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Json-values allows Java developers to harness the power of persistent data structures when working with JSON data, simplifying complex data manipulation. It provides a purely functional approach to JSON
Support for Sound Transit realtime data streams.
vertx-values enhances JSON handling in Vert.x by providing codecs for the immutable JSON objects from the json-values library. It eliminates the need for copying JSON data during transmission over the Event Bus, reducing garbage collection overhead and boosting performance.
Libraries and tools for King County Metro transit data.
Vertx-effect brings functional effects to the Vert.x ecosystem and is inspired by Erlang’s actor model. Its manifesto emphasizes principles such as maximizing the use of verticles for scalability, maintaining single responsibility for each verticle, and prioritizing simplicity to enhance reliability and ease debugging.
Vector-field consistency model for HBase fine-grained inter-DC replication with Quality-of-Data at CloudCom
Simple prototype for creating derived graphs from social network data using Deriggy and Fluo
Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3
Implementation of Partitioning Around Medoids (PAM) in H2O-3
Vertx-MongoDB-Effect enables interaction with MongoDB in a purely functional and reactive style, seamlessly integrating with Vertx-effect. This library requires familiarity with Vertx-effect, as both frameworks share a foundational reliance on immutability and persistent data structures provided by json-values.