Awesome GitHub RepositoriesFunction Execution Timing

spdlog est une bibliothèque de journalisation C++ haute performance conçue pour enregistrer des messages de diagnostic et des événements d'application. Elle sert de framework de journalisation asynchrone et de bibliothèque thread-safe qui coordonne l'accès entre les threads concurrents pour maintenir l'intégrité des messages. Le projet fonctionne comme un routeur de journaux multi-cibles, distribuant des événements uniques vers plusieurs destinations telles que des consoles, des fichiers et des démons système. Il inclut un gestionnaire de rotation de journaux qui gère les cycles de vie des fichiers via des stratégies de rollover basiques, rotatives ou quotidiennes pour éviter l'épuisement du disque. La bibliothèque couvre un large éventail de capacités, incluant le formatage de journaux personnalisé pour les types définis par l'utilisateur et les données binaires, la capture de l'emplacement source et le suivi du temps d'exécution. Elle fournit également des primitives d'observabilité telles que la capture de backtrace d'événement via la mise en tampon circulaire des messages de débogage et la capacité de gérer les niveaux de journalisation via une configuration externe au moment de l'exécution. La bibliothèque est disponible sous forme de distribution header-only pour éliminer les étapes de compilation séparées.

Winston is a versatile logging library for Node.js designed to record system events and metadata. It functions as a multi-transport log manager that routes data to various destinations and a structured log formatter that transforms entries into JSON or plain text. The project is distinguished by its pluggable transport architecture, which decouples the logging interface from delivery mechanisms. This allows for the creation of custom transport extensions and the use of hierarchical logger instances to inherit configurations while attaching persistent metadata to downstream messages. The libr

BCC is an eBPF development toolkit and tracing framework used for monitoring and analyzing the Linux kernel. It functions as a performance analysis tool and debugging utility to capture system events, measure kernel latency, and provide network observability. The project distinguishes itself by providing a build system that integrates with LLVM to compile C-like code into BPF bytecode at runtime. It utilizes BPF Type Format data for relocations to maintain cross-kernel compatibility and extracts kernel headers to ensure the generated programs match the specific kernel version. The toolkit co

MicroPython is a lean implementation of Python 3 optimized to run on microcontrollers and other resource-constrained systems. It serves as a cross-platform embedded runtime and hardware abstraction layer, providing a firmware framework that maps high-level software commands to specific microcontroller registers across diverse processor architectures. The project functions as an embedded language interpreter that enables rapid prototyping on hardware through an interactive read-eval-print loop. It supports a wide range of target environments, including ARM, ESP32, STM32, RISC-V, and WebAssembl

DoKit is a frontend development debugging toolset designed for web and mobile applications. It provides a suite of utilities for intercepting network traffic, mocking API responses, inspecting UI hierarchies, and monitoring mobile app performance. The project is distinguished by its focus on hybrid app inspection, allowing developers to execute scripts within web views and browse internal application sandboxes. It includes a visual UI audit tool with alignment rulers and color pickers to verify that interfaces match design specifications, as well as a diagnostic system that tracks CPU usage a

Laravel Debugbar is a web-based debugging toolbar and application profiler for Laravel. It provides a visual interface to inspect database queries, logs, and performance metrics in real time to identify and resolve bugs during development. The tool features a database query monitor to capture SQL statements and timings, as well as a request inspector for analyzing route metadata, loaded views, and HTTP request data. It includes a profiler for measuring execution time and memory usage to identify bottlenecks in the request lifecycle. Its observability capabilities cover exception capture, app

py-spy is a sampling profiler and process debugger for Python. It allows for the analysis of running processes to identify performance bottlenecks and diagnose hanging programs without requiring code changes or restarts. The tool operates by reading the memory of a running process from the outside, which enables non-invasive sampling and state collection without pausing execution. It can resolve binary symbols to capture performance data from native extensions written in compiled languages and generate visual flame graphs for both native extensions and subprocesses. The project provides capa

This project is a JavaScript logging utility and namespace-based debugger used for printing formatted, color-coded debug messages to the console in Node.js, web browsers, and Deno. It serves as a console output formatter and execution time profiler to help identify bugs and track program flow. The system manages debug visibility through named namespaces, allowing specific groups of messages to be enabled or disabled via environment variables. It distinguishes different modules in the output stream by assigning specific colors to these namespaces. The utility includes capabilities for measuri

Quantaxis is a quantitative trading framework designed for building, backtesting, and executing automated strategies across global equities, futures, and cryptocurrencies. It integrates an event-driven backtesting engine, a multi-market execution gateway for order routing, and a quantitative data pipeline for ingesting and storing multi-asset market data. The system features a Rust-accelerated financial library that utilizes Apache Arrow for high-performance technical indicator calculation and zero-copy data processing. It provides a containerized infrastructure model designed for orchestrati

Healthchecks is a heartbeat monitoring service and cron job monitoring tool designed to track the execution and success of scheduled tasks and systemd timers. It functions as a dead man switch, alerting users when expected periodic signals from remote processes fail to arrive. The system accepts health signals via HTTP and SMTP, allowing it to track infrastructure heartbeats from sources ranging from CI/CD workflows to network routers. It distinguishes itself by supporting the capture of diagnostic data, including exit codes and execution logs, and by calculating the duration between start an

Sokol is a C hardware abstraction layer and cross-platform graphics library designed for managing windowing, input, and audio across different operating systems. It functions as a GPU resource manager and multimedia application framework, providing a unified API for rendering 2D and 3D graphics across WebGL, Metal, Direct3D, and OpenGL. The project is distinguished by its single-header implementation, which simplifies integration and portability. It utilizes a stateless render pass definition and a one-update-per-frame model to synchronize CPU data to GPU memory and manage resource lifecycles

mini.nvim is a comprehensive library of independent modules designed to extend Neovim with a wide array of navigation, user interface, and text manipulation tools. It serves as a modular plugin collection, a UI toolkit for creating custom statuslines and notifications, and a package manager for installing and pinning external plugins from Git. The project provides a specialized fuzzy picker framework for filtering files and symbols, an LSP completion engine with interactive snippet expansion, and a dedicated plugin test framework that uses headless editor instances and remote procedure calls

Torch7 is a scientific computing environment and tensor computation library used for deep learning research and numerical analysis. It functions as a Lua-based framework for training neural networks and learning agents, providing a toolkit for implementing architectures and training through reinforcement learning algorithms. The project is distinguished by its tight integration with C, utilizing a binding layer to map high-level scripting to low-level C structures for direct memory access. It supports hardware-accelerated computation by offloading linear algebra and convolution operations to

This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p

pysheeet est une bibliothèque de référence technique fournissant une collection organisée d'extraits de code et de modèles d'implémentation pour le développement Python avancé, l'intégration système et le calcul haute performance. Il sert de guide complet pour implémenter la programmation réseau de bas niveau, les extensions C natives, et la programmation asynchrone et concurrente. Le projet fournit des frameworks spécialisés pour le développement et le déploiement de grands modèles de langage, y compris des outils pour l'inférence GPU distribuée et le service haute performance. Il inclut également des modèles détaillés pour l'orchestration de clusters de calcul haute performance, couvrant l'allocation des ressources GPU et la gestion des charges de travail multi-nœuds. La bibliothèque couvre une large surface de capacités, y compris la communication réseau sécurisée et la cryptographie, l'ORM et la gestion de base de données, et l'implémentation de structures de données et d'algorithmes complexes. Elle fournit également des utilitaires pour la gestion de la mémoire, l'interopérabilité native via des interfaces de fonctions étrangères (FFI) et l'intégration au niveau du système d'exploitation.

TechEmpower FrameworkBenchmarks is an open-source project that provides a standardized, reproducible suite for measuring and comparing the performance of web frameworks across many languages. At its core, it defines a set of common server-side tasks—such as JSON serialization, database queries, and server-side template rendering—and executes them uniformly against hundreds of framework implementations to produce comparable throughput and latency metrics. The project is built around a multi-language benchmark harness that automates the full test lifecycle, from dependency installation and serve

This project is a software-defined radio platform designed to capture, analyze, and broadcast radio frequency signals across a wide spectrum. It provides a programmable hardware interface for transmitting and receiving radio signals, enabling spectrum analysis and wireless data monitoring. The system is distinguished by its ability to synchronize multiple devices using a shared external clock and hardware triggers to ensure precise timing and sample accuracy. It supports advanced signal routing, allowing ports to be mapped based on frequency or time to enable specialized operations like pseud

php-timer is a set of utilities for measuring, tracking, and formatting the execution duration and memory consumption of PHP code segments. It functions as an execution timer and performance profiling utility to analyze resource consumption. The project provides capabilities to track the duration between start and stop triggers in seconds, milliseconds, or nanoseconds. It also includes a resource usage tracker that converts raw execution timestamps and memory bytes into human-readable text strings for reporting. The tool covers performance profiling, resource monitoring, and request duration

snacks.nvim is a comprehensive collection of quality-of-life plugins and utilities designed to extend the core functionality of Neovim. It serves as a multi-purpose toolkit providing a UI framework, navigation enhancements, and integrations with external services. The project distinguishes itself by combining a wide array of specialized tools into a single suite, including a picker-based file explorer, a deep GitHub integration for managing issues and pull requests, and a set of development utilities for profiling Lua performance and inspecting code execution. Its broader capability surface

pyinstrument is a statistical sampling profiler for Python that records the call stack at regular intervals to identify performance bottlenecks with low overhead. It tracks wall-clock time, including I/O and external service calls, and provides specialized profiling for asynchronous programs by attributing time spent awaiting tasks to the calling function. The project converts captured execution data into interactive HTML reports, JSON, and flamecharts. It includes a call stack visualizer to simplify the analysis of execution paths and supports the profiling of individual cells within interac