CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster than Python and R
EDIT: Be sure to read the reply from the author of the package.<p>I do think Julia has promise, but it is still early days.<p>In the last 2 months there have been problems with:<p>* Throwing rows away: <a href="https:&#x2F;&#x2F;github.com&#x2F;JuliaData&#x2F;CSV.jl&#x2F;issues&#x2F;720" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;JuliaData&#x2F;CSV.jl&#x2F;issues&#x2F;720</a><p>* Incorrect float parsing: <a href="https:&#x2F;&#x2F;github.com&#x2F;JuliaData&#x2F;CSV.jl&#x2F;issues&#x2F;714" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;JuliaData&#x2F;CSV.jl&#x2F;issues&#x2F;714</a><p>At there are unfixed issues to do with parsing large files (  <a href="https:&#x2F;&#x2F;github.com&#x2F;JuliaData&#x2F;CSV.jl&#x2F;issues&#x2F;749" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;JuliaData&#x2F;CSV.jl&#x2F;issues&#x2F;749</a> , <a href="https:&#x2F;&#x2F;github.com&#x2F;JuliaData&#x2F;CSV.jl&#x2F;issues&#x2F;734" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;JuliaData&#x2F;CSV.jl&#x2F;issues&#x2F;734</a> ).<p>While Julia has become much more stable than it used to be, it is still in many places an evolving system and you (in my limited experience) should be prepared to hit issues.