What are your thoughts on data.table vs tidyverse vs tidy syntax with data.table backends (dtplyr, tidytable) in R?

1. tidyr

   1 3 1,409 5.5 R

   Tidy Messy Data

   

   I originally wrote tidytable because dtplyr was missing a lot of functionality my coworkers and I needed, and at the time dtplyr looked like a "forgotten package" (lots of open issues/bugs, very infrequent updates). Hadley Wickham also mentioned at one point [he had no plans for adding tidyr functions)[https://github.com/tidyverse/tidyr/issues/1015#issuecomment-682977139]. He changed his mind on that one - tidyr functions are the ones that I'm in the process of contributing to dtplyr now.

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. tidytable

   2 26 470 7.7 R

   Tidy interface to 'data.table'

   

   However the package site goes over basic usage. And clicking through the individual function documentation should give you a pretty good idea of what's possible!

Suggest a related project