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169–192 of 1,211 · Most stars

Picocli is a modern framework for building powerful, user-friendly, GraalVM-enabled command line apps with ease. It supports colors, autocompletion, subcommands, and more. In 1 source file so apps can include as source & avoid adding a dependency. Written in Java, usable from Groovy, Kotlin, Scala, etc.

Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docker or Kubernetes.

  • openclaw
  • openclaw-skills
  • skill
  • iflytek-astron

A Simple android remote administration tool using sockets. It uses java on the client side and python on the server side

  • android
  • backdoor
  • python
  • reverse-shell

SuperSonic is the next-generation AI+BI platform that unifies Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms.

Your go-to microservice framework for any situation, from the creator of Netty et al. You can build any type of microservice leveraging your favorite technologies, including gRPC, Thrift, Kotlin, Retrofit, Reactive Streams, Spring Boot and Dropwizard.

📸 A well documented, high-level Android interface that makes capturing pictures and videos easy, addressing all of the common issues and needs. Real-time filters, gestures, watermarks, frame processing, RAW, output of any size.

Translated🗡️ CloudReader (云阅, "Cloud Reading"): an Android client based on the NetEase Cloud Music UI, using the WanAndroid API, developed with a Retrofit2 + RxJava2 + Room + MVVM-databinding architecture

  • android
  • mvvm-databing
  • netease-cloud-music
  • google-material

MockServer is an HTTP(S) mock server and proxy for testing that lets you mock APIs, inspect and modify live traffic, and inject failures. It supports HTTP/1.1, HTTP/2, gRPC, WebSockets, TCP and more on a single port, with additional support for HTTP/3, message brokers, and AI/LLM APIs.

  • mock-server
  • proxy
  • java-client
  • javascript-client

Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times better than GPT-4. Built with Adaptive Graph-Guided Retrieval and Persistent Debug Memory. Model available Q1 2026 via Kodezi OS.