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krangl
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2,900 page Manual about Pandas [pdf]
> 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.
quasar
We haven't tracked posts mentioning quasar yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Kotlift - Kotlift is the first source-to-source language transpiler from Kotlin to Swift
Humanizer.jvm
kassava - This library provides some useful kotlin extension functions for implementing toString(), hashCode() and equals() without all of the boilerplate.
kotlinx.atomicfu - The idiomatic way to use atomic operations in Kotlin
kotlin-logging - Lightweight Multiplatform logging framework for Kotlin. A convenient and performant logging facade.
asmble - Compile WebAssembly to JVM and other WASM tools
Strukt - C-style structs on the JVM!
solr-undertow - Solr / SolrCloud running in high performance server - tiny, fast startup, simple to configure, easy deployment without an application server.
kotlinx-datetime - KotlinX multiplatform date/time library
kxdate - Kotlin extensions for Java 8 java.time API