Found 40 repositories(showing 30)
dimasyotama
this is a observability dashboard grafana for fastapi
sushma-reddy-garlapati
A full-stack GenAI assistant that retrieves & summarizes consumer complaints using semantic search and LLMs. Built with FastAPI, FAISS, and Hugging Face Transformers, and monitored in real time using Prometheus and Grafana. Includes a modular Streamlit dashboard with hierarchical filtering and UI design. observability, backend, and NLP engineering.
vovinacci
Full-stack DevOps demonstration with FastAPI, React, PostgreSQL, and observability stack (Prometheus, Grafana, Loki). Includes containerization, testing, metrics collection, logging, and monitoring dashboards.
douglasppa
Ready-to-run observability starter (Prometheus/Alertmanager/Grafana + FastAPI RED demo). Includes dashboards, demo/prod alert rules, and SLO/Runbook templates for fast pilots.
GLarsX7
Production-grade FastAPI template for SaaS and enterprise apps. Includes async SQLAlchemy 2.0, schema/row multitenancy, JWT auth, RBAC, observability, analytics dashboard, and Docker-ready deployment. 🚀
MazurPavel
Full-stack observability platform where users can monitor simulated infrastructure metrics, trigger incident scenarios, and analyze system behavior through real-time dashboards built with FastAPI, Next.js, PostgreSQL, and Docker.
Franklindot04
“SRE observability platform using Prometheus, Grafana, Alertmanager, and a FastAPI service with custom metrics. Includes dashboards, alerting, exporters, and real‑world SRE practices like incident simulation, SLOs, and error budgets.”
SiyahKare
🚀 LeviBot — full-stack AI trading suite: Telegram signal ingestion → ML scoring → auto-routing → risk management → MEV, NFT & L2 analytics dashboard. FastAPI + React + Docker + sklearn + Redis-ready architecture. Built for speed, observability & full demo power ⚡
TeamInfinixdevcom
Open-source commercial analytics platform: ingests CSV/DB/API data, builds customer features, trains a conversion-risk model, segments customers with clustering, and serves insights via a Streamlit dashboard and FastAPI scoring endpoint. Includes synthetic data generation and basic observability logs.
enzoberreur
A full Formula 1–style telemetry and monitoring platform that simulates high-frequency sensor data, processes real-time KPIs, and delivers operational dashboards through an observability stack (Prometheus + Grafana). The system integrates a FastAPI stream processor, a Python simulator, and Airflow orchestration, all deployed via Docker.
adityonugrohoid
Custom observability dashboard for OpenClaw AI agent framework — FastAPI + Tailwind + Alpine.js
dinuduke
GitLab GitOps Observability Platform — Full-stack dashboard for GitLab groups with FastAPI, React, PostgreSQL
KhalelX
Observability lab com FastAPI + Prometheus + Loki + Grafana via Docker Compose (métricas, logs e dashboards).
MLOps observability stack — FastAPI inference server, prometheus-client metrics (latency histograms, prediction drift gauges), Grafana dashboard, Docker Compose deploy.
ematavfr
Production-ready FastAPI ML API with comprehensive Prometheus monitoring, automatic metrics collection, and full observability stack including Grafana dashboards.
Nithinvyas
Real-time infrastructure observability dashboard — service health, metrics, deployments & incident tracking across multi-tenant environments. Built with FastAPI + React.
Bennitan
A real-time system observability dashboard built with FastAPI and React. Features live hardware telemetry, SQL persistence, and anomaly detection.
axon011
LLMOps observability dashboard — Langfuse tracing middleware + FastAPI backend + React/TypeScript frontend for real-time LLM cost, latency and quality monitoring
adwibha
Production-style observability stack: Prometheus, Grafana, Alertmanager, Node Exporter, cAdvisor, and FastAPI. Pre-provisioned dashboards and alert rules. One-command local setup.
himanshukumaaar
Production-grade Linux system monitoring platform built using Python and /proc, featuring real-time TUI dashboard, CLI tools, and FastAPI-based observability APIs.
Real-time vehicle telemetry pipeline using Kafka and Spark with built-in observability, data quality checks, and live dashboard via FastAPI and Streamlit.
VSEdwardCarter
Hybrid data engineering platform combining on-prem streaming pipelines, a FastAPI metrics service, and a cloud-ready Next.js dashboard for operational observability.
pedroarruda07
Full-stack Game Cataloguer app with monitoring dashboard, built using React, FastAPI, Postgres, and Docker Compose for multi-service orchestration and real-time observability.
22bcs030
FastAPI app with complete observability using Prometheus, Grafana, Loki & Tempo. Features containerized metrics collection, centralized logging and distributed tracing in one dashboard. Perfect for monitoring microservices or learning modern observability practices with Docker Compose.
KazukiNoSuzaku
An end-to-end observability dashboard for LLM applications built with FastAPI, Streamlit, Arize Phoenix, and Anthropic's Claude API. Monitor costs, latency, and quality metrics in real time.
MnkyBr8n
QUOT — Quary Unified Observability Tool A modular Retrieval-Augmented Generation (RAG) system supporting multiple LLM providers. Built with LangChain, ChromaDB, and Streamlit, with a FastAPI REST API and a React dashboard.
kwamesey
A modern network observability stack written in Python. Features an async agent that measures latency & jitter, a FastAPI backend for data collection, and an HTMX + Chart.js dashboard for real-time visualization.
brodlymorgan
A full-stack AI DevOps observability and anomaly detection platform. Includes FastAPI metrics ingestion, React dashboard, and PyTorch LSTM model for time-series anomaly detection. Real-time updates, API ingestion, and auto-alerting capability.
A simplified Observability & Security Microservice built with Python & FastAPI for the CodeXray intern evaluation. It collects system metrics (CPU/memory), generates alerts, and exposes a secure REST API and web dashboard for reporting and real-time visualization.
Real-time fraud detection pipeline scalable to 50M+ transactions per minute with sub-100ms decisions. Rules engine + ML (Isolation Forest) + Redis feature store, orchestrated via Kafka. Four FastAPI microservices, Plotly Dash dashboard,full observability. Docker Compose deployment.