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Inspecting and analyzing PHP application runtime data including performance metrics, logs, database queries, and stack traces during development.
Distinct from PHP Development Tools: Distinct from PHP Development Tools: focuses on runtime debugging and inspection, not general development tools like linting or refactoring.
Explore 3 awesome GitHub repositories matching development tools & productivity · Runtime Debugging Tools. Refine with filters or upvote what's useful.
Clockwork is a PHP development debugging tool that collects and displays runtime data from server-side middleware in a browser-based interface. It captures request details, performance metrics, logs, database queries, and stack traces for HTTP requests, commands, queue jobs, and tests without requiring modifications to application code. The tool provides a client-side rendered toolbar and full web interface for inspecting collected data, including a searchable performance timeline viewer, an HTTP request monitor with timing and response details, and inline variable logging helpers that return
Inspecting and analyzing PHP application runtime data including performance metrics, logs, database queries, and stack traces during development.
dnmp is a containerized web development environment that provisions a full LNMP stack consisting of Nginx, MySQL, PHP, and Redis. It serves as a management system for coordinating web server routing, language runtime versions, database administration, and SSL certificate provisioning within Docker containers. The project distinguishes itself through a comprehensive PHP runtime manager that allows for switching between multiple language versions and managing extensions in isolated environments. It includes an automated SSL certificate manager that uses webroot validation to provision and renew
Tracks and analyzes PHP application runtime status to identify bugs and performance bottlenecks.
This library provides a structured framework for managing runtime failures and debugging within PHP applications. It functions by intercepting native language errors, warnings, and system signals, converting them into catchable, object-oriented exceptions to ensure consistent control flow throughout the application lifecycle. The project distinguishes itself by normalizing raw execution backtraces and providing a transformation layer that standardizes how system failures are reported. It includes specialized tools for monitoring the class loading process, ensuring that dependency resolution i
Provides a set of tools for inspecting runtime environments, detecting deprecated code, and formatting stack traces.