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Top 9 Kotlin Data Science Projects
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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All you need to do is install the Kotlin kernel by running the command pip install kotlin-jupyter-kernel. Then, choose Kotlin as the kernel in your Jupyter Kernel.
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Kotlin DataFrame v0.14 comes with improvements for reading Apache Arrow format, especially loading a DataFrame from any ArrowReader. This improvement can be used to easily load results from analytical databases (such as DuckDB, ClickHouse) directly into Kotlin DataFrame.
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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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pairAdjacentViolators
A JVM implementation of the Pair Adjacent Violators algorithm for isotonic regression
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sigbla-app
Sigbla is a framework for working with data in tables, using the Kotlin programming language. It supports various data types, reactive programming and events, user input, charts, and more.
Kotlin Data Science discussion
Kotlin Data Science related posts
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How to Use Kotlin Notebook for Free
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Kotlin for Data Analysis
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Plotting Financial Data in Kotlin with Kandy
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Amazon Ion Specification
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How to use jvm libraries on Multiplatform (js related) project
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ggplot2 applies unwanted sampling to my data
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Would appreciate some feedback on my first Rust library - an implementation of the "pair adjacent violators" algorithm for isotonic regression
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Index
What are some of the best open-source Data Science projects in Kotlin? This list will help you:
Project | Stars | |
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1 | mlreef | 1,442 |
2 | kotlin-jupyter | 1,123 |
3 | dataframe | 849 |
4 | kandy | 612 |
5 | koma | 270 |
6 | KotlinDiscreteMathToolkit | 183 |
7 | pairAdjacentViolators | 49 |
8 | 180protocol | 29 |
9 | sigbla-app | 24 |