kotlin-logging
krangl
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| kotlin-logging | krangl | |
|---|---|---|
| 6 | 1 | |
| 2,475 | 559 | |
| 1.6% | - | |
| 8.4 | 6.9 | |
| 4 days ago | about 1 year ago | |
| Kotlin | Kotlin | |
| GNU General Public License v3.0 or later | MIT License |
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.
kotlin-logging
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SLF4K VS kotlin-logging - a user suggested alternative
2 projects | 18 Mar 2024
kotlin-logging is a Multiplatform logger for kotlin, whereas SLFK4 is a lightweight wrapper around SLF4J, so it only works on JVM. but if you only need JVM support, SLF4K is very good
- Why logging is not working
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From Java to Kotlin. There and back again
We chose kotlin-logging. It is a really convenient library and you can use it like this:
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SLF4K - Kotlin extensions for SLF4J
The repo has a ticket open and someone benchmarked the throughput to be +16% inlining the methods or +37% if you inline the classes too. https://github.com/MicroUtils/kotlin-logging/issues/34
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How to provide one's own class to a typed instance?
Why that over the much more popular kotlin-logging?
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.
[1] https://github.com/holgerbrandl/krangl
What are some alternatives?
log4k - Lightweight logging library for Kotlin/Multiplatform. Supports Android, iOS, JavaScript and plain JVM environments.
Kotlift - Kotlift is the first source-to-source language transpiler from Kotlin to Swift
mockk - mocking library for Kotlin
kassava - This library provides some useful kotlin extension functions for implementing toString(), hashCode() and equals() without all of the boilerplate.
tinylog - tinylog is a lightweight logging framework for Java, Kotlin, Scala, and Android
Strukt - C-style structs on the JVM!
Humanizer.jvm
kotlinx-datetime - KotlinX multiplatform date/time library
jclasslib - jclasslib bytecode editor is a tool that visualizes all aspects of compiled Java class files and the contained bytecode.
asmble - Compile WebAssembly to JVM and other WASM tools
aleksa - Aleksa is a small framework for writing Alexa Skills in Kotlin
quasar