# CSV Reader / Writer Choices

**URL:** <https://discourse.julialang.org/t/csv-reader-writer-choices/14218>\
**Category:** Data\
**Created:** [August 28, 2018, 11:02pm UTC](https://discourse.julialang.org/t/csv-reader-writer-choices/14218 "2018-08-28T23:02:32Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![iwelch](https://avatars.discourse-cdn.com/v4/letter/i/8c91f0/32.png) [@iwelch](https://discourse.julialang.org/u/iwelch)\
**Post date:** [August 28, 2018, 11:02pm UTC](https://discourse.julialang.org/t/csv-reader-writer-choices/14218/1 "2018-08-28T23:02:32Z")

</div>

Has someone compared the various packages to read and write csv files (e.g., readtables, DelimitedFiles and CSV)?

---

<div class="post-metadata">

**Author:** ![xiaodai](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/xiaodai/32/15937_2.png) [@xiaodai](https://discourse.julialang.org/u/xiaodai)\
**Post date:** [August 28, 2018, 11:16pm UTC](https://discourse.julialang.org/t/csv-reader-writer-choices/14218/2 "2018-08-28T23:16:35Z")

</div>

> [@Benchmarking ways to write/load DataFrames IndexedTables to disk](https://discourse.julialang.org/t/benchmarking-ways-to-write-load-dataframes-indexedtables-to-disk/8973):
>
> Update 2018-Feb-19: added R feather and Pandas; thanks to @zhangliye for the pandas code For Julia, JLD.jl has the fastest write-solution and I have used it via the ultra-convenient FileIO.jl. However for interop with other packages, the slightly slower Feather.jl is also a good choice, also it may be arguable that you read data more often than you write, so Feather.jl’s superior read-speed will be essential. However, R’s feather is faster than Julia’s. The read and write speed seem to scale …

Similar to what u r asking for. Haven’t updated for a while