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Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

Guice (pronounced 'juice') is a lightweight dependency injection framework for Java 11 and above, brought to you by Google.

greenDAO is a light & fast ORM solution for Android that maps objects to SQLite databases.

VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform.

  • hybrid
  • android-sdk
  • ios-sdk
  • h5

Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.

configuration library for JVM languages using HOCON files

  • supported
  • hocon
  • configuration-library

A blazingly fast multi-language serialization framework for idiomatic domain objects, schema IDL, and cross-language data exchange.

  • cross-language
  • fast
  • jit
  • multiple-language

Model-rocketry aerodynamics and trajectory simulation software

  • aerospace
  • flight-simulator
  • java
  • modeling

This light-weight library provides images with letter/text like the Gmail app. It extends the Drawable class thus can be used with existing/custom/network ImageView classes. Also included is a fluent interface for creating drawables and a customizable ColorGenerator.

🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.

Provides support to increase developer productivity in Java when using MongoDB. Uses familiar Spring concepts such as a template classes for core API usage and lightweight repository style data access.