Sharing some benchmarks sketched out of curiosity for the Palmer penguins dataset.
Just copy-pasted the original snippets available at https://blog.tidy-intelligence.com/posts/dplyr-vs-tidierdata/
This is a minimal test. Feel free to fork and improve.
Run test.R and test.jl to obtain results.
Julia required packages are BenchmarkTools.jl, TidierData.jl, PalmerPenguins.jl (run DataFrame(PalmerPenguins.load() to download the data).
R required packages are dplyr and palmerpenguins.
Specs: 11th Gen Intel® Core™ i7-11800H @ 2.30GHz × 16 / 16GB RAM.
>summary(run_times) # 100 samples
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.01148 0.01184 0.01200 0.01459 0.01305 0.22571
BenchmarkTools.Trial: 10 samples with 1 evaluation.
Range (min … max): 512.539 ms … 571.741 ms ┊ GC (min … max): 1.55% … 2.76%
Time (median): 516.707 ms ┊ GC (median): 1.58%
Time (mean ± σ): 522.527 ms ± 17.773 ms ┊ GC (mean ± σ): 2.00% ± 0.70%