Supported: Multiple Model Development Languages and Tools Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.Platform Data Modeling Features Building predictive data models Supported: Data Transformations Use visual tools for standard transformations.Supported: Interactive Data Cleaning and Enrichment Access to visual processors for data wrangling.Supported: Interactive Data Analysis Ability to analyze data interactively using Python or R Notebooksĭata Preparation Features Ability to prepare data for analysis.Supported: Visualization Intuitive data visualization tools.Supported: Automatic Data Format Detection Automatic detection of data formats and schemasĭata Exploration Features Ability to explore data and develop insights. Supported: Extend Existing Data Sources Use R or Python to create custom connectors for any APIs or databases.Supported: Connect to Multiple Data Sources Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion.Platform Connectivity Features Ability to connect to a wide variety of data sources Categories Machine Learning Predictive Analytics Data Science Posit Features Posit’s open-source software and commercial software form what the vendor describes as a virtuous cycle: The adoption of open-source data science software at scale in organizations creates demand for Posit’s commercial software and the revenue from commercial software, in turn, enables deeper investment in the open-source software that benefits everyone. The platform is complemented by online services, including Posit Cloud and shinyapps.io, to make it easier to do, teach and learn data science, and share data science insights with others, over the web. This enables data science teams using R and Python to deliver interactive reports and applications to decision-makers, leverage large amounts of data, integrate with existing enterprise systems, platforms, and processes, and be compliant with security practices and standards. These products aim to give organizations the confidence to adopt R, Python and other open-source data science software at scale. Their commercial software products, including Posit Workbench, Posit Connect, and Posit Package Manager, are available as a bundle in Posit Team. Their open source offerings, such as the RStudio IDE, Shiny Server, rmarkdown and the many packages in the tidyverse, boast users among data scientists around the world to enhance the production and consumption of knowledge by everyone, regardless of economic means. Posit, formerly RStudio, provides a modular data science platform that combines open-source and commercial products.
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