Group: DataKernel

Sort by:Popular▼

✓Popular✓Newest

Utils for test purposes, custom DataKernelRunner and custom JUnit rules.

DataKernel : Boot: JMX API

Net module handles low-level asynchronous socket I/O (TCP/UDP). Package provides a tools for TCP/UDP servers creation which could be launched on the eventloop.

Efficient non-blocking network and file I/O, for building Node.js-like client/server applications with high performance requirements. It is similar to Event Loop in Node.js.

High-performance asynchronous HTTP clients and servers collection. Package contains a bunch of different built-in servlets for request dispatching, loading of a static content, etc.

Package provides tools for building efficient, scalable remote file servers. It utilizes CSP for fast and reliable file transfer.

Fast and memory-efficient byte buffer, an optimized version of Java's ByteBuffer class. Useful for fast low-level I/O operations like working with files or transferring data over the internet.

Module containing various general utilities for DataKernel project.

Composable asynchronous/reactive streams with powerful data processing capabilities. They are useful for transferring big volumes of lightweight values or objects.

Tools for encoding/decoding of primitives and objects.

DataKernel has an extremely lightweight DI with ground-breaking design principles. It supports nested scopes, singletons, object factories, modules and plugins which allow to transform graph of dependencies at startup time without any ...

Datakernel Launchers: Common

Dynamic class and method bytecode generator on top of ObjectWeb ASM. An expression-based fluent API abstracts the complexity of direct bytecode manipulation.

Launchers : Common

High-performance and fault-tolerant remote procedure call module for building distributed applications. Provides a high-performance asynchronous binary RPC streaming protocol.

Extremely fast and space-efficient serializers. It was crafted using bytecode engineering.

Efficient non-blocking network and file I/O, for building Node.js-like client/server applications with high performance requirements.

Communicating sequential process via channels, similar to Golang's channels. A channel could be imagine as a pipe which connects some processes.

Composable asynchronous/reactive streams with powerful data processing capabilities.

An intelligent way of launching complex applications and services according to their dependencies