krakdown alternatives and similar libraries
Based on the "Misc" category.
Alternatively, view krakdown alternatives based on common mentions on social networks and blogs.
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jclasslib
jclasslib bytecode editor is a tool that visualizes all aspects of compiled Java class files and the contained bytecode. -
kotlin-logging
Lightweight Multiplatform logging framework for Kotlin. A convenient and performant logging facade. -
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kotlin-telegram-bot
🤖 A wrapper for the Telegram Bot API written in Kotlin -
kotlinx.atomicfu
The idiomatic way to use atomic operations in Kotlin -
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tinylog
tinylog is a lightweight logging framework for Java, Kotlin, Scala, and Android -
lingua
The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike -
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Kotlift
Kotlift is the first source-to-source language transpiler from Kotlin to Swift -
kotlinx.reflect.lite
Lightweight library allowing to introspect basic stuff about Kotlin symbols -
Humanizer.jvm
Humanizer.jvm meets all your jvm needs for manipulating and displaying strings, enums, dates, times, timespans, numbers and quantities. -
actions-on-google-kotlin
Unofficial Actions on Google SDK for Kotlin and Java -
klutter
A mix of random small libraries for Kotlin, the smallest reside here until big enough for their own repository. -
solr-undertow
Solr / SolrCloud running in high performance server - tiny, fast startup, simple to configure, easy deployment without an application server. -
kassava
This library provides some useful kotlin extension functions for implementing toString(), hashCode() and equals() without all of the boilerplate. -
SimpleDNN
SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks -
units-of-measure
Type-safe dimensional analysis and unit conversion in Kotlin. -
TLSLibrary
Simple TlsLibrary written in Kotlin - Provides DSL for creating TLS connections -
kotlin-futures
A collections of extension functions to make the JVM Future, CompletableFuture, ListenableFuture API more functional and Kotlin like. -
scientist
A kotlin library for refactoring code. Port of GitHub's scientist. -
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kasechange
🐫🐍🍢🅿 Multiplatform Kotlin library to convert strings between various case formats including Camel Case, Snake Case, Pascal Case and Kebab Case -
kjob
A lightweight coroutine based persistent job/cron scheduler written in Kotlin -
PrimeCalendar
PrimeCalendar provides all of the java.util.Calendar functionalities for Persian, Hijri, and ... dates. It is also possible to convert dates to each other. -
kotlin-pluralizer
:sunny: Kotlin extension to pluralize and singularize strings -
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kformula
Mathematical expression engine written in Kotlin, running on JVM. -
kase-format
Multiplatform kotlin string case conversion and detection library.
Appwrite - The Open Source Firebase alternative introduces iOS support
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README
Krakdown
Krakdown is a markdown parser written in native Kotlin (no external dependencies). It is meant to be used either on the server side (running in a JVM), or to be cross-compiled into Javascript and run in a browser.
Project status
The project has a small portion of the common-mark specification covered (mostly around lists and blockquotes).
It is not heavily tested yet, and probably contains a large amount of bugs, and potential performance issues.
Structure
The parser is broken into two parts: a block parser and an inline parser. Both parsers work via chain of responsibility where rules are evaluated in order on the input.
The inline parser consists of a lexer and a parser. The lexer is fairly heavy, as it evaluates tokens based on current context (it performs look-behind).
Roadmap
Commonmark compatibility
Next steps here would involve adding the remaining common mark tests to the src/test/resources/commonmark.testspec
specification file and then performing the necessary fixes in the parsers to get this project to 100% commonmark
compatibility.
Streaming parsing
Once common mark compatibility is reached, the parser will be updated to support stream parsing, i.e. consume data from an input stream and produce a stream of parse nodes. This would, ideally, decrease the memory footprint of the parser, as it would ideally keep at most the necessary memory for processing a single block of text.
Performance
At present, the performance of the parser is not thoroughly measured. A test suite should be built to measure the performance of the parser.
Support for non-standard markdown extensions
Support for tables, todos, footnotes, definition lists, custom block quotes, table of contents, etc.