It blows my mind how well folks here have steered the ship so that from the level of corporate governance down to the teams and projects they invest in, they are really laying down that foundation for Posit to make a positive and enduring impact on how people get science done. How much trust should you put into a statement from a legal entity with a charter and lots of case law that basically forces them to maximize value for their shareholders over others? How much trust can you put into the statements of people who have obvious conflicts of interest (myself included)? The following goes part of the way in assuaging me If you're at least tangentially familiar with VC financing and valuations for data science firms in the past decade – and how being a privately-held PBC might cut into that – I hope you can get a sense of the considerable financial opportunity costs the founders, early investors, and leadership at RStudio have paid to make Posit PBC a reality, and stay committed to that mission.
#IFELSE RSTUDIO SOFTWARE#
Posit is a Public Benefit Corporation, focused on "creating free and open-source software for data science, scientific research, and technical communication." The leadership here talks a lot about doing what is necessary to become an enduring "100 year" enterprise, paying costs early-on to lay the foundation to become a dependable institution in our field, supporting great free and open source tools for scientific research for the long term.Īs a side note: On face-value, I don't give much credibility to a company's mission statement. Dozens of educators & content makers help folks make use of the best open source tools & methods in our field.
#IFELSE RSTUDIO PLUS#
⬢ There are more than 40 full-time engineers at Posit focused just on open source software, plus many more working at least partly developing or otherwise supporting the projects above, and other OS tools. ⬢ Many other projects to name a few more gt is a popular tool for making tables, Siuba is a dplyr port for python, chartnine a port of ggplot2 for python, Academy offers workshops to enterprise data science teams.
#IFELSE RSTUDIO PROFESSIONAL#
⬢ Professional products like Workbench, Package Manager and Connect help data science teams work in complex environments common in enterprises, large and small. ⬢ Quarto & R Markdown - My favorite tools for analytics notebooks and publishing, whether that's in R or Python. Shiny for python is an exciting new project under this team. ⬢ Shiny - My favorite tool for building dashboards & interactive visualizations. ⬢ tidymodels/Vetiver - A framework for modeling and ml, using tidyverse principles. ⬢ tidyverse/r-lib - A team of developer data scientists supporting dozens of my go-to R packages, plus doing much else.
⬢ RStudio IDE - My favorite place to do data science. I joined RStudio five years ago, at the time the company was best known for the RStudio IDE, as well as a few R-centric projects.īut, today when I think of what Posit does, I think
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