Posit PBC’s cover photo
Posit PBC

Posit PBC

Software Development

Boston, Massachusetts 112,233 followers

👋 Hi there. We’re Posit. We make open-source software to help individuals, teams, and enterprises with data science.

About us

The open-source data science company for the individual, team and enterprise.

Website
posit.co
Industry
Software Development
Company size
201-500 employees
Headquarters
Boston, Massachusetts
Type
Privately Held
Founded
2009
Specialties
R Programming, Python, Open Source, Data Science, Data Analytics, Reproducibility, Shiny, R Markdown, and Quarto

Locations

  • Primary

    250 Northern Avenue

    Suite 410

    Boston, Massachusetts 02210, US

    Get directions

Employees at Posit PBC

Updates

  • View organization page for Posit PBC

    112,233 followers

    Stop letting data complexity bloat your clinical review workflows. Join Posit and our partners, Regeneron and Atorus, for a live, 60-minute webinar on October 21st at 12 PM ET. We're revealing how this collaboration created a powerful, scalable workflow that allows even new open-source programmers to build custom, GxP-ready Shiny applications for clinical data monitoring in minutes. You'll learn: ✅ How to build a Unified Analytical Environment to retire fragmented legacy tools. ✅ A live demo of a Config-Driven App that dramatically cuts development time and enforces compliance by design ✅ Operational strategies for empowering internal teams to manage their own apps securely in a regulated environment. If you're focused on reproducibility, speed, and scaling R-based insights in clinical reporting, this is a must-attend session. Register now to secure your spot: https://lnkd.in/ggX7hd7g #Pharma #LifeSciences #Posit #Shiny #GxP

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  • Posit PBC reposted this

    View profile for Jeroen Janssens

    DevRel at Posit, Author of Python Polars: The Definitive Guide & Data Science at the Command Line

    The 2025 Plotnine Plotting Contest deadline has been extended to October 17! Last year, I submitted two visualizations to this contest. It took quite some time and effort, but it was totally worth it: 🔵 I became a runner-up 🟢 I presented about it at PyData Amsterdam 🟣 And it got me a job at Posit PBC (OK, I probably brought a few other things to the table, but it certainly didn't hurt 😉. Speaking of tables, there's also the Great Tables contest happening right now.) If you've been on the fence about participating, here's why now is the time: submission numbers are still relatively low, which means your odds of placing are genuinely strong. Whether you're looking to challenge yourself, build your portfolio, or connect with the Python data visualization community, this contest delivers real value. Have questions about the contest or the submission process? Feel free to reach out; I'm happy to help! Contest details: https://lnkd.in/ggJvzj-B PyData Amsterdam talk: https://lnkd.in/gKZjjGmg

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  • We're excited to announce that Posit has been recognized as a "One to Watch" for AI/ML Development & Deployment in Snowflake's 2026 Modern Marketing Data Stack Report! 🚀 This is a significant milestone for our partnership, which empowers data scientists to build and deploy AI/ML solutions directly within the secure and governed Snowflake AI Data Cloud using the Posit Native App for Snowflake. What this means for your data teams: - Develop and Iterate with Speed: Accelerate prototyping and deployment. - Govern Securely: Balance flexibility with centrally managed access. - Drive Cost-Effectiveness: Maximize the value of your data science and Snowflake investments. We are proud to be a part of the Snowflake ecosystem and look forward to continuing to help our shared customers become true agents of change in an AI-driven world. Read the full announcement for details on how we fuel success in AI/ML development and deployment: https://lnkd.in/gFeTSVME #Snowflake #DataScience #AI #Posit #DataCloud

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  • Introducing the Quarto Workflow in Positron: A Video Tutorial and Guide! 🎬 We've released a new video tutorial and blog post by Charlotte Wickham that walks through creating and customizing your Quarto documents inside Positron, the modern IDE designed for data science. Quarto is a powerful system that lets you combine executable code (Python, R, etc.) and narrative text to easily create professional-grade reports, presentations, and websites. No more copy-pasting code and results! Here's why Positron is great for Quarto users: • Positron comes with the Quarto command-line interface and extension pre-installed. You can start working immediately without complex setup steps. • The IDE provides dedicated buttons and commands (like "Quarto: Preview" and "Quarto: New Document") that make rendering, inserting code cells, and checking your work quick and simple. • Inside your Quarto code cells, you get the same support as any other code file, including code completion, linting (to catch simple errors), and direct integration with Positron's console and data viewers. Watch the tutorial: https://lnkd.in/evYDVsRS  Read the blog post: https://lnkd.in/eBn2weM3

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  • Announcing ggplot2 4.0.0: A Significant Update to the R Visualization Framework We are pleased to announce the release of ggplot2 4.0.0. This major update, which arrived on the package's 18th anniversary, includes substantial architectural shifts and a suite of features designed to improve the experience for R/Tidyverse data scientists and package developers alike. This version focuses on making plot customization and labeling more intuitive, addressing the need for both simplified theming and a more robust foundation for extensibility. Key features and benefits of ggplot2 4.0.0: • Revamped theming system: Layer styling defaults are now controlled by themes using new "ink" and "paper" roles, leading to greater consistency. New helper functions like theme_sub_axis_x() are introduced to streamline verbose and often chaotic theme declarations. • Smarter variable labeling: The package now uses the 'label' attribute from data column metadata (common in packages like gt and Hmisc) as the default label. You can also supply a labs(dictionary) for consistent, human-readable labels across plots. • Architectural upgrade to S7: The core object system has been rewritten from S3 to S7. This provides a more robust structure, enforces stricter type checking, and enables powerful new capabilities for extension developers. 🎉 Join the ggplot2 4.0.0 Release Party! Want to dive deeper into the changes and learn about the new architecture? Join Teun van den Brand and the ggplot2 extenders community for a virtual celebration and discussion. • Oct 3 at 3:00 PM ET • Sign up: bit.ly/join-gg-extenders Learn more about the full capabilities and changes in this release: https://lnkd.in/gFQGAkf5

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  • How does an IDE help a data science team build the right products, not just write the code? Dr. Claire Welsh lead data scientist and product owner at the NHS-R Community, has shared her hands-on experience with it. In a recent article, she highlights how Positron is not just for data scientists, but also for those in supporting roles who require a seamless, multi-faceted workflow. Claire, who works as a product owner, uses Positron to bridge the gap between technical development and stakeholder needs: • Positron's built-in GitHub interface allows for effortless management of pull requests and issues, a massive benefit for maintaining a focused workflow and curating product backlogs. • The IDE's seamless support for Quarto simplifies the creation of plans, processes, and documentation. • The dedicated testing sidebar makes it easy to run and manage tests, which is crucial for a product owner who needs to understand the user experience and functionality of an app. • While it uses a different project management approach than RStudio, Positron's folder-based workflow and the Project Manager Extension provide a clean way to switch between and organize multiple projects. This article provides a unique perspective on how modern data science IDEs can be used to support the entire project lifecycle, not just the code-writing phase. 🔎 Check it out here! https://lnkd.in/eyXQgMEt

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  • 🚀 Ready to elevate your data science capabilities?🚀 The webinar on the powerful synergy between Posit and Snowflake is now available on-demand! Discover how to transform data into insights more efficiently and develop secure, AI-powered applications. You'll see real-world examples and learn how these cutting-edge tools can drive better business outcomes. Watch the full webinar today! https://lnkd.in/gurHxK8G #Snowflake #AI #Webinar #DataScience

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  • 🚀 The third edition of the Posit AI Newsletter is out now! Curated by Posit’s Sara Altman and Simon P. Couch, this biweekly newsletter keeps you up to speed with what’s happening in the AI world, both at Posit and beyond. It’s opinionated, concise, and designed to keep you in the loop without overwhelming you. ✨ This week, we cover: • The Claude degradation incident • AI-related happenings from Posit conf (including a ggplot2 voice assistant) • What we mean when we say “agents” …and more! 📬 Read the newsletter: https://lnkd.in/g6W7qQ6e

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  • To encourage you to submit to the 2025 Table Contest, we're showing off past entries! Check out Richard Bamattre's interactive board game table. 🎲 "It's hard to sift through thousands of games..." - Richard Bamattre Richard solved a real parent problem: finding the perfect game for family game night from 5,000+ options on Board Game Geek. His interactive R reactable included smart filtering, visual graphics, and a searchable interface that turned an overwhelming database into a practical family tool. 🎮 View his entry: https://lnkd.in/giRdbmJQ 🚀 What everyday problem will YOUR table solve? Submit using Great Tables, gt, reactable, or any table-making package from Python or R. 📝 Entry details: https://lnkd.in/g93jcSgq

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