actions-on-google-kotlin VS krangl

Compare actions-on-google-kotlin vs krangl and see what are their differences.

krangl

krangl is a {K}otlin DSL for data w{rangl}ing (by holgerbrandl)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
actions-on-google-kotlin krangl
- 1
119 559
-0.8% -
0.0 6.9
4 months ago about 1 year ago
Kotlin Kotlin
Apache License 2.0 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.

actions-on-google-kotlin

Posts with mentions or reviews of actions-on-google-kotlin. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning actions-on-google-kotlin yet.
Tracking mentions began in Dec 2020.

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

What are some alternatives?

When comparing actions-on-google-kotlin and krangl you can also consider the following projects:

KtUnits - Simple unit conversion library for Kotlin

Kotlift - Kotlift is the first source-to-source language transpiler from Kotlin to Swift

progress - Progress for Kotlin

kassava - This library provides some useful kotlin extension functions for implementing toString(), hashCode() and equals() without all of the boilerplate.

kotlin-preconditions - Precondition error checking for Kotlin

kotlin-logging - Lightweight Multiplatform logging framework for Kotlin. A convenient and performant logging facade.

CakeParse - Simple parser combinator library for Kotlin

Strukt - C-style structs on the JVM!

dsl-logger - Logging DSL implementation in Kotlin

kotlinx-datetime - KotlinX multiplatform date/time library

kxdate - Kotlin extensions for Java 8 java.time API

asmble - Compile WebAssembly to JVM and other WASM tools