Below you’ll find excerpts from recent reports by industry analysts about RStudio and our professional products. We hope you will find this information useful for your own research, and when advocating for RStudio products within your organization.
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RStudio now seeks to bring its R and Python-based data science capabilities to Tableau’s BI platform to provide better analytical workflows when coding data science jobs in R and Python. RStudio’s objective is two-fold: to give Tableau users a better experience when coding predictions and recommendations by introducing supplemental data management and modeling capabilities, as well as to make R and Python programmers more comfortable using Tableau for data science.
According to the Global Artificial Intelligence/Machine Learning Platforms Growth Opportunities report, RStudio bridges the gap between data science teams (using R and Python) and decision makers (or other systems using outputs via APIs integration) with a suite that includes the creation or sharing of insights (RStudio Server Pro, RStudio Connect), management, maintenance, and reproducibility (RStudio Package Manager).
The company is delivering its data science portfolio in the cloud as it continues to build an open source and commercial business around R and, increasingly, Python open source programming languages used to code data science.
The company’s raison d’être used to be to provide open source and commercial data science for R coders. RStudio is now looking to expand its addressable audience by embracing a second open source programming language – Python.
The company has changed its corporate status from a C corporation to a benefit corporation, and has shifted its product focus beyond the R open source programming language to support Python open source-based data science.