awesome-repositories.com
المدونة
awesome-repositories.com

اكتشف أفضل مستودعات المصادر المفتوحة باستخدام بحث مدعوم بالذكاء الاصطناعي.

استكشفعمليات بحث منسقةبدائل مفتوحة المصدربرمجيات ذاتية الاستضافةالمدونةخريطة الموقع
المشروعحولكيفية ترتيب النتائجالصحافةخادم MCP
قانونيالخصوصيةالشروط
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

3 مستودعات

Awesome GitHub RepositoriesTrace-Based Flow Visualizers

Visual directed graphs reconstructed from sequential tool calls and model interactions.

Distinct from Execution Graphs: Focuses on visualizing observed execution traces rather than managing DAGs for distributed task execution

Explore 3 awesome GitHub repositories matching software engineering & architecture · Trace-Based Flow Visualizers. Refine with filters or upvote what's useful.

Awesome Trace-Based Flow Visualizers GitHub Repositories

اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
  • raga-ai-hub/ragaai-catalystالصورة الرمزية لـ raga-ai-hub

    raga-ai-hub/RagaAI-Catalyst

    16,150عرض على GitHub↗

    RagaAI-Catalyst is a suite of software implementation tools providing an SDK, dashboard, and platform for monitoring, debugging, red-teaming, and evaluating agentic AI workflows. It serves as an observability framework for tracing the execution paths of large language models and multi-agent systems. The project distinguishes itself through a security suite for automated red-teaming and vulnerability scanning to detect biases, alongside a centralized prompt registry that decouples templates from application code. It further provides an evaluation platform that combines synthetic data generatio

    Captures sequential tool calls and model interactions to visualize the logic flow as a directed graph.

    Python
    عرض على GitHub↗16,150
  • agenta-ai/agentaالصورة الرمزية لـ Agenta-AI

    Agenta-AI/agenta

    3,860عرض على GitHub↗

    Agenta is a Prompt Ops lifecycle manager and prompt management platform that decouples prompt engineering from application code. It serves as a centralized system for developing, versioning, and deploying prompt templates and model configurations across different environments. The platform functions as an AI agent orchestrator with a visual interface for building agent workflows and connecting models to external tools. It further acts as an evaluation framework and observability tool, utilizing OpenTelemetry to capture execution traces, monitor latency, and track token costs. The system cove

    Displays captured request spans and metadata in a dashboard to analyze execution flow.

    TypeScriptagentsevaluationllm-as-a-judge
    عرض على GitHub↗3,860
  • remzi-arpacidusseau/ostep-homeworkالصورة الرمزية لـ remzi-arpacidusseau

    remzi-arpacidusseau/ostep-homework

    2,881عرض على GitHub↗

    This project is a collection of operating systems courseware and educational programming exercises designed for studying operating system design and implementation. It provides a set of concept simulators for modeling CPU scheduling, memory virtualization, and concurrency mechanisms. The project includes specialized tools such as a concurrency simulation lab for experimenting with synchronization, a file system modeling suite for studying disk persistence and RAID configurations, and a process tree visualizer for displaying parent-child relationship hierarchies. The software covers broader c

    Generates visual directed graphs reconstructed from process execution traces to map parent-child relationships.

    Python
    عرض على GitHub↗2,881
  1. Home
  2. Software Engineering & Architecture
  3. Execution Graphs
  4. Trace-Based Flow Visualizers