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Support for reading and writing CSV-encoded data via Jackson abstractions.

MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap memory. It is a fast, scalable and easy to use embedded Java database.

Functions to parse XML into lazy sequences and lazy trees and emit these as text

Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, a fast friendly file reader and parallel file writer. Offers a natural and flexible syntax, for faster development.

Apache Parquet Avro

Android Preferences DataStore

Starter for using Spring Data repositories exposed over REST using Spring Data REST and Spring MVC

Per-directory local and remote repository metadata.

Codec

High Performance Primitive Collections: data structures (maps, sets, lists, stacks, queues) generated for combinations of object and primitive types to conserve JVM memory and speed up execution.