krangl | krangl is a { K otlin DSL for data w { rangl | SQL Database library

by holgerbrandl Kotlin Version: 0.18.4 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | krangl Summary

krangl is a Kotlin library typically used in Database, SQL Database, Pandas applications. krangl has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

krangl is a {K}otlin library for data w{rangl}ing. By implementing a grammar of data manipulation using a modern functional-style API, it allows to filter, transform, aggregate and reshape tabular data. krangl is heavily inspired by the amazing dplyr for R. krangl is written in Kotlin, excels in Kotlin, but emphasizes as well on good java-interop. It is mimicking the API of dplyr, while carefully adding more typed constructs where possible. If you're not sure about how to proceed, check out krangl in 10 minutes section in the krangl user guide.

Support

Quality

Security

License

Reuse

Support

krangl has a low active ecosystem.

It has 559 star(s) with 54 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 29 open issues and 94 have been closed. On average issues are closed in 295 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of krangl is 0.18.4

Quality

krangl has no bugs reported.

Security

krangl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

krangl is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

krangl releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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krangl Key Features

No Key Features are available at this moment for krangl.

krangl Examples and Code Snippets

No Code Snippets are available at this moment for krangl.

Community Discussions

Trending Discussions on krangl

Krangl: Count number of elements in column that are contained in another list

Adding Krangl SDK to IntelliJ Idea

QUESTION

Krangl: Count number of elements in column that are contained in another list

Asked 2020-Sep-12 at 06:37

I'm using Krangl library because I want to do simple exploratory data analysis. I want to count number of samples that are from some other array. I have following code

...

ANSWER

Answered 2020-Sep-12 at 06:37

This seems to work:

Source https://stackoverflow.com/questions/63844285

QUESTION

Adding Krangl SDK to IntelliJ Idea

Asked 2019-Mar-21 at 17:49

I am new to Kotlin and IntelliJ Idea IDE.

I want to experiment with Krangl. But how do I add that SDK to my IntelliJ Idea IDE. In C# there is Nuget and on Mac cocoapods. I know this is a very noob question, but I cannot find a solution that is apparent to me. I am C#/.NET/MS developer looking to get my feet wet in this new world. There is no Gradle in the IntelliJ Idea IDE as far as I can see. Just Maven and Ant.

...

ANSWER

Answered 2019-Mar-18 at 15:24

For sure there is Gradle in IntelliJ: https://www.jetbrains.com/help/idea/getting-started-with-gradle.html

So, you can either use Gradle or Maven. Or you could also add the jar as a dependency to your project, but I won't recommend this.

Source https://stackoverflow.com/questions/55224573

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install krangl

To get started simply add it as a dependency to your build.gradle:. Declaring the repository is purely optional as it is the default already. You can also use JitPack with Maven or Gradle to build the latest snapshot as a dependency in your project. To build and install it into your local maven cache, simply clone the repo and run.

Support

krangl is not yet mature, full of bugs and its API is in constant flux. Nevertheless, feel welcome to submit pull-requests or tickets, or simply get in touch via gitter (see button on top). Another great introduction into data-science with kotlin was presented at 2019's KotlinConf by Roman Belov from JetBrains.

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