-
Taoensso
- Berlin, Chiang Mai, Johannesburg
-
05:27
- 1h ahead - https://www.taoensso.com
- @ptaoussanis
Sponsors
Lists (3)
Sort Name ascending (A-Z)
Stars
Run compilers interactively from your web browser and interact with the assembly
A barebones WebSocket client and server implementation written in 100% Java.
The Deck: An Open-Source, Cross-Platform, Mobile, Turn by Turn Card Game Engine in Flutter
Run ClojureScript functions on a worklet thread in React Native
Drop-in replacement for clojure.edn that is 6 times faster
Fireworks is a themeable tapping library for Clojure, ClojureScript, and Babashka.
Rich text console printing for Clojure, ClojureScript, and Babashka.
pitch-io / uix
Forked from roman01la/uixIdiomatic ClojureScript interface to modern React.js
Port javascript lz-string in JAVA version. Done some of language optimization. And a rhino side for Testing.
Brotli4j provides Brotli compression and decompression for Java.
Network-wide ads & trackers blocking DNS server
Cardano Improvement Proposals (CIPs)
OpenTelemetry JavaScript Client
A libre lightweight streaming front-end for Android.
Compose Multiplatform, a modern UI framework for Kotlin that makes building performant and beautiful user interfaces easy and enjoyable.
Replicate your Key Value Store across your network, with consistency, persistance and performance.
This is a repackaging of a version of the snowball-stemmer found at http://snowball.tartarus.org/ so that it's available on Maven Central.
fastutil extends the Java™ Collections Framework by providing type-specific maps, sets, lists and queues.
MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
Eclipse Collections is a collections framework for Java with optimized data structures and a rich, functional and fluent API.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
💫 Industrial-strength Natural Language Processing (NLP) in Python