dataframe
kotlin-jupyter
dataframe | kotlin-jupyter | |
---|---|---|
3 | 4 | |
712 | 1,067 | |
2.9% | 2.0% | |
9.6 | 8.9 | |
4 days ago | 4 days ago | |
Kotlin | Kotlin | |
Apache License 2.0 | Apache License 2.0 |
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.
dataframe
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Plotting Financial Data in Kotlin with Kandy
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.
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How to use jvm libraries on Multiplatform (js related) project
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
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Kotlin Team AMA #3: Ask Us Anything
Kotlin DataFrame is a library for in-memory data manipulation
kotlin-jupyter
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Plotting Financial Data in Kotlin with Kandy
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.
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Kotlin Notebooks are really useful in our project. Recommend you take a look!
That is true for the Plugin, but you can get the Kotlin Kernel for Jupyter Notebooks separat. https://github.com/Kotlin/kotlin-jupyter
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Kotlin Team AMA #3: Ask Us Anything
Kotlin kernel for IPython/Jupyter
- Kotlin kernel for Jupyter/IPython
What are some alternatives?
kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras
KotlinDiscreteMathToolkit - Set of extensions for Kotlin that provides Discrete math functionalities
spring-fu - Configuration DSLs for Spring Boot
kotlin-statistics - Idiomatic statistical operators for Kotlin
multik - Multidimensional array library for Kotlin
Komputation
KEEP - Kotlin Evolution and Enhancement Process
OptaPlanner - Java Constraint Solver to solve vehicle routing, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
Decompose - Kotlin Multiplatform lifecycle-aware business logic components (aka BLoCs) with routing (navigation) and pluggable UI (Jetpack Compose, SwiftUI, JS React, etc.)
koma - A scientific computing library for Kotlin. https://kyonifer.github.io/koma
kotlin-wrappers - Kotlin wrappers for popular JavaScript libraries