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Posit Workbench
Enterprise-grade IDE server supporting RStudio, JupyterLab, Jupyter Notebooks, and VS Code sessions simultaneously. Workbench enables centralised, multi-user development on shared compute — including Kubernetes and SLURM cluster integration — with LDAP, AD, SAML, and PAM authentication. Role-based access controls, project sharing, and resource limits make it the go-to IDE infrastructure for enterprise data science teams.
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Posit Connect
A publishing and deployment platform for R and Python content — including Shiny applications, Plumber and FastAPI REST APIs, Quarto and R Markdown reports, Jupyter Notebooks, Dash and Streamlit apps, and Pins data objects. Connect handles scheduling, access control, vanity URLs, environment variables, and runtime isolation, enabling data science teams to operationalise analytical output without requiring a separate DevOps pipeline.
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Posit Package Manager
An internal CRAN- and PyPI-compatible package repository that gives organisations governance over which R and Python packages are available to their data scientists. Package Manager supports curated snapshots for reproducibility, offline air-gapped deployments, binary package serving for faster installs, and integration with CI/CD toolchains. Essential for regulated environments requiring software supply chain controls.
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Posit Cloud
A managed, browser-based data science environment suitable for training, education, and lightweight collaborative development. Posit Cloud removes infrastructure overhead for onboarding new analysts, running workshops, or providing sandboxed environments — with direct access to RStudio and Jupyter interfaces without local installation.
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Quarto
Posit's open-source scientific and technical publishing system — the next generation of R Markdown. Quarto supports R, Python, Julia, and Observable JS, enabling reproducible documents, presentations, websites, dashboards, and books from a single authoring framework. Outputs include HTML, PDF, Word, and interactive formats, tightly integrated with Posit Connect for automated report publishing.
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Shiny for R and Python
Posit's reactive web application framework enabling data scientists to build interactive dashboards and analytical tools directly in R or Python — no JavaScript expertise required. Shiny apps deploy natively to Posit Connect or Shiny Server, with support for Shinylive (WebAssembly-based client-side execution) for serverless distribution scenarios.