Posit PBC

Posit PBC

Software Development

Boston, Massachusetts 105,439 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, graphic

    105,439 followers

    How does a top pharmaceutical company adopt R and open source across its entire organization? RSVP to learn how GSK did it: https://lnkd.in/ghSF4Cgy On November 7th at 12:00 PM ET, the GSK team will share their inspiring journey towards company-wide adoption of R, moving from initial pilots to setting large-scale adoption goals. Watch them share how they overcame challenges in shifting to end-to-end use of R, evolved their training programs to upskill teams more effectively, and continue their ongoing mission to contribute back to the open-source community. Stay afterward to ask your questions with your peers live during the Q&A session with the team at GSK. See you there!

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    105,439 followers

    Interested in learning more about Quarto and how it differs from R Markdown? In this video by christophe DERVIEUX, you can learn all about Quarto and its multi-language workflow. He walks through how to use Quarto in various IDEs (RStudio, JupyterLab, VS Code), and its syntax. The video can also help answer questions like: Why switch to Quarto from R Markdown? In which cases? How does Quarto integrate with existing workflows? Hopefully, the video will inspire you to try out Quarto today! https://lnkd.in/gJaguxGe

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    105,439 followers

    Great Tables v0.13.0 is out! The python package that helps you make beautiful data display tables is now even greater. Richard Iannone & Michael Chow write: Now you can fully, and precisely, style your table with the `tab_style()` method with the enhanced location (`loc`) targeting options. This augmentation of the `loc` module to include all locations in the table means that there won’t be a spot in the table to which you can’t add styling. This is terrific because it gives you free rein to fully customize the look of your table. Learn more on the Great Tables blog: https://lnkd.in/gx2Z4F_j #greattables #pydata #python #posit

    • great tables version 0.13.0: applying styles to all table locations.
  • View organization page for Posit PBC, graphic

    105,439 followers

    Posit is excited to host four free hands-on workshops at this year's R/Pharma! 🎉 Starting this Friday, Oct 25th, below are some of the workshops you could attend! 🗓️ Oct 25, 13:00-15:00 EDT {shinylive}: Serverless Shiny applications workshop. An exercise in deploying your App to GitHub Pages Barret Schloerke 🗓️ Oct 25, 15:00-17:00 EDT Preview of Posit Administrator Training Shannon Hagerty 🗓️ Oct 25, 15:00-17:00 EDT Tables in Python with great tables Richard Iannone, Michael Chow 🗓️ Nov 1, 09:00-12:00 EDT Selected examples on how to scale up computations in R (e.g. by using HPC) Michael Mayer Interested? ☺️ You can register for these free workshops here: https://lnkd.in/evcBwtXe 

    R/Pharma 2024

    R/Pharma 2024

    events.zoom.us

  • View organization page for Posit PBC, graphic

    105,439 followers

    We’re thrilled to share that Hadley Wickham, Chief Scientist at Posit, has been honored with the 2025 ASA Statistical Computing and Graphics Award by the American Statistical Association - ASA. This prestigious award highlights Hadley’s significant contributions to the field, particularly his development of open-source tools. Hadley’s work on tidyverse packages like dplyr and ggplot2, as well as package development tools like roxygen2, have transformed how people approach statistical computing, visualization, graphics, and data analysis. His dedication to building accessible, powerful tools reflects our mission here at Posit: making knowledge creation and consumption easier for everyone. At Posit, we believe open-source software drives innovation. Hadley’s continued work exemplifies that belief, showing up in classrooms, businesses, and research organizations worldwide. This award, to be presented at the 2025 Joint Statistical Meetings in Nashville, Tennessee, is a testament to his lasting impact. Congratulations, Hadley, on this well-deserved honor!

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    105,439 followers

    🔄 Run machine learning predictions directly in your database with tidymodels and orbital! At posit::conf(2024), we introduced the orbital package, allowing you to seamlessly translate tidymodels workflows into SQL backends. By leveraging the speed and power of your database, like Snowflake, you can perform faster, scalable predictions without needing R dependencies. In our latest blog, we walk through how to: → Connect to Snowflake using Posit Workbench on Snowpark Container Services (SPCS) → Train a model on 2,000 rows of the lendingclub dataset → Use orbital to convert the model into Snowflake SQL for fast, in-database inference → Automatically update your workflows by scheduling retraining in Posit Connect Read the full walkthrough → https://lnkd.in/gWhtfdNb

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    105,439 followers

    The Shiny Contest winners are out! https://lnkd.in/gpWDWwEZ All of these are Shiny apps. Every one comes with a repository reproducing their apps. Each is created by the community, for the community, to show off what these developers can do with Shiny and open source data science. Overall Winner: Curbcut by David Wachsmuth & Maxime Bélanger de Blois Winner: Shiny for Python and Newcomer Prizes: signature .py by Arthur Bréant Runners-Up: - Oh My Bag – The Heist of the Century by miskowski85 - Borders by Evan Brand - Pomodoro Timer by Agustin Pérez Santangelo and Angel Escalante - stoRytime with Shiny by Umair Durrani - California Schools Climate Hazards Dashboard by Hazel Vaquero, Charlie Curtin, Liane Chen, Kristina Glass Congrats!! Joe Cheng writes: > Organizing a contest like this can be nerve-racking—will people participate, and if they do, will the quality match our hopes? On the Shiny team, we primarily interact with developers through GitHub issues and ad-hoc interactions. Despite our best efforts to serve the Shiny community, it can sometimes feel distant. > But this contest has been a powerful reminder of just how talented and dedicated this community is. The submissions we received reflect literally thousands of hours of hard work and creativity. They demonstrate mastery of data science, user-interface design, and specific scientific domains. I’m incredibly grateful for everyone’s participation, and I couldn’t be more proud of the community and ecosystem of tools we’ve all built together. See all the winners, runners up, and honorable mentions at https://lnkd.in/gpWDWwEZ See all the submission on Posit Forum: https://lnkd.in/geUDyjyU

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    105,439 followers

    Join us on November 7th for an exclusive YouTube Live event where GSK will share their open-source journey: moving from pilot projects to large-scale enterprise adoption of R in their biostatistics toolkit. Add it to your calendar here --> https://lnkd.in/ghSF4Cgy The GSK team will discuss: 🌱 Their Commitment to Open-Source: How they began their journey with R and initiated pilots to foster broader acceptance across the organization. 🎯 Overcoming Adoption Challenges: Strategies they're implementing to shift toward end-to-end use of R, aiming to reach parity with proprietary languages. 🎓 Evolution of Training Programs: How they upskill teams while meeting key deliverables. 🌟 Contributing Back to the Community: The importance of giving back to open-source. Stay after the presentation for a live Q&A session to ask the team your questions! 🔖 Save the Date: November 7th, 2024 📅 Add it to your calendar: https://lnkd.in/ghSF4Cgy 🕙 Time: 12 PM ET 📍 Where: YouTube Live 🙇♂️ Who: Andy Nicholls | Becca Krouse | Ben Arancibia 🍿 Miss our other pharma web events? Access our playlist here: https://lnkd.in/gzQ54dHU

    • Posit x GSK | from pilot projects to enterprise adoption
  • Posit PBC reposted this

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    Director, Health and Life Sciences Industry Leader at Posit/RStudio PBC Talks about #rinpharma #rstats #AI4drug github.com/philbowsher

    R/Pharma has 19 Free #OpenSource Drug Development Workshops taught by amazing volunteers from the community! Dates & Full list below: Register & join all the live workshops via the conf platform here: https://lnkd.in/gTVkHNhn Free Digital Credentials via Credly by Pearson! Workshops run Oct 21st, Oct 25th, Oct 28th, & Nov 1st. *Please note some sessions run during APAC time zones. You can filter in the Zoom platform to see workshops and other sessions! 𝐎̲𝐜̲𝐭̲𝐨̲𝐛̲𝐞̲𝐫̲ ̲𝟐̲𝟏̲𝐬̲𝐭̲ 1. Diversity Alliance Hackathon Christina Fillmore & members of R/Pharma community *Register for this here: https://lnkd.in/gyiBFxcv 𝐎̲𝐜̲𝐭̲𝐨̲𝐛̲𝐞̲𝐫̲ ̲𝟐̲𝟓̲𝐭̲𝐡̲ 2. Parameterised plots and reports with R and Quarto Nicola Rennie (University of Lancaster) 3. Building ADaMs with #pharmaverse R packages admiral, metacore/metatools and xportr Ben Straub (GSK), Fanny Gautier (Cytel), Edoardo Mancini (Roche) 4. {shinylive}: Serverless Shiny applications workshop. An exercise in deploying your App to GitHub Pages Barret Schloerke (Posit PBC) 5. Knowledge graphs for #drugdiscovery Thomas Charlon MEng PhD (Harvard Medical School) 6. Preview of Posit Administrator Training Shannon Hagerty (Posit) 7. Tables in #Python with Great Tables Richard Iannone (Posit), Michael Chow (Posit) 𝐎̲𝐜̲𝐭̲𝐨̲𝐛̲𝐞̲𝐫̲ ̲𝟐̲𝟖̲𝐭̲𝐡̲ 8. *Good Software Engineering Practice for R Packages Daniel Sabanés Bové (RCONIS), Joe ZHU (Roche) 9. The Near-Future of Regulatory Submissions: Embracing Reproducibility, Open Source, and Interactivity Leena Khatri (Roche), Davide Garolini (Roche) 10. #Shiny Application Development and Validation with Rhino Deepansh Khurana (Appsilon) 11. #SDTM programming in R using {sdtm.oak} package Rammprasad Ganapathy (Genentech) 12. #Bayesian Dose-Response Modeling with the dreamer R Package Richard D. Payne (Eli Lilly and Company) 13. Unlocking Analysis Results Datasets: A Practical Workshop for Creating and Utilizing ARDs for Clinical Reporting Daniel Sjoberg (Genentech), Becca Krouse (GSK) 14. *Reproducible and scalable reporting using rmarkdown & heddlr Farid Azouaou (Thaink2) 𝐍̲𝐨̲𝐯̲𝐞̲𝐦̲𝐛̲𝐞̲𝐫̲ ̲𝟏̲𝐬̲𝐭̲ 15. Selected examples on how to scale-up computations in R (e.g. by using #HPC) Michael Mayer (Posit) 16. No code data analysis with blockr David Granjon (cynkra GmbH), Karma Dorje Tarap (BMS), John Coene (The Y Company) 17. R Validation Hub Risk Tools Developer Day Doug Kelkhoff (Roche) 18. Visualizing #ClinicalTrial Data: Foundational Principles for Data Visualization, Best Practices, and Programming Techniques in #Rstats by Example Joshua J. Cook (University of West Florida Big Data Health Science Center) 19. The Expanse: Creating R Packages for Statisticians Ben Arancibia (GSK) Open Source in Pharma

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    105,439 followers

    Securely store an API key on Connect Cloud and deploy an LLM-powered Shiny for R application ⚡️ Secret variable management on Connect Cloud helps R users build production applications in the cloud. This short demo explores a Shiny for R web application that enables users to generate synthetic datasets on the fly with an OpenAI API key. In just minutes, you can turn code from a public GitHub repository into a live application on Connect Cloud. → Create a free account: https://lnkd.in/gi6Ws2jh → How-to guide: https://lnkd.in/gBH9JrUm

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