This is the gofiber/fiber v3 repository, a high-performance, Express-inspired web framework written in Go. The framework provides a full-featured HTTP server with routing, middleware composition, request binding, session management, caching, logging, and an integrated HTTP client. It is built on top of the valyala/fasthttp library, emphasizing speed and low memory allocation. The architecture is library-based: users create an App instance, define routes and middleware, and start the server. The codebase is well-structured with extensive internal packages for common concerns (e.g., URL normalization, header parsing, template formatting). It includes over 30 built-in middleware packages, many of which are configurable and support pluggable storage backends. The code demonstrates strong engineering practices: extensive test coverage (including fuzz tests), object pooling, SIMD-style optimizations, and security-conscious design (SSRF protection, CSRF, redirect validation). Despite some internal complexity and duplication, it is a mature, actively maintained framework suitable for production use.
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.