Showing 4 open source projects for "format"

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  • 1
    GitHub Workflows Kt

    GitHub Workflows Kt

    Authoring GitHub Actions workflows in Kotlin

    GitHub-workflows-kt is a tool for creating GitHub Actions workflows in a type-safe script, helping you to build robust workflows for your GitHub projects without mistakes, with pleasure, in Kotlin. We're often surrounded by YAML configuration. It's a powerful format that provides a simple syntax for defining hierarchical data, but it is sometimes used (abused?) to configure complicated scenarios which lead to complicated files that are difficult to write and maintain. Who among us hasn't accidentally used the wrong indentation, missed a possibility to extract a reusable piece of code, or been confused by ambiguous types? ...
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  • 2
    Kotlin Dataframe

    Kotlin Dataframe

    Structured data processing in Kotlin

    ...The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data wrangling which is the process of transforming and mapping data from one "raw" data form into another format that is more appropriate for analytics and visualization. The goal of data wrangling is to assure quality and useful data.
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  • 3
    Snippetory

    Snippetory

    Java templating solution with passive templates.

    Snippetory is a platform for java developers dealing with any text generation. The abstraction layer helps to keep the issues of the 'view' in the view, while all logic is implemented in java. Editing, debugging and testing, all with the tools one is already used to. The separation of template keeps the template simple, the logic compact, and easy to navigate, and offers completely new re-usage scenarios. Sourceforge code hosting is abandoned. Primary site is now...
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  • 4
    krangl

    krangl

    krangl is a {K}otlin DSL for data w{rangl}ing

    krangl is a {K}otlin library for data w{rangl}ing. Implementing a grammar of data manipulation using a modern functional-style API, allows filtering, transforming, aggregating, and reshaping 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.
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