kotlindl VS dataframe

Compare kotlindl vs dataframe and see what are their differences.

kotlindl

High-level Deep Learning Framework written in Kotlin and inspired by Keras (by Kotlin)
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kotlindl dataframe
16 3
1,399 699
1.5% 3.4%
5.7 9.7
7 months ago 7 days ago
Kotlin Kotlin
Apache License 2.0 Apache License 2.0
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.

kotlindl

Posts with mentions or reviews of kotlindl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-11.

dataframe

Posts with mentions or reviews of dataframe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-09.
  • Plotting Financial Data in Kotlin with Kandy
    3 projects | dev.to | 9 Apr 2024
    For working with datasets (loading and processing), I use Kotlin DataFrame. It is a library designed for working with structured in-memory data, such as tabular or JSON. It offers convenient storage, manipulation, and data analysis with a convenient, typesafe, readable API. With features for data initialization and operations like filtering, sorting, and integration, Kotlin DataFrame is a powerful tool for data analytics. I also use the Kandy - Kotlin plotting library, designed specifically for full compatibility with Kotlin DataFrame. It brings many types of plots (including statistical) with rich customization options via a powerful Kotlin DSL. The best way to run all of this is Kotlin Notebook. It works out of the box, has native rendering of Kandy plots and DataFrame tables, and has IntelliJ IDEA support. It can also be run in Jupyter notebooks with a Kotlin kernel and on Datalore.
  • How to use jvm libraries on Multiplatform (js related) project
    1 project | /r/Kotlin | 28 Aug 2022
    kotlin-dataframe only supports JVM, it is not (yet) a multiplatform library and cannot be used in Kotlin/JS projects. https://github.com/Kotlin/dataframe/issues/24
  • Kotlin Team AMA #3: Ask Us Anything
    52 projects | /r/Kotlin | 27 May 2021
    Kotlin DataFrame is a library for in-memory data manipulation

What are some alternatives?

When comparing kotlindl and dataframe you can also consider the following projects:

KorGE - KorGE Game Engine. Multiplatform Kotlin Game Engine

multik - Multidimensional array library for Kotlin

htmx - </> htmx - high power tools for HTML

spring-fu - Configuration DSLs for Spring Boot

Decompose - Kotlin Multiplatform lifecycle-aware business logic components (aka BLoCs) with routing (navigation) and pluggable UI (Jetpack Compose, SwiftUI, JS React, etc.)

tensorflow-keras-scala - Scala-based Keras API for the Java bindings to TensorFlow. Mirror of https://codeberg.org/sciss/tensorflow-keras-scala

swift-evolution - This maintains proposals for changes and user-visible enhancements to the Swift Programming Language.

kotlin-wrappers - Kotlin wrappers for popular JavaScript libraries

KEEP - Kotlin Evolution and Enhancement Process

kotlinx-datetime - KotlinX multiplatform date/time library