Graal
/ɡreɪl/
noun … “Optimizing compiler for the JVM ecosystem.”
Graal is a high-performance just-in-time (JIT) compiler and runtime component that targets the Java Virtual Machine. It replaces or supplements the traditional HotSpot JIT compiler to provide advanced optimizations, improved code generation, and support for dynamic languages on the JVM. By performing aggressive inlining, partial evaluation, and runtime profiling, Graal enhances execution speed and reduces memory overhead for both Java and polyglot workloads.
Akka
/ˈækə/
noun … “Toolkit for building concurrent, distributed, and resilient systems.”
React.js
/riˈækt/
noun … “building user interfaces one component at a time.”
React.js is a JavaScript library for building dynamic, interactive user interfaces, primarily for web applications. Developed by Facebook, React emphasizes a component-based architecture where UIs are broken down into reusable, self-contained pieces. Each component manages its own state and renders efficiently when data changes, using a virtual representation of the DOM to minimize direct manipulations and improve performance.
Key principles of React.js include:
Flux
/flʌks/
noun … “flow that carries change.”
Socket.IO
/ˈsɒkɪt aɪ oʊ/
noun … “a library that enables real-time, bidirectional communication between clients and servers.”
Express.js
/ɪkˈsprɛs dʒeɪ ɛs/
noun … “a minimal and flexible web framework for Node.js that simplifies server-side development.”
Express.js is a lightweight, unopinionated framework for Node.js that provides a robust set of features for building web applications, APIs, and server-side logic. It abstracts much of the repetitive boilerplate associated with HTTP server handling, routing, middleware integration, and request/response management, allowing developers to focus on application-specific functionality.
Node.js
/noʊd dʒeɪ ɛs/
noun … “a runtime environment that executes JavaScript on the server side.”
ONNX Runtime
/ˌoʊ.ɛnˈɛks ˈrʌnˌtaɪm/
noun … “a high-performance engine for executing machine learning models in the ONNX format.”
ONNX
/ˌoʊ.ɛnˈɛks/
noun … “an open format for representing and interoperating machine learning models.”