Jeroen Ooms | Monitoring health and impact of open-source projects | RStudio
At rOpenSci, we have come to realize that in order to help researchers get the most out of R, we need better tooling to monitor the quality, health, and impact of R packages. This applies both to our internal projects, as well as other packages in the R ecosystem. But what exactly makes a good R package?
In this talk we discuss various aspects of open-source software that are not always immediately obvious, and that you may want to consider when depending on an R package. We identify several categories of indicators you could look for, ranging from the role in the dependency network, to expectations around maintenance and participation.
Finally we introduce an ambitious new rOpenSci project called R-universe: an open platform, where we will experiment with showing metrics and other background information about packages, that may reveal something about the health and the impact of the project, and also facilitate discovery of other software.
About Jeroen: Postdoc hacker for @ropensci at UC Berkeley
rstudio
RStudio
Data Science
Machine Learning
Python
Stats
Tidyverse
Data Visualization
Data Viz
Ggplot
Technology
Coding
Connect
Server Pro
Shiny
RMarkdown
Package Manager
CRAN
Interoperability
Serious Data Science
Dplyr
Ggplot2
Tibble
Readr
Stringr
Tidyr
Purrr
Github
Data Wrangling
Tidy Data
Odbc
Rayshader
Plumber
Blogdown
Gt
Lazy Evaluation
Tidymodels
Statistics
Debugging
Programming Education
Forcats
RStats
Open Source
OSS
Reticulate
Jeroen Ooms
Ropensci
