Awesome GitHub RepositoriesAPI Request Execution from CLI

Genkit is an open-source framework for building AI-powered applications. It provides a unified interface for connecting to hundreds of generative AI models from multiple providers, enabling text, image, audio, and video generation through a single API. The framework structures multi-step AI interactions—including chat, retrieval-augmented generation, tool use, and agentic workflows—as composable, traceable flows with built-in streaming and state management. The framework distinguishes itself through a comprehensive developer toolkit that includes a command-line interface and a local developer

LXD is a unified platform for managing both system containers and virtual machines through a single REST API and command-line interface. It provides a programmatic HTTP interface for controlling the full lifecycle of instances, enabling automation and integration with external tools. The system runs unprivileged containers with per-instance UID/GID mappings, seccomp filters, and AppArmor profiles for kernel-level isolation, while supporting multiple storage backends including directory, Btrfs, LVM, ZFS, Ceph, LINSTOR, and TrueNAS through a unified driver interface. The platform distinguishes

ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

Evans este un client gRPC și un explorator API conceput pentru testarea, depanarea și automatizarea apelurilor de procedură la distanță (RPC). Funcționează ca un client interactiv și un utilitar de linie de comandă stateless pentru executarea metodelor gRPC și inspectarea suprafețelor API ale serverelor la distanță. Instrumentul oferă suport specializat pentru protocolul gRPC-Web pentru a facilita comunicarea cu implementările bazate pe web. Permite descoperirea serviciilor și a structurilor de mesaje prin server reflection sau fișiere de definiție și suportă gestionarea comunicării unary, client-side, server-side și bidirecționale de streaming. Proiectul acoperă gestionarea cererilor prin headere de metadate personalizate și manipularea tipurilor de câmpuri complexe, cum ar fi tablouri, enums și bytes codificate în base64. Utilizează reprezentări bazate pe JSON pentru input și output pentru a permite rezultate lizibile de către mașini și automatizarea cererilor bazată pe fișiere.

Thunder Client is a REST API client extension for VS Code that functions as an HTTP request manager, testing tool, and mocking workspace. It allows users to send requests, organize them into collections, and manage API configurations directly within the editor. The project distinguishes itself through a command-line interface for executing automated test suites in CI/CD pipelines and a Git-based synchronization system for sharing request collections and environment configurations across teams. It also incorporates artificial intelligence to automate the conversion of API scripts during migrat