SimpleDNN VS krangl

Compare SimpleDNN vs krangl and see what are their differences.

SimpleDNN

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks (by KotlinNLP)

krangl

krangl is a {K}otlin DSL for data w{rangl}ing (by holgerbrandl)
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SimpleDNN krangl
- 1
98 559
- -
0.0 6.9
almost 4 years ago over 1 year ago
Kotlin Kotlin
Mozilla Public 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.

SimpleDNN

Posts with mentions or reviews of SimpleDNN. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning SimpleDNN 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 SimpleDNN and krangl you can also consider the following projects:

kasm - Assembler library for Kotlin

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

kotlin-telegram-bot - 🤖 A wrapper for the Telegram Bot API written in Kotlin

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

khronos - An intuitive Date extensions in Kotlin.

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

kotlinx.atomicfu - The idiomatic way to use atomic operations in Kotlin

Strukt - C-style structs on the JVM!

kotlinx-datetime - KotlinX multiplatform date/time library

sekret - Kotlin compiler plugin to hide secret data

asmble - Compile WebAssembly to JVM and other WASM tools