6 Repos
Utilities that track the timing and state of browser network requests to drive UI updates.
Distinct from AJAX Request Triggers: Distinct from AJAX Request Triggers: focuses on monitoring the duration and completion of requests rather than the mechanism that initiates them.
Explore 6 awesome GitHub repositories matching web development · Request Duration Monitors. Refine with filters or upvote what's useful.
Pace is a page loading progress bar that monitors browser navigation and network requests to provide a visual loading indicator. It functions as a frontend navigation tracker and browser request monitor, tracking document states and URL patterns to drive the progress of a loading bar during page transitions. The tool includes a customizable loading indicator with configurable themes and visual styles. It provides request tracking control to filter which specific network requests trigger the progress bar using global settings or URL patterns. The system covers the monitoring of frontend reque
Tracks document states and URL patterns to trigger visual updates based on the duration of network requests.
AndroidNetworking is an HTTP networking library for Android that handles the full lifecycle of network communication, from sending requests to parsing responses and caching data. It provides a unified interface for executing GET, POST, PUT, DELETE, HEAD, and PATCH requests, with support for both synchronous and asynchronous execution, and includes built-in JSON response parsing that converts server responses directly into Java objects or lists. The library distinguishes itself through a set of integrated capabilities that go beyond basic request execution. It manages file downloads and upload
Tracks bytes sent, bytes received, and time taken for each request to identify slow or data-heavy operations.
🚀 A Complete Fast Android Networking Library that also supports HTTP/2 🚀
Tracks bytes sent, bytes received, and duration for each request to identify slow or data-heavy network calls.
Altair ist ein grafischer GraphQL-API-Client, eine integrierte Entwicklungsumgebung (IDE) und ein Schema-Explorer. Es fungiert als Debugging-Tool und Kollaborationsplattform für die Ausführung von Queries, Mutations und Subscriptions gegen GraphQL-Server. Das Projekt zeichnet sich durch cloud-synchronisierte Workspaces aus, um Query-Sammlungen innerhalb von Teams zu organisieren und zu teilen. Es bietet ein flexibles Erweiterungs-Framework, das die Installation und Ausführung von Drittanbieter-Plugins in isolierten Sandboxes ermöglicht. Die Plattform deckt eine Vielzahl von Funktionen ab, darunter KI-gestützte Query-Erstellung, visuelle Schema-Erkundung und Echtzeit-Daten-Subscriptions über mehrere Transportprotokolle. Zudem enthält sie Tools für Request-Automatisierung durch Pre- und Post-Request-Scripting sowie Dienstprogramme zur Verwaltung von Umgebungsvariablen und zur Analyse von Response-Metadaten. Altair ist als Desktop-Anwendung, Browser-Erweiterung und webbasierte Anwendung verfügbar und kann auf privaten Servern gehostet werden.
Inspects response headers, status codes, and execution timing to debug server behavior.
Rails Panel is a developer tool for Ruby on Rails applications that combines performance monitoring, metadata inspection, and source code linking. It functions as a browser extension and server-side middleware that transmits diagnostic data through HTTP response headers to display application metrics directly within browser developer tools. The tool provides a bridge between the browser and local development environments, enabling deep linking from rendered web pages to specific files and line numbers in a configured text editor. It covers request analysis and observability, including the i
Tracks database execution and rendering times within browser developer tools to identify slow requests.
This is a desktop HTTP client application used for constructing, sending, and analyzing HTTP and GraphQL requests. It provides a graphical interface for API development and testing, including a dedicated GraphQL client with schema-driven autocomplete and validation. The project features an integrated AI assistant that generates API requests from natural language prompts. It supports a complex organization system of spaces and collections with hierarchical authentication inheritance and recursive variable resolution for dynamic request values. The tool covers a broad range of capabilities, in
Displays time and size metadata for completed requests including performance statistics.