The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 9 Kotlin Data Science Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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pairAdjacentViolators
A JVM implementation of the Pair Adjacent Violators algorithm for isotonic regression
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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.
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.
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.
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.
Kotlin Data Science related posts
- Plotting Financial Data in Kotlin with Kandy
- Amazon Ion Specification
- How to use jvm libraries on Multiplatform (js related) project
- ggplot2 applies unwanted sampling to my data
- Would appreciate some feedback on my first Rust library - an implementation of the "pair adjacent violators" algorithm for isotonic regression
- Kotlin kernel for Jupyter/IPython
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
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 | 1,064 |
3 | dataframe | 700 |
4 | kandy | 474 |
5 | koma | 270 |
6 | KotlinDiscreteMathToolkit | 182 |
7 | pairAdjacentViolators | 49 |
8 | 180protocol | 28 |
9 | sigbla-app | 16 |
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