Projects sharing features with Grai Core

DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Next-Gen Data Discovery and Data Observability Platform

OpenMetadata is an enterprise data catalog, metadata platform, and governance suite that functions as a knowledge graph for data assets. It serves as an AI-ready metadata layer, providing governed context and organizational memory to large language model agents via the Model Context Protocol. The platform distinguishes itself by capturing institutional knowledge, linking conversations, decisions, and remediation notes directly to data assets to preserve tribal knowledge. It integrates AI agents to automate metadata governance, such as suggesting descriptions and identifying sensitive data thr

DataHub is a metadata management system and data catalog platform designed to provide a centralized directory for discovering, managing, and documenting datasets across a diverse data stack. It serves as a comprehensive framework for metadata management, incorporating a data governance framework to classify sensitive information and assign ownership for organizational accountability. The platform distinguishes itself through AI-enabled data discovery, which connects large language models to a metadata graph to allow for natural language search and exploration of data assets. It also provides

OpenAddresses is an open-source geospatial data aggregator and directory that collects public domain and open-license address, parcel, and building datasets from governments and organizations worldwide. It functions as a global index and data warehouse for locating and distributing free geospatial records. The project operates a normalization pipeline that cleans and standardizes diverse source formats into a consistent global coordinate and attribute schema. This process includes a crowdsourced curation pipeline and programmatic quality validation to verify the spatial accuracy and formattin

Cachet is a self-hosted, open-source status page system designed to communicate service uptime, incident history, and infrastructure performance to end users. It provides a centralized dashboard for managing the operational lifecycle of system components, tracking service disruptions, and scheduling maintenance windows. The platform distinguishes itself through a comprehensive RESTful API that enables programmatic status page management and automated incident reporting. It supports deep integration with external monitoring tools, allowing for the synchronization of performance metrics and the

Debugging tool for Kubernetes which tests and displays connectivity between nodes in the cluster.

Lightweight Docker monitoring dashboard with anomaly detection & Telegram alerts. One-liner install, zero config.

Tetragon is an eBPF-based runtime security and observability toolset designed for Linux and Kubernetes environments. It functions as a security policy manager, observability agent, and enforcement engine that hooks into kernel functions and tracepoints to detect privilege escalation, container escapes, and unauthorized system activity. The project distinguishes itself through its ability to perform real-time, in-kernel enforcement, allowing it to synchronously terminate malicious processes or modify function return values before a system call completes. It provides deep Kubernetes integration

High performance and high-precision multithreaded StatsD server

Apache Atlas - Open Metadata Management and Governance capabilities across the Hadoop platform and beyond

💽 Doku - Docker disk usage dashboard

Cabot is a self-hosted incident management platform and monitoring alert manager. It serves as a centralized system for receiving external monitoring data, managing on-call responder rotations, and dispatching incident notifications to administrators to ensure prompt resolution of system failures. The platform provides a containerized monitoring interface and a REST API for programmatically creating and modifying monitoring data and incident reports. It coordinates the routing of critical system alerts and manages the scheduling of personnel for on-call rotations. The system includes capabil

Open source container update monitoring — 23 registries, 20 notification triggers, audit log, OIDC auth, Prometheus metrics, and a modern dashboard.

Visual Docker network topology explorer — single binary, zero dependencies.

The system statistics collection daemon. Please send Pull Requests here!

Cortex is an open-source, horizontally scalable metrics platform that ingests, stores, and queries Prometheus-compatible time-series data with multi-tenant isolation. It accepts metrics via Prometheus remote write and OpenTelemetry, executes PromQL queries against both recent and historical data, and provides a Prometheus-compatible alerting and recording rule engine with an integrated Alertmanager. The system is built as a set of independently scalable microservices that use hash-ring-based sharding, gossip-based cluster membership, and tenant-aware object storage to distribute workloads acro

Docker Monitoring Extension

DBND an open source framework for building and tracking data pipelines. DBND is used for processes ranging from data ingestion, preparation, machine learning model training and production.

Amundsen is a data catalog and discovery platform that provides a centralized directory for indexing tables and dashboards. It functions as a metadata management system and search engine, allowing users to locate and understand available data assets across diverse distributed sources. The platform includes capabilities for data lineage tracking to map the origin and movement of datasets between systems. It also serves as a data profiling tool, calculating distribution and quality statistics for individual table columns to provide automated insights into the nature of the data. The system man

An active monitoring software to detect failures before your customers do.

This project is a containerized orchestration layer for the Elastic Stack, providing a pre-configured set of Docker Compose files to deploy Elasticsearch, Logstash, and Kibana as a unified data analysis stack. It functions as a centralized log management system for ingesting, indexing, and searching log data using a cluster of interconnected services. The deployment pattern includes an Elasticsearch cluster manager that enables scaling data nodes through replica scaling and internal discovery. It provides a web-based administration interface for monitoring cluster health and status. The syst