rover VS krangl

Compare rover vs krangl and see what are their differences.

rover

Simple, powerful data frames for Ruby (by ankane)

krangl

krangl is a {K}otlin DSL for data w{rangl}ing (by holgerbrandl)
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rover krangl
4 1
332 559
- -
4.3 6.9
4 months ago over 1 year ago
Ruby Kotlin
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

rover

Posts with mentions or reviews of rover. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-07.

krangl

Posts with mentions or reviews of krangl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-07.
  • 2,900 page Manual about Pandas [pdf]
    3 projects | news.ycombinator.com | 7 Aug 2021
    > And what's the alternative, Excel?

    Take this with a grain of salt from someone who needs data manipulation occasionally every now and then (as opposed to being a full time number-cruncher, data-scientist, statistician etc.), using krangl[1] for Kotlin has been a great experience.

    I was drawn to this library because I use Kotlin in my dayjob for backend development, but I love how well Kotlin's succinct syntax & features like extension functions lends itself to data transformation & ETL kind of use cases.

    Also it doesn't hurt that JVM has a plethora of libraries available for things like DB access, plotting, etc.

    I am sure that Pandas has many features I am unaware of, and for a lot of people the high-ish startup time can be a deterrant, but for most of my day to day data munging the combination of jbang, krangl & kravis has been a pretty good fit.

    [1] https://github.com/holgerbrandl/krangl