Develop, collaborate, manage and share your data science work in R and Python–all with RStudio. Learn More.


Announcing vetiver for MLOps in R and Python

June 9, 2022 |

We are thrilled to announce the release of vetiver, a framework for MLOps tasks in R and Python. Use vetiver to version, share, deploy, and monitor a trained model.


Announcing pins for Python

June 2, 2022 |

We are so happy to announce the release of pins for Python. You can use pins to publish, version, and share objects such as datasets and models.


Challenges in Package Management

February 23, 2022 |

Installing software packages from CRAN or PyPI is easy until it isn't. Let's look at common challenges associated with package management and understand why it can be so difficult.


Build and Share Jupyter Notebooks on RStudio Team

February 3, 2022 |

With RStudio Team, data scientists can build and share their work within an integrated architecture.


Develop, Collaborate, and Scale Across R and Python

January 27, 2022 |

RStudio Workbench is the enterprise-level IDE for data scientists who need to develop, collaborate, and scale in R and Python.


2021 at RStudio: A Year in Review

January 4, 2022 |

Happy New Year! In this blog post, we round up some of the many announcements and product releases from RStudio in 2021.


Three Ways to Program in Python With RStudio

December 6, 2021 |

RStudio has many tools for both R and Python programmers. In this blog post, we’ll showcase various ways that you can program in Python with RStudio tools.


Using R & Python to Augment Tableau

November 17, 2021 |

A Joint Webinar with Solita, an RStudio Full Service Partner


RStudio Connect 2021.08.0 Python Updates

August 30, 2021 |

RStudio Connect introduces support for FastAPI and other ASGI-compliant frameworks. Learn how to hide input code cells in Jupyter Notebooks, for audiences where a cleaner or less code-heavy presentation would be useful.


Debunking the Myths of R vs. Python

June 15, 2021 |

Data science teams sometimes believe that they must standardize on R or Python for efficiency, at the cost of forcing individual data scientists to give up their preferred, most productive language. RStudio’s professional products provide the best single home for R and Python data science, so teams can optimize the impact their team has, not the language they use.


(Re)Introducing the "Solutions" website

May 27, 2021 |

RStudio's solutions website has been around for a long time and has recently undergone an extensive redesign


Code-First Data Science for the Enterprise

May 12, 2021 |

While you may already be a practitioner of code-first data science with R or Python, chances are you work within a larger organization with many analytic tools. In this post, we give you some advice on navigating this landscape, and convincing others in your organization of the value of code-first data science.


2020 at RStudio: A Year in Review

January 19, 2021 |

In this blog post, I take a look back at some of the many announcements, product releases, etc. that RStudio did in 2020. It was an exciting year, despite the challenges that 2020 presented to everyone, and we were pleased to continue to support and deliver value to the R and Python data science community.


RStudio: A Single Home for R and Python Data Science

January 13, 2021 |

Over the past year, RStudio has invested in making our pro and open source offerings the best common home for both R- and Python-based Data Science. In this blog post, we explain why we support both Python and R, review these recent features, and encourage readers to attend our upcoming webinar.


Last Call for the 2020 R Community Survey

January 7, 2021 |

Only 2 days left before our survey closes! Please fill out our 3nd annual survey so that we can better understand today's R community. We'll publish the results in February 2021 as free and open source data.


Why RStudio Supports Python for Data Science

October 30, 2020 |

When our customers ask us why RStudio's products support Python as well, we have a simple answer: It's because our data shows that our customers use R and Python for different tasks


Using R to Drive Agility in Clinical Reporting: Questions and Answers

October 8, 2020 |

Andy Nicholls and Michael Rimler from healthcare firm GlaxoSmithKline plc (GSK) answer questions posed during their recent webinar, Using R to Drive Agility in Clinical Reporting.


Debunking R and Python Myths: Answering Your Questions

September 10, 2020 |

In this post, we answer questions raised by participants and attendees during our recent Debunking R & Python Myths webinar. Our bottom line was to use the tools that let you be most productive in the shortest amount of time.


Debunking the R vs. Python Myth

August 26, 2020 |

For data science to be credible, agile and durable, we need to embrace the differences between R vs. Python.


How to Deliver Maximum Value Using R & Python

August 13, 2020 |

For data science teams to be successful, they need to embrace both R and Python. The ease of interoperability gives the user the flexibility to fill in any tool gaps for their own needs.


R vs. Python: What's the best language for Data Science?

December 17, 2019 |

We will briefly examine the debates over R vs. Python, and then share

rstudio::conf 2019

New language features in RStudio

January 24, 2019 |

RStudio 1.2 dramatically improves support for many languages frequently used alongside R in data science projects, including SQL, D3, Stan, and Python. In this talk, you'll learn how to use RStudio...