Open Source

Open source is core to our DNA

Posit was founded with the mission to create open source software for data science, scientific research, and technical communication. We don’t just say this: it’s fundamentally baked into our corporate charter as a Public Benefit Corporation. Our imperative is not growth at all costs, but rather to build a company that will still be here fulfilling its mission in 100 years.

Public Benefit Annual Report

Scaling open source, a model that works

We have created a sustainable model for funding our mission. The packages, protocols, and file formats we develop will always be open source and available to all. As these open source tools become widely adopted, this creates an opportunity to sell complementary products that help in their adoption at scale, the proceeds of which fund further open source development.

We're dedicated to open source

The best way to achieve meaningful progress is to put the power of open source data science tools in the hands of everyone who needs them. Starting with you.

Open source software is resilient.

It’s developed collaboratively by the global community. With open source, you’re not chained to the fortunes of a single company, and you own not just your work, but all the code needed to run it.

Open source software is participatory.

You’re not limited by the vision of one company and the methods they support; you’re free to pick and choose from a vast palette of options or even develop your own.

Open source software is free.

It’s accessible to everyone, regardless of economic means. This is particularly important for science where the ability to reproduce and critique the work of others is essential for progress.

Always Open

We write open source software, and we always will

40% of Posit engineers work full-time on open source software, and many others contribute part-time. We create tools used by millions. Here are just a few.

RStudio IDE

Used by millions of people weekly, the RStudio IDE is a set of tools built to help you be more productive with R and Python.

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Shiny

Deploying your Shiny applications could not be easier. You don’t need to own a server or know how to configure a firewall to deploy and manage your applications in the cloud.

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tidyverse

The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures.

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tidymodels

The tidymodels framework is a collection of packages for modeling and machine learning using tidyverse principles.

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Shiny Server

Open Source Shiny Server provides a platform on which you can host multiple Shiny applications on a single server.

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Featured customers

Regeneron transformed its internal professional development by replacing slow, manual pairing processes with MAGNETRON, an AI-powered mentor matching platform built on Posit Team. By integrating R, Python, and knowledge graphs, the team achieved a 20X acceleration in processing applications, enabling personalized growth opportunities for over 4,000 employees across the Fortune 500 company.

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Regeneron data science team members Regis A. James, Jordan Leao, and Jennifer Michel collaborating on the MAGNETRON AI platform.

City of Hope's Applied AI and Data Science team uses Posit Connect as the central hub for deploying tools across clinical and business operations, from comorbidity documentation to a tool that accelerates clinical trial feasibility by identifying eligible patient cohorts and assessing site readiness using a single, AI‑enabled front end. Now they're working with Posit to embed those tools directly inside Epic, so clinicians can access data science output without ever leaving the workflow where they actually work.

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When REYL's Risk Management team set out to modernize how the Bank tracks and resolves operational incidents, they didn't open a procurement process. They built the solution themselves, using R, Shiny, and Posit Connect, and deployed it across the entire organization in a matter of months. What started as a question about workflow has become a quiet demonstration of what's possible when domain experts are also given the tools to be builders.

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