Benchmarking for loops vs apply and others

• db-benchmark

  91 319 0.0 R

  reproducible benchmark of database-like ops

  

This is a much more comprehensive set of benchmarks: https://h2oai.github.io/db-benchmark/

• collapse

  2 599 9.6 C

  Advanced and Fast Data Transformation in R (by SebKrantz)

If you are looking for performance I would recommend to check the collapse package. The following line "collapse" = collapse::fsum(df_datatable$x, g=df_datatable$g) is around 2x faster than base::rowsum, and the dplyr style syntax doesn't add that much of an overhead "collapse dplyr" = df_datatable |> fgroup_by(g) |> fsum(x)

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project