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4 Repos

Awesome GitHub RepositoriesHardware-Constrained Profilers

Profilers that simulate specific hardware limitations to measure execution performance on low-end devices.

Distinct from Execution Profilers: Distinct from general execution profilers by focusing on simulated hardware constraints rather than raw runtime tracing.

Explore 4 awesome GitHub repositories matching testing & quality assurance · Hardware-Constrained Profilers. Refine with filters or upvote what's useful.

Awesome Hardware-Constrained Profilers GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • chrismaltby/gb-studioAvatar von chrismaltby

    chrismaltby/gb-studio

    9,315Auf GitHub ansehen↗

    GB Studio is a visual integrated development environment and game engine for creating 8-bit games for Game Boy hardware. It functions as a retro hardware ROM compiler that transpiles graphical logic into native Z80 assembly and binary images compatible with original handhelds and emulators. The project serves as a cross-platform build tool, generating both native hardware ROMs and web-compatible builds from a single project source. It utilizes a drag-and-drop interface for game logic and scene design, allowing for the creation of game mechanics and asset placement without writing low-level ma

    Analyzes execution timing and resource consumption to optimize software responsiveness on limited 8-bit hardware.

    TypeScript
    Auf GitHub ansehen↗9,315
  • ai/size-limitAvatar von ai

    ai/size-limit

    6,911Auf GitHub ansehen↗

    size-limit is a set of specialized tools for measuring JavaScript bundle sizes and enforcing performance budgets within continuous integration pipelines. It functions as a bundle size monitor and budget enforcer that can reject pull requests when JavaScript bundles exceed predefined size thresholds. The project distinguishes itself by providing a browser-based execution profiler that calculates the time required to compile and execute JavaScript on simulated low-end hardware. It also includes a tree-shaking validator that analyzes partial import bundle sizes to verify that unused code is corr

    Simulates low-end device constraints to estimate the real-world performance cost of JavaScript execution.

    JavaScript
    Auf GitHub ansehen↗6,911
  • tencent/gtAvatar von Tencent

    Tencent/GT

    4,407Auf GitHub ansehen↗

    GT ist ein mobiles On-Device-Debugging-Tool, das entwickelt wurde, um Netzwerkpakete zu erfassen, Systemprotokolle zu analysieren und die Hardwareleistung direkt auf einem Smartphone zu profilieren. Es bietet eine portable Suite von Dienstprogrammen zur Identifizierung von Softwarefehlern und Verarbeitungsengpässen, ohne dass eine Verbindung zu einem Host-Computer erforderlich ist. Das Projekt bietet ein Plugin-basiertes Debugging-Framework, das die Entwicklung benutzerdefinierter funktionaler Erweiterungen zur Implementierung projektspezifischer Debugging-Logik ermöglicht. Es ermöglicht zudem Echtzeit-Parameter-Tuning und -Injektion, wodurch interne Anwendungseinstellungen während der Ausführung modifiziert werden können, um verschiedene Konfigurationen zu testen. Das Tool deckt mehrere Kernbereiche der Observability und Diagnose ab, einschließlich Hardware-Leistungsprofiling für CPU-, Speicher-, Batterie- und Framerate-Metriken. Es enthält Funktionen zum Abfangen und Analysieren von Netzwerkverkehr und API-Kommunikationen sowie Dienstprogramme zur Aggregation und Analyse von Anwendungs- und System-Crash-Logs.

    Provides tools for measuring actual on-device hardware resource consumption and execution timing.

    Java
    Auf GitHub ansehen↗4,407
  • facebookresearch/map-anythingAvatar von facebookresearch

    facebookresearch/map-anything

    2,915Auf GitHub ansehen↗

    Map-anything is a 3D scene reconstruction framework and neural geometry estimator designed to transform two-dimensional images into metric three-dimensional spatial representations using feed-forward neural networks. It provides a specialized toolkit for predicting camera intrinsics and ray directions from single images without requiring external geometric metadata. The project includes a 3D model benchmarking suite that utilizes a unified model wrapper to standardize outputs from diverse reconstruction models. This allows for consistent evaluation and accuracy measurement across various spat

    Tracks GPU memory consumption and inference speed across varying view counts for performance optimization.

    Python3d-reconstructionaicalibration
    Auf GitHub ansehen↗2,915
  1. Home
  2. Testing & Quality Assurance
  3. Performance Testing and Analysis
  4. Performance Diagnostics
  5. Execution Profilers
  6. Hardware-Constrained Profilers

Unter-Tags erkunden

  • Hardware Resource ProfilingTools for measuring actual hardware resource consumption and execution timing on target devices. **Distinct from Hardware-Constrained Profilers:** Distinct from Hardware-Constrained Profilers: measures actual on-device resource usage and timing instead of using simulated constraints.