The LinuxForHealth FHIR® Server and related projects
- fhir
- liberty
- open-liberty
- jax-rs
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The LinuxForHealth FHIR® Server and related projects
A lightweight, modular Java application framework for web and CLI development, designed for AI integration and plugin-based architecture. Enabling developers to create robust solutions with ease for building efficient and scalable applications.
Java Object-Graph Mapping Library for Neo4j
An HTTP bridge for Apache Kafka®
Java type safe statically compiled mustache
🔧 Machines, ICs, PLCs, and more!
Provides tracing abstractions over tracers and tracing system reporters.
Community plugin for using Google AdMob
⚗️ Lightweight HTTP extensions for Java & Kotlin
A Light-weight Job Scheduling Framework
The official gradle plugin for the FIRST Robotics Competition
Mongojack maps Java objects to MongoDB documents. Based on the Jackson JSON mapper, Mongojack allows you to easily handle your mongo objects as POJOs (insert, search by id or by any other field, update).
GeoJson POJOs for Jackson - serialize and deserialize objects with ease
Admin interface for MongoDB built using Django and Bootstrap. Features a JSON editor written in JavaScript that supports nested JSON objects.
This is an engine that converts data of one structure to another, based on a configuration file which describes how. There is an accompanying syntax to make writing mappings easier and more robust.
Elegance, high performance and robustness all in one java bean mapper
A libGDX cross-platform API for InApp purchasing.
A Private Terraform Registry
A customizable style validator to make sure your OpenAPI spec follows your organization's standards.
A calm, tvOS-inspired home screen for Android TV and Google TV. No ads, no tracking.
A Java library that implements a ByteChannel interface over SSLEngine, enabling easy-to-use (socket-like) TLS for Java applications.
The repository host gives no description.
The repository host gives no description.
Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.