Awesome GitHub RepositoriesInfluxDB Metric Ingestors

Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network

VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct

AI-on-the-edge-device is an edge AI meter digitizer and computer vision image processor designed to convert images of analog and digital utility meters into numeric values. It functions as an IoT gateway that runs neural network inference locally on hardware to monitor water, power, and gas readings. The system is distinguished by its ability to handle both analog pointers and digital digits through custom-trained neural networks. It includes specialized tools for image alignment, region-of-interest extraction, and hardware-level lighting control to minimize glare on glass surfaces. To mainta

This project is a software-defined radio signal decoder and protocol analyzer designed to translate raw radio transmissions from ISM bands into human-readable data. It functions as a tool for capturing radio samples, analyzing pulse timings, and decoding signals from wireless devices. The system acts as a data bridge, converting decoded radio signals into JSON format for publication to MQTT brokers or exposure via Prometheus-compatible endpoints. It also serves as a signal capture tool capable of recording raw radio samples and demodulated pulses to files for offline analysis and simulated pl

WatchYourLAN is a self-hosted network discovery and monitoring tool written in Go. It scans local network interfaces using ARP requests to detect connected devices, tracks their online and offline status over time, and identifies when new or previously unseen hosts appear on the network. The application stores host data and connection history in either SQLite or PostgreSQL, and can export metrics to InfluxDB or expose a Prometheus endpoint for long-term storage and visualization in dashboards like Grafana. The tool provides a REST API for programmatic management of monitored hosts, including

GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without

m3 ist eine verteilte Zeitreihendatenbank, die für hochauflösende Metriken und die Verwaltung von Daten mit hoher Kardinalität entwickelt wurde. Sie fungiert als skalierbares Speichersystem und Multi-Cluster-Query-Engine und bietet einen verteilten Metrik-Aggregator, der Daten vor dem Speichern downsamplen und zusammenfassen kann. Das Projekt zeichnet sich durch ein koordiniertes Clustermodell aus, das etcd für die Knotenmitgliedschaft und Shard-Platzierung nutzt. Es unterstützt mehrere Ingestion-Protokolle, einschließlich des Prometheus-Remote-Write-Protokolls, des InfluxDB-Line-Protokolls und des Graphite-Carbon-Plaintext-Protokolls, und bietet kompatible Query-Schnittstellen für PromQL und Graphite. Das System deckt breite Funktionsbereiche ab, einschließlich spaltenorientierter Zeitreihenspeicherung, synchroner Datenreplikation und verteiltem Query-Fan-out. Es integriert Daten-Lifecycle-Automatisierung, Quorum-basiertes Konsistenz-Tuning und Tag-basierte Serienindizierung, um Datenintegrität und Abfragegeschwindigkeit über isolierte Namespaces hinweg aufrechtzuerhalten. Cluster-Orchestrierung und Komponentenplatzierung werden durch automatisierte Tools und Operatoren verwaltet, um hohe Verfügbarkeit und eine ausgewogene Datenverteilung sicherzustellen.