# Julia vs R vs Python

**URL:** <https://discourse.julialang.org/t/julia-vs-r-vs-python/4997>\
**Category:** Community\
**Tags:** performance\
**Created:** [July 21, 2017, 11:00am UTC](https://discourse.julialang.org/t/julia-vs-r-vs-python/4997 "2017-07-21T11:00:36Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![Tamas\_Papp](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/tamas_papp/32/25949_2.png) [@Tamas\_Papp](https://discourse.julialang.org/u/Tamas_Papp)\
**Post date:** [July 21, 2017, 1:57pm UTC](https://discourse.julialang.org/t/julia-vs-r-vs-python/4997/5 "2017-07-21T13:57:51Z")

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> [@r3tex](#):
>
> ridiculously slow in comparison, and this isn’t even a “showcase” algorithm for Julia

To be fair: most R users who dipped their toes into some basic programming (as opposed to using canned algorithms) know this. R was never sold on its speed.

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