Kotlin and Java libraries for data analysis

Kotlin DataFrame

• Data collection

• Data cleaning and processing

• Operations for creating, sorting, and cleaning data frames, feature engineering, and more

• Processing of structured data

• Support for CSV, JSON, and other input formats

• Reading from SQL databases

• Connecting with different APIs to access data and increase type safety

Kandy

• Data exploration and visualization

• Powerful, readable, and typesafe DSL for plotting charts of various types

• Open-source library written in Kotlin for the JVM

• Support for Kotlin Notebook, Datalore, and Jupyter Notebook

• Seamless integration with Kotlin DataFrame

KotlinDL

• Model building

• Deep learning API written in Kotlin and inspired by Keras

• Training deep learning models from scratch or importing existing Keras and ONNX models for inference

• Transferring learning for tailoring existing pre-trained models to your tasks

• Support for the Android platform

Multik

• Data cleaning and processing

• Model building

• Mathematical operations over multidimensional arrays (linear algebra, statistics, arithmetics, and other calculations)

• Creating, copying, indexing, slicing, and other array operations

• Kotlin-idiomatic library with benefits such as type and dimension safety and swappable computational engines, running on the JVM or as native code

Kotlin for Apache Spark

• Data collection

• Data cleaning and processing

• Data exploration and visualization

• Model building

• Layer of compatibility between Apache Spark and Kotlin

• Apache Spark data transformation operations in Kotlin-idiomatic code

• Simple usage of Kotlin features, such as data classes and lambda expressions, in curly braces or method reference

Lets-Plot

• Data exploration and visualization

• Plotting statistical data written in Kotlin

• Support for Kotlin Notebook, Datalore, and Jupyter with Kotlin Kernel

• Compatible with the JVM, JS, and Python

• Embedding charts in Compose Multiplatform applications

KMath

• Data cleaning and processing

• Data exploration and visualization

• Model building

• Modular library to work with mathematical abstractions in Kotlin Multiplatform (JVM, JS, Native, and Wasm)

• APIs for algebraic structures, mathematical expressions, histograms, and streaming operations

• Interchangeable wrappers over existing Java and Kotlin libraries, including ND4J, Apache Commons Math, and Multik

• Inspired by Python's NumPy but with other additional features like type safety

kravis

• Data exploration and visualization

• Visualization of tabular data

• Inspired by R's ggplot

• Support for Jupyter with Kotlin Kernel

Tablesaw

• Data collection

• Data cleaning and processing

• Data exploration and visualization

• Tools for loading, cleaning, transforming, filtering, and summarizing data

• Inspired by Plot.ly

CoreNLP

• Data cleaning and processing

• Natural language processing toolkit

• Linguistic annotations for text, such as sentiment and quote attributions

• Support for eight languages

Smile

• Data cleaning and processing

• Data exploration and visualization

• Model building

• Ready-made algorithms for machine learning and natural language processing

• Linear algebra, graph, interpolation, and visualization tools

• Provides functional Kotlin API, Scala API, Clojure API, and more

Smile-NLP-kt

• Data cleaning and processing

• Kotlin rewrite of the Scala implicits for the natural language processing part of Smile

• Operations in the format of Kotlin extension functions and interfaces

• Sentence breaking, stemming, bag of words, and other tasks

ND4J

• Data cleaning and processing

• Model building

• Matrix mathematics library for the JVM

• Over 500 mathematical, linear algebra, and deep learning operations

Apache Commons Math

• Data cleaning and processing

• Model building

• Mathematics and statistics operations for Java

• Correlations, distributions, linear algebra, geometry, and other operations

• Machine learning models

NM Dev

• Data cleaning and processing

• Model building

• Java math library of numerical algorithms

• Object-oriented numerical methods

• Linear algebra, optimization, statistics, calculus, and more operations

Apache OpenNLP

• Data cleaning and processing

• Model building

• Machine-learning-based toolkit for the processing of natural language text

• Tokenization, sentence segmentation, part-of-speech tagging, and other tasks

• Built-in tools for data modeling and model validation

Charts

• Data exploration and visualization

• JavaFX library for scientific charts

• Complex charts, such as logarithmic, heatmap, and force-directed graph

DeepLearning4J

• Model building

• Deep learning library for Java

• Importing and retraining models (Pytorch, Tensorflow, Keras)

• Deploying in JVM microservice environments, mobile devices, IoT, and Apache Spark

Timefold

• Model building

• Solver utility for optimization planning problems

• Compatible with object-oriented and functional programming