvitfeldt! 👻 Easter Egg Extension: Type ‘ghost’ with Sam Parmar’s Easter Egg extension to summon a scary apparition on the screen! Trick or treat… Quarto styling is hard to beat! 🎃how do you make your docs extra spooky? Share in the comments! #quarto

Run R and Python inside Snowflake without your data ever leaving ❄️ 👀 Posit’s native Snowflake app runs RStudio, VS Code or Jupyter for building, Connect for publishing, and Package Manager for governed packages, all inside your Snowflake account. Banks and Insurers use it for risk models, pricing, fraud detection, and claims analytics. Beneva put 100 actuaries and analysts on it, and each one publishes their own tools 😎 Check out the infographic: https://lnkd.in/gErHJqYY

Thank you to Matthew Fidler and Janice Goh for giving us the opportunity to share your work on the Posit blog.❤️ Using data on 59 preterm infants, they built a population PK model in R with nlmixr2 and compared flat and weight-based phenobarbital dosing. The dataset comes with nlmixr2, and the full analysis takes about 40 lines of code. Worth a read and a watch on our YouTube channel! #rstats #nlmixr2

If you caught Allie Warren's talk at posit::conf(2026) about Nowcasting in public health, you'll know she got so many Q&A questions that she couldn't answer them all!! Now's our chance to chat more with her about all the cool stuff she's doing at the Washington State Department of Health 🥳 Come chat with Allie at the Data Science Hangout Thurs Oct 22nd at 12PM ET! You can register at pos.it/dsh, and if you've never been to a Hangout before, you can expect: 😎 fun in the chat 👀 the freedom to lurk 🤗 to make data friends

That's a wrap on Snowflake World Tour New York. Thank you to everyone who stopped by! 🚀 The conversations were the best part. Team after team told us they want to move fast on AI without giving up reproducibility or control. Posit and Snowflake work together to give you both. You can run AI-assisted analysis inside Snowflake, and your data stays under the Snowflake governance you already have. Want to see how it works? Check out how Posit integrates with Snowflake: https://lnkd.in/et7myRwQ #SnowflakeWorldTour #DataScience #AI #DataGovernance #Posit Snowflake Partner Network

More than half of GenAI pilots never make it past proof of concept. Most stall because the team built the workflow without governance in mind, and data quality, risk controls, and cost become problems as soon as the pilot tries to scale. Posit and Amazon Web Services (AWS) laid out what a governed AI workflow looks like. Your data scientists keep working in R and Python with the open-source tools they already use, and they get AI-assisted development inside managed environments. They call foundation models through Amazon Bedrock, limited to the models your organization has approved. ➡ Take a look at what governed, scalable AI looks like in practice: https://lnkd.in/e3WhuxaV #AIgovernance #DataScience #EnterpriseAI #AWS #Posit

The Posit Team Native App for Snowflake installs Posit Workbench Advanced in your Snowflake account, so R and Python run against data that stays inside the Snowflake boundary. 🏒 At the National Hockey League (NHL), Jamie Shive’s three-person data science team models attendance and fan spending across 32 clubs. They used to download CSVs, run R on a virtual machine, and load results into a BI tool. By the time anyone saw the results, the data was out of date. Now they work in one governed workspace. This year a hockey fan fiction series drew new fans into the NHL’s data, and the team watched the spike as it happened. “Everything was off the charts,” Shive says. ➡ Read the full story: https://lnkd.in/eVqrpWfZ 🌟 Try the Posit Team Native App free for 30 days on Snowflake Marketplace. https://lnkd.in/efXPJaTt #SnowflakeNativeApps #SnowflakeMarketplace #DataScience Snowflake Partner Network

Regeneron’s analysts can go from enterprise data to a secure, published application in one workflow. Then, they track who uses it and what to build next. On November 4, Dilip Raghunathan, Sriram Krishnamurthy, and Anand G. from Regeneron will walk through the hybrid analytical ecosystem they’ve built with Posit and share what they’ve learned so far. What they’ll cover: → Accessing enterprise data, writing code, collaborating in GitHub, and working with AI in one development environment → Publishing interactive apps that stay secure and are refreshed for stakeholders → Using usage analytics and AI token telemetry to decide what to build next → The architectural and organizational principles behind their strategy Join us for The Analytical Platform Era is Dead. Long Live Decision Platforms. 📆 Wednesday, Nov 4 | 12 PM ET | Live on Zoom ➡️ Link to register is in the first comment! #Pharma #DataScience