# CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster than Python and R

**URL:** <https://discourse.julialang.org/t/csv-reader-benchmarks-julia-reads-csvs-10-20x-faster-than-python-and-r/41974>\
**Category:** General Usage\
**Tags:** announcement\
**Created:** [June 24, 2020, 12:12pm UTC](https://discourse.julialang.org/t/csv-reader-benchmarks-julia-reads-csvs-10-20x-faster-than-python-and-r/41974 "2020-06-24T12:12:07Z")\
**Posts on this page:** 1\
**Showing post:** 13

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**Author:** ![Juan](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/juan/32/7657_2.png) [@Juan](https://discourse.julialang.org/u/Juan)\
**Post date:** [June 24, 2020, 6:18pm UTC](https://discourse.julialang.org/t/csv-reader-benchmarks-julia-reads-csvs-10-20x-faster-than-python-and-r/41974/13 "2020-06-24T18:18:34Z")

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Most benchmarks I’ve seen before showed that data.table was much faster.

> [@\[ANN\] Fread.jl - read CSVs faster with the help of R's {data.table}](https://discourse.julialang.org/t/ann-fread-jl-read-csvs-faster-with-the-help-of-rs-data-table/29681/2):
>
> One more benchmark [image]

Has the situations changed that much? Or they have just used different tests?

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