Shiny for Python enables you to create highly interactive visualizations, real time dashboards, data explorers, model demos, sophisticated workflow apps, and anything else you can imagine—all in pure Python, no web development skills required.

Shiny works with the Python data science and popular visualization packages you already use. Deploy and share with others using Posit Connect, Shiny Server, or anywhere you can host FastAPI applications.

Quarto is a technical publishing system that executes Python with markdown to weave together text, tables, images, code output, and interactive content.

Build reproducible workflows, websites, documents, and presentations using Python, R, Julia, and Observable JS.

Share knowledge and insights organization-wide by publishing to Posit Connect, Confluence, Quarto Pub, or other publishing systems.

You have a story to tell with data – tell it with Quarto.

Vetiver is an open-source framework for Machine Learning Operations (MLOps), designed to help Python and R developers version, deploy, and monitor machine learning models.

Store and version your models, create REST APIs for deployment, retrieve model predictions, and monitor the performance of models built with popular frameworks like scikitlearn, pytorch, and XGBoost.

Deploy your versioned models to Posit Connect or a public or private cloud via Docker with transparent, responsible documentation.

The pins package publishes data, models, and other Python objects to shared storage, making it easy to share and track the files you need to get work done.

You can pin objects to a variety of pin boards, including folders (to share on a networked drive or with services like DropBox), Posit Connect, Amazon S3, Google Cloud Storage, and Azure Datalake. Pins can be automatically versioned, making it straightforward to track changes, re-run analyses on historical data, and undo mistakes.

You can use pins from R as well as Python, making it easy for bilingual organizations to share their work in a common format, regardless of language.

Posit Workbench is the place for teams to collaboratively build business-transforming models, applications, reports, and more with code, securely and at scale.

Workbench supports both Python and R, giving data professionals access to all the development environments they love, including Jupyter, VS Code, and RStudio.

Workbench provides enterprise-friendly features, such as centralized management, security, flexible deployment architectures, and commercial support.

Posit Connect is for Python and R coders who build things worth sharing.

Get notebooks, dashboards, models, automated reports, and interactive applications out of development and in front of decision-makers – quickly, easily, and securely.

Host data products built using popular tools like Streamlit, Dash, Flask, FastAPI, Jupyter Notebooks, Voilà, Bokeh, Quarto, and Shiny with built-in authentication and resource management features.

Posit Package Manager is a repository management server to organize and centralize Python and R packages across your organization.

Give your Python and R users access to the PyPi, CRAN, and Bioconductor packages they need to do their work while restricting access to unwanted packages.

Host internally developed packages alongside public packages within the bounds of your firewall.

Traditional data science learning is generic and broken. Posit Academy is designed to fix what’s wrong.

Academy is a cohort-based, mentor-led apprenticeship that teaches data science skills through the use of real open-source tools to solve real problems in a collaborative setting.

Academy is led by Posit experts alongside your expert data scientists and delivered via an online platform with industry-relevant interactive coding exercises and projects.

Tori Oblad

Enterprise Data and Analytics Officer, WaFd Bank

Matthias Mueller

Sr. Director, Marketing Analytics, Campaign Monitor

Nicole Lakens

Squad Lead Data Science, Air Miles