thehardwarestore.ai

This repository provides a Ring adapter for Jetty web servers, enabling Clojure/Ring applications to run on Jetty 11 and 12 with support for modern web protocols. Despite its 'jetty9' name, it tracks recent Jetty releases and adds features like HTTP/2, HTTP/3, and WebSocket support that aren't in the official Ring Jetty adapter. The architecture centers around a core adapter that creates and configures Jetty Server instances, with separate implementations for synchronous and asynchronous Ring handlers. It cleanly separates concerns: connection handling (HTTP/HTTPS/HTTP/2/HTTP/3), request/response translation between Jetty and Ring models, and protocol-specific upgrades (WebSocket). The adapter supports virtual threads, SSL/TLS configuration, and serves as a drop-in replacement for the official ring-jetty-adapter while offering more recent Jetty versions and additional features. Notable for its quality implementation are the WebSocket bridge that properly translates between Jetty's WebSocketListener and Ring's WebSocket protocols, and the asynchronous handler implementation that correctly manages the race condition between handler completion and timeout using atomic state and Jetty's scheduling facilities. The optional HTTP/2 and HTTP/3 modules demonstrate good practices for extending the core adapter with dynamically loaded dependencies.

Plow is a high-performance HTTP(S) benchmarking CLI tool written in Go. It uses fasthttp for efficient HTTP client operations and provides real-time metrics including latency statistics, percentiles, histograms, and throughput. The tool supports configurable concurrency, request rate limiting, ramp-up, duration-based or request-count-based runs, and custom headers, body, TLS, and proxy settings. It outputs results to the terminal with live updating tables and also serves a web UI with interactive charts (latency, RPS, status codes, concurrency) using go-echarts. The architecture is a single binary with three main components: a requester that spawns concurrent workers, a stream-based report aggregator that computes streaming quantiles and histograms, and a printer/chart server for output. The code is well-structured, thoroughly tested, and follows Go best practices. It is not a library but a standalone application, though some internal components (e.g., the streaming stats engine and throughput interceptor) are cleanly isolated and could be reused in other projects.

MixPHP is a high-performance PHP framework designed for CLI-mode development, supporting multiple server drivers including Swoole, Swow, WorkerMan, PHP-FPM, and the built-in CLI server. The framework is built as a modular monorepo with over 30 independent packages covering HTTP routing (Vega), WebSocket, gRPC, database access, Redis, CLI commands, validation, event dispatching, caching, dependency injection, and microservice infrastructure (service registry, circuit breaker, distributed tracing). The architecture emphasizes coroutine-based concurrency via Swoole, allowing seamless switching between server runtimes with minimal code changes. All components follow PSR standards (PSR-7, PSR-14, PSR-17, PSR-3) and are designed to be used independently, enabling developers to pick only what they need. The framework provides full-stack capabilities for building REST APIs, web applications, WebSocket services, gRPC servers, CLI tools, and microservices. It includes connection pooling for database and Redis, a PSR-14 event dispatcher, a standalone validation library, a generic object pool pattern, and a bean container for dependency injection. Examples and skeleton projects (api, web, cli, grpc, websocket) are provided to accelerate development. The codebase is well-tested with PHPUnit and includes continuous integration via GitHub Actions for splitting the monorepo into individual packages. While the framework is actively maintained and demonstrates strong craftsmanship, some modules show signs of technical drift such as deprecated classes (e.g., FileSystemApplicationContext, legacy cache handlers), reliance on specific Swoole versions, and copied Composer utilities that may diverge over time. The documentation is primarily in Chinese, and the Go counterpart (mix-go/mix) may split community attention.

file.d is a high‑throughput log and event processing daemon written in Go, designed for production data pipelines. It reads events from various sources (files, Kafka, Kubernetes, HTTP, syslog, sockets, journalctl), runs them through a configurable chain of action plugins (masking, throttling, transformation, decoding, joining, etc.), and delivers them to multiple outputs (Elasticsearch, ClickHouse, Loki, S3, Kafka, Splunk, Postgres, GELF, file, stdout). The architecture is plugin‑based: inputs, actions, and outputs register into a central registry, and pipelines are defined via YAML configuration. The system provides at‑least‑once delivery semantics, stream‑based ordering, batching with backoff, and dead‑queue failover. The codebase demonstrates strong engineering practices: extensive unit and integration tests (including e2e scenarios with external services), performance optimizations (zero‑copy JSON via insane‑json, event pooling, memory limits), and a rich set of reusable internal libraries (HTTP client with circuit breaker, metric controllers, match rules, configuration parsing). It includes a Helm chart for Kubernetes deployment, Prometheus monitoring with a Grafana dashboard, and a playground web service for interactively testing pipelines. The transform action includes a custom expression language with a Pratt parser and compiler. While the core is solid, there are some maintenance risks: many plugins contain global caches or mutable state, several code paths call `logger.Fatal` on misconfiguration (making the whole process exit), and the file input offset persistence is hand‑rolled. The large number of input/output/action plugins (~40 total) increases surface area for drift, and some e2e tests depend on external Docker services. Overall, file.d is a mature and capable data pipeline framework, well‑suited for log aggregation and transformation in containerized environments.

Firefly is a high-performance asynchronous networking framework for the JVM, written in Java and Kotlin. It provides a comprehensive set of I/O primitives including HTTP/1.1, HTTP/2, WebSocket (RFC 6455), TCP, and UDP, with both client and server implementations. The framework is designed around Kotlin coroutines and Java NIO2 (AIO), offering non-blocking, backpressure-aware streams and a router-based HTTP server with support for content negotiation, CORS, static file serving, and HTTP/2 upgrade. It also includes built-in SLF4J logging with XML configuration, a JSON serialization service, a WeChat enterprise bot module, and a JNI helper for native code integration. The codebase is modular (firefly-common, firefly-net, firefly-slf4j, firefly-serialization, firefly-wechat, firefly-example) and demonstrates deep protocol-level craftsmanship with custom HPACK, Huffman coding, and state-machine parsers. While primarily a library for building network services, it also serves as a reference implementation for protocol handling on the JVM.

EGO is a Go microservices framework designed around component-based lifecycle management. It provides servers (HTTP via Gin, gRPC), clients (HTTP, gRPC), scheduled tasks (cron, one-off jobs), and built-in observability (structured logging, Prometheus metrics, OpenTelemetry tracing). The framework uses a configuration-driven pattern (Load → Build) and includes protoc plugins for generating error types, HTTP handlers, and test scaffolding. Production usage typically involves defining components in TOML/YAML config files and wiring them via the ego.New().Serve(...) entry point. The architecture is modular with clear abstractions for configuration, logging, metrics, registry, and resilient interceptors.

This repository is the official W3C WebSub specification (formerly PubSubHubbub), a decentralized publish/subscribe protocol over HTTP. It is not a software application or data pipeline; it contains the normative ReSpec specification documents, implementation reports, and W3C governance metadata. The core deliverable is source.html, with staged snapshots for FPWD, Working Draft, and the 2018 Recommendation. The spec defines three roles — publisher, subscriber, and hub — and specifies discovery via link rel=hub/self, hub subscription/unsubscription with lease management, content distribution via POST, and optional authenticated distribution using HMAC signatures. It also includes conformance classes and implementation report templates that multiple independent projects (Google, Mastodon, Twitch, Superfeedr, etc.) have used to self-certify interoperability.

Dromara/forest is a declarative HTTP client framework for Java. It allows developers to define HTTP APIs via annotations on interfaces, similar to Retrofit for Android, but targeting the Java ecosystem with deep integration for Spring Boot and Solon. The core engine uses dynamic proxies to intercept interface invocations, builds HTTP requests from annotation metadata, and dispatches them to pluggable backends (Apache HttpClient, OkHttp3). It supports all HTTP methods, file upload/download, JSON/XML/Protobuf serialization, server-sent events (SSE), OAuth2 authentication, retry/redirect policies, cookie management, and async execution (including Kotlin coroutines and Project Reactor). The architecture is modular: a core library defines the annotation lifecycle, request/response models, converter abstractions, and interceptor chains, while separate modules provide Spring Boot auto-configuration, Solon plugin, JAXB/Jakarta XML converters, and a mock server for testing. The framework is designed for production use with customizable logging, SSL, proxy, and connection pooling. External dependencies include OkHttp3, Apache HttpClient, Jackson/Gson/Fastjson for JSON, and optional Reactor/Kotlin. The project includes extensive examples for integrating with AI APIs (ChatGPT, DeepSeek) and standard REST services.

This repository contains a collection of example applications demonstrating the use of the gnet networking library in Go. The examples cover various networking paradigms including TCP, UDP, Unix domain sockets, HTTP, WebSocket, and a custom binary protocol. Each example is a standalone program showcasing event-driven connection handling, message parsing, and protocol implementation using gnet's APIs. Key examples include echo servers for different transports, an HTTP server using wildcat for parsing, a push server broadcasting periodic messages, a simple protocol client/server with a custom framing codec, and WebSocket implementations using both gobwas/ws and a custom RFC 6455-compliant codec. The code illustrates gnet's event loop patterns, connection context usage, and efficient I/O handling. While the examples are generally idiomatic and functional, some dependencies show mild technical drift (e.g., the wildcat HTTP parser is outdated). The repository is actively maintained with recent commits and serves as a practical reference for learning gnet-based network programming in Go.

Lavandula is a lightweight C web framework designed for building small web applications quickly. It provides HTTP server functionality with routing, middleware pipeline support, SQLite3 integration, and a built-in JSON library. The framework includes a CLI tool (lavu) for project scaffolding and features a 'hot restart' mechanism for development. The codebase is well-organized with clear separation of concerns between HTTP parsing, routing, middleware, and database operations. However, the README explicitly states it's in early development and not production-ready, with several features still in progress including multithreading, TLS, rate limiting, and the Lavender ORM layer. The framework demonstrates solid C engineering practices with proper memory management, error handling, and a comprehensive test suite covering core components like JSON parsing, authentication, CORS, and HTTP parsing.

The C++ REST SDK (cpprestsdk) is a cross-platform, asynchronous C++ library for building cloud-based client-server applications. It provides a comprehensive set of APIs for HTTP client and server communication, JSON parsing and serialization, URI manipulation, WebSocket client support, OAuth 1.0 and 2.0 authentication, and asynchronous stream I/O. The library is built on a custom task-based concurrency model (PPLX) that abstracts platform-specific threading and synchronization, enabling portable async operations across Windows, Linux, macOS, iOS, and Android. The architecture is modular: HTTP client and server implementations use a pipeline stage pattern for middleware (e.g., compression, authentication), and the stream buffer abstraction decouples data sources from I/O operations. The codebase includes extensive functional tests using a bundled UnitTest++ framework, along with sample applications demonstrating real-world usage (BlackJack game, OAuth flows, file search). However, the repository is officially archived and no longer maintained; it exhibits significant technical drift, including deprecated APIs, platform-specific conditional compilation, and dependencies on older library versions (Boost, OpenSSL). Despite this, many components—such as the PPLX task system, URI builder, JSON value, and stream buffers—are well-crafted and could be extracted for reuse in new projects with minimal adaptation.

This is a lightweight SMTP server written in Go, designed to receive large volumes of email, parse MIME content, and store messages in MongoDB. It includes a web interface for viewing messages, managing greylisting, and real-time notifications via WebSockets (using the embedded Incus library). The server implements core SMTP commands (HELO/EHLO, MAIL, RCPT, DATA, AUTH, STARTTLS, XCLIENT) and supports TLS, greylisting, and spam filtering via regex. The architecture is monolithic: a single binary runs both the SMTP listener and an HTTP server for the web UI. The codebase is functional but shows signs of age: it uses deprecated dependencies (gopkg.in/mgo.v2, github.com/robfig/config, github.com/gosexy/redis), lacks a go.mod file, and has no automated tests. The SMTP protocol handling is reasonably robust, and the MIME parsing is non-trivial, but the overall project would benefit from modernization and testing.

This repository provides a deprecated Docker image for running Starlette applications with Uvicorn managed by Gunicorn. The image includes auto-tuning of worker processes based on CPU cores. However, the project is explicitly deprecated in favor of using Uvicorn with the `--workers` option directly, as the need for Gunicorn as a process manager has been eliminated by recent Uvicorn features. The repository contains Dockerfiles for Python 3.10 and 3.11 (slim and non-slim) that build upon the `tiangolo/uvicorn-gunicorn` base image, and installs Starlette. It includes a minimal example application and tests to verify the image behavior.