OpenSearch is a search and analytics platforms, powering full-text search, log analytics, observability, and AI-powered vector retrieval at petabyte scale. The distributed engine provides BM25 full-text search alongside k-NN vector search using NMSLIB, Faiss, and Lucene libraries, enabling semantic search, hybrid search combining keyword and vector scoring through normalization processors, neural sparse search, and retrieval-augmented generation workflows with built-in ML Commons for model hosting. OpenSearch Dashboards delivers interactive visualization with Discover for log exploration, custom dashboards, alerting, anomaly detection using Random Cut Forest algorithms, and Security Analytics with detection rules mapped to MITRE ATT&CK. Native Prometheus integration with full PromQL support unifies metrics alongside logs and traces in a single observability interface, while Data Prepper handles telemetry ingestion from OpenTelemetry collectors, Fluent Bit, and Logstash-compatible pipelines. SQL and Piped Processing Language queries with a visual PPL builder enable analysts to query data without learning the native DSL. Index State Management automates index lifecycle with rollover, shrink, and delete policies, while cross-cluster replication and searchable snapshots on S3-compatible storage provide disaster recovery. Scoped API keys, field-level security, document-level security, and audit logging deliver enterprise-grade access control. Docker Compose deploys multi-node clusters alongside the Kubernetes operator for orchestrated production environments. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Powering distributed teams seeking full visibility into work patterns and productivity, Ever Teams is an open-source platform unifying time tracking, task management, project coordination, and team collaboration in a single self-hosted application. The real-time timer tracks work against tasks and projects with one-click start/stop, while the Electron desktop app captures periodic screenshots at configurable intervals, monitors keyboard and mouse activity levels, detects idle periods, and syncs offline sessions automatically. Kanban boards with drag-and-drop, calendar views, and daily planning tools organize work across custom statuses, priorities, and sizes. Built-in video conferencing powered by Jitsi or LiveKit enables meetings without leaving the platform. Timesheet management supports submission, review, and approval workflows with configurable time limits and budgets. The backend runs on the Ever Gauzy NestJS platform providing REST and GraphQL APIs, multi-tenant architecture with organization and team scoping, role-based access control, and an integration framework connecting GitHub issues and pull requests bidirectionally plus JIRA import and sync. Infrastructure includes PostgreSQL, Redis for caching and pub/sub, MinIO for S3-compatible storage, Elasticsearch for full-text search, and Cube.js for OLAP analytics. Built with Next.js 16, React 19, Tailwind CSS, and Recoil, with native iOS and Android clients via Expo, Electron desktop apps for Windows, macOS, and Linux, and Plasmo browser extensions for Chrome and Firefox. Internationalization spans 13-plus locales with dark, light, and system themes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL v3.0 licensed.

Arcane gives you a single polished dashboard to manage Docker containers, images, volumes, networks, and Compose projects across unlimited remote hosts. The SvelteKit frontend paired with a Go backend delivers real-time resource monitoring with historical graphs, container lifecycle controls including shell exec and live log streaming, and one-click Docker Compose deployment with Git repository synchronization for version-controlled stack definitions. The manager-agent architecture connects remote environments via Direct TCP on port 3553 or Edge mode where agents initiate outbound gRPC/WebSocket connections through NAT and firewalls without requiring inbound ports, all secured with mTLS certificates. Vulnerability scanning identifies security issues in running container images directly from the interface. The backup system enables scheduled container snapshots with configurable retention for disaster recovery. Network and volume administration includes visual relationship mapping between services, and the responsive interface supports dark/light themes with full mobile optimization and community-driven internationalization via Crowdin. 6,500+ stars and 89 releases since April 2025 reflect a rapid development cadence. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-3-Clause licensed.

Instead of deploying proprietary background agents across dozens of target nodes, engineers rely on Apache HertzBeat to monitor real-time infrastructure health, metrics gathering, threshold alerting, and public status pages from a central operations platform. Operations teams can poll hundreds of target services without deploying proprietary background daemons, gathering performance data across Linux hosts, Kubernetes clusters, SQL databases, and network switches using native connection protocols. Engineers can define custom monitoring targets directly within the web dashboard by composing declarative YAML templates that specify polling intervals, parsing expressions, and metric extraction rules. The centralized alert engine processes inbound threshold events, suppresses cascading alert storms during maintenance windows, and dispatches actionable incident notifications to Discord channels, Slack rooms, Telegram groups, and webhook endpoints. Telemetry streams flow into interactive charts with customizable refresh cadences, enabling site reliability engineers to inspect latency waterfalls, correlate log spikes against CPU exhaustion, and track disk capacity trends over extended timeframes. Administrators can also publish real-time public status pages that inform external stakeholders about service availability, scheduled downtime, and ongoing incident resolutions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Over a million active instances make OctoPrint the standard web interface for consumer 3D printers - Gina Häußge's Python application, the center of the printing world since 2012. It talks to your printer over USB serial and turns every browser into a control panel: upload, organize, and start G-code prints; watch hotend and bed temperature graphs in real time; drive the print head manually; adjust feed rate, flow, and fan speed mid-print; and hit an emergency stop if things go wrong. The G-code visualizer renders the current layer in sync with the job, and a connected webcam adds a live feed plus automatic timelapse recording of every build. What keeps OctoPrint ahead is its plugin ecosystem - 300+ community plugins installable from the built-in manager. Highlights include Obico's AI spaghetti detection that pauses failed prints automatically, OctoEverywhere for tunnel-based remote access, Bed Level Visualizer's 3D mesh of your bed surface, PrintTimeGenius for accurate time estimates, Exclude Region to abandon one failed object mid-print while others continue, and Firmware Updater to flash Marlin or Klipper without SD-card shuffling. Event hooks fire notifications when prints finish or fail, and a full REST API supports slicer integration and custom automation. AGPL-licensed.

A status page and uptime monitor in one Go binary: Statping-ng - the actively maintained fork of Statping - replaces the UptimeRobot-plus-Statuspage combo with a ~20 MB Docker image using under 50 MB of RAM. It checks services over HTTP, TCP, UDP, ICMP ping, and gRPC health checks on configurable intervals, with per-service timeouts, expected status codes, POST requests with custom JSON bodies, SSL verification, and failure thresholds before alerting. The public status page is the differentiator against plain monitors: visitors see live status, uptime percentages, and latency charts grouped into service categories, with incident announcements and scheduled-maintenance messages you publish from the dashboard - and Sass-based custom styling matches the page to your brand rather than a vendor template. When something fails, notifiers fire immediately: Slack, Discord, Telegram, SMTP email, PagerDuty, Twilio SMS, Pushover, and custom webhooks, each testable before saving. Because notifiers are single Go files, the plugin system makes new channels straightforward. A RESTful API manages services and reads uptime data programmatically, and the free Statping mobile app connects to your server via QR code for on-the-go monitoring. Data persists to SQLite, MySQL, or PostgreSQL. Point it at internal services too - anything the container can reach is monitorable.

Coroot uses eBPF to capture metrics, distributed traces, logs, and continuous CPU profiles directly from the Linux kernel, delivering full observability without any application code changes, SDKs, or sidecars. From the first minute of deployment, an automatically generated service map covers every microservice, database, message queue, and external dependency with request rate, error rate, and latency measurements. When a service breaches its SLO, AI-powered inspections analyze telemetry across all dimensions to pinpoint the root cause and send a single consolidated alert with findings, replacing the flood of fragmented notifications typical of traditional monitoring. Deployment tracking automatically discovers Kubernetes rollouts and compares each release against the previous one to detect performance regressions, resource spikes, and cost impacts without CI/CD pipeline integration. Continuous profiling captures CPU flame graphs down to the line of code with negligible overhead. Integrated cost monitoring tracks cloud spending across AWS, GCP, and Azure, attributing expenses to individual services and deployments. Coroot supports Prometheus, OpenTelemetry, and ClickHouse as data sources and works identically on Kubernetes clusters, virtual machines, and bare-metal hosts. 7,700+ GitHub stars. Apache-2.0 licensed.

Plex's own dashboard shows current streams and forgets everything else - which is why every Plex server admin eventually installs Tautulli, the analytics layer. This Python web application (descended from PlexWatch and Headphones) logs complete watch history - what was watched, who watched it, when, where, from which device and IP, and whether it played directly or transcoded - and turns it into clean Highcharts graphs of daily plays, concurrent streams, bandwidth, and platform breakdowns. The home page surfaces top statistics over configurable windows: most-watched content, most active users, stream type ratios. For running a server shared with family and friends, this is operational truth: spot the user forcing 4K transcodes on a phone, see which libraries earn their disk space, and track sync activity across users. The notification engine triggers on server events - playback starts, transcode decision changes, recently added media, server down - through dozens of agents (Discord, Telegram, Slack, email, webhooks) with fully customizable text and conditions, plus arbitrary script execution. Scheduled newsletters email your users a styled digest of recently added content. A comprehensive API exposes every statistic for dashboards like Homarr, and an official mobile app monitors activity on the go. Themed to match Plex/Web. GPL-licensed.

Managing Kubernetes shouldn't require every developer to become a Kubernetes expert — KubeSphere wraps cluster operations, CI/CD, service mesh, and observability into guided web workflows that operations teams configure once and developers consume without kubectl. The LuBan extensible architecture treats each capability as an independently installable extension plugging into a lightweight microkernel: enable DevOps without service mesh, add monitoring without the app store, compose exactly what your organization needs. Multi-cluster management provides a centralized control plane for provisioning and operating clusters across cloud providers, data centers, and edge locations with unified identity and resource quotas. The DevOps extension integrates Jenkins for graphical pipeline creation with S2I and B2I workflows, while Argo CD powers GitOps continuous deployment with real-time sync status. Istio-based service mesh provides traffic management, canary deployments, circuit breaking, and distributed tracing through the console without CLI knowledge. Prometheus monitoring with custom dashboards, Fluentd log collection with multi-tenant search, and alerting via Slack and email complete the observability stack. Multi-tenant workspace hierarchy enforces resource quotas and fine-grained RBAC roles across teams. A built-in Helm-based app store handles lifecycle management across clusters. KubeKey deploys production-grade clusters on bare metal or VMs with air-gapped support. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

With over 430 GitHub stars and designed for DevOps engineers, platform teams, and homelab operators, Sencho is the self-hosted Docker Compose control plane that gives you a real operational cockpit without abandoning file-on-disk compose workflows. The web dashboard provides live CPU, memory, and disk sparklines per container, one-click start/stop/restart controls, and a Monaco-powered YAML editor with syntax highlighting, inline diff, and one-click rollback. Compose files remain the source of truth on the host filesystem. Multi-node management connects remote Sencho instances via authenticated HTTP and WebSocket proxy using long-lived API tokens, with no SSH access or exposed Docker sockets required. The Pilot Agent establishes an outbound-only WebSocket tunnel for nodes behind NAT, CGNAT, or strict firewalls. Blueprints define compose intent once and deploy it across label-targeted nodes, with drift detection keeping the fleet aligned. Fleet Federation provides cordon and pin controls for maintenance windows, while Fleet Actions execute bulk deploy, stop, and restart operations by stack label across the entire infrastructure. The security suite includes Trivy vulnerability scanning, deploy enforcement policies, SARIF and SBOM export, and Fleet Sync to replicate scan policies across replicas. Additional capabilities include 199+ one-click app templates, Git source integration, atomic deploys with auto-rollback, auto-heal, scheduled operations, webhooks, and custom S3 off-site backups to MinIO, R2, B2, or AWS. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

A single pane of glass for every service you run, arranged by drag-and-drop with no YAML or JSON files: Homarr is the modern dashboard for self-hosted infrastructure. Its grid system arranges apps, widgets, and bookmarks on desktop or touch, backed by an icon picker with over 11,000 icons. What separates Homarr from static launchers is 50+ live integrations: Plex, Jellyfin, and Emby media stats, the *arr suite (Sonarr, Radarr) with a unified release calendar, download clients, Pi-hole and AdGuard Home controls, Proxmox, Home Assistant, OPNsense, and Unifi monitoring. Widgets update in real time over WebSockets (tRPC and Redis under the hood), and a built-in search queries thousands of data points across connected services. Custom widgets extend the reach to any HTTP API without code: define endpoint, auth, and refresh interval in the management UI, then render responses as stat grids, tables, progress bars, status indicators, action buttons, or full custom JSX layouts - with an AI-prompt helper for generating templates. Multi-user support is first-class: credentials, OIDC, or LDAP sign-on, groups with granular permissions, and secrets encrypted with AES-256-CBC. A robust background-job system scales it from a Raspberry Pi homelab to deployments serving hundreds of users.

Backed by Y Combinator (S24) and processing traces from thousands of AI agents in production, Laminar is the open-source observability platform that treats agent debugging as a first-class engineering discipline rather than an afterthought. Its OpenTelemetry-native SDK auto-instruments Vercel AI SDK, LangChain, OpenAI, Anthropic, Gemini, Browser Use, Stagehand, Mastra, Pydantic AI, and the OpenAI Agents SDK with a single line of code, capturing every LLM turn, tool call, and sub-agent delegation as nested spans with full input/output data and token costs. The Signals engine lets you describe failures in plain language — "agent is stuck in a loop" or "tool returned empty results" — then reads every trace and alerts via Slack when it detects a match. A built-in debugger records runs and replays them from cache so each iteration takes seconds, designed for Claude Code, Cursor, or Codex to drive the repair loop via the MCP server or CLI. Run code-first evaluations in Python or TypeScript locally or in CI/CD pipelines, build datasets from production traces, and query everything with raw SQL through custom dashboards, the in-app editor, or your coding agent. The Rust backend delivers 20x trace compression, a custom real-time streaming engine, ultra-fast full-text search, and gRPC ingestion, while ClickHouse powers columnar analytics and PostgreSQL stores application state. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Parseable replaces expensive Elasticsearch clusters and fragmented monitoring stacks with a single Rust binary that ingests, queries, and stores logs, metrics, and traces on commodity object storage at a fraction of the cost. The data lake architecture decouples stateless compute from S3-compatible storage, enabling independent scaling of ingestion throughput and query capacity while cutting storage costs by up to 90% compared to indexed alternatives. OpenTelemetry-native OTLP ingestion accepts telemetry from existing OTel collector pipelines, Prometheus Remote Write endpoints, Kafka consumers, eBPF probes, and popular logging agents including Fluentd, Fluent Bit, and Vector without proprietary format conversions. The SQL-first query interface enables cross-signal analysis across all telemetry types, while native PromQL support with 50+ functions and 12 aggregation operators provides Prometheus-compatible metrics querying that works directly with Grafana dashboards. Built-in features include customizable dashboards, real-time alerting with Webhook, Slack, and Alertmanager targets, role-based access control, OpenID single sign-on integration, LogIQ automatic unstructured-to-structured log transformation, smart caching for frequently accessed data, and retention policies for lifecycle management. AI-powered Keystone Q&A provides natural language to SQL conversion and dataset summarization. All data stored as standard Apache Parquet on object storage remains accessible to any Parquet-compatible engine (DuckDB, Spark, Trino), ensuring zero vendor lock-in. Deploys on AWS S3, Azure Blob, Google Cloud Storage, MinIO, Wasabi, and DigitalOcean Spaces. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Website analytics, uptime monitoring, and server status - three tools most teams run separately - combined in Tianji, an open-source observability platform. The analytics layer tracks page views, unique visitors, referrers, and UTM parameters with a lightweight cookie-less script, which keeps collection GDPR and CCPA friendly. The uptime monitor checks availability and latency on configurable intervals, accepts passively reported results, and publishes public status pages for incident communication. Server status agents report CPU, memory, disk, and network metrics with threshold-based alerts, and notifications route through webhooks, Slack, Telegram, and other channels with noise control. It also includes anonymous telemetry for tracking deployments of your own open-source projects, surveys, waitlists, team collaboration, and an OpenAPI interface for integrations and exports. The consolidation is the point: traffic analytics, uptime checks, and server metrics share one interface and one alerting layer, so diagnosing an incident does not mean hopping between Google Analytics, Uptime Kuma, and Prometheus - and the built-in public status pages replace a separate paid Statuspage-style subscription. Because collection uses no cookies with IP truncation and aggregation by default, basic traffic measurement requires no consent banner. Built in TypeScript under the Apache 2.0 license and inspired by Umami and Uptime Kuma, it is deliberately right-sized for independent developers and small SaaS teams whose monitoring needs are real but lightweight.

Your AI application is burning through API tokens faster than you can refresh the billing page, and you have no idea which prompt template is responsible. OpenLIT plugs that visibility gap with a self-hosted observability platform built specifically for LLM workloads. Add one line of code to instrument 90+ LLM providers, agent frameworks, and vector databases, then watch every request flow through a tracing dashboard that shows tokens consumed, latency measured, and dollars spent per call, per model, per environment. The requests view lists every LLM interaction with provider, model, cost, and token breakdown in a filterable table, while the trace detail panel lets you drill into individual spans to read the exact prompt sent and response received. Prompt Hub turns prompts into versioned artifacts you deploy, rollback, and A/B test without touching application code. OpenGround compares models side by side on the same input, so you can evaluate cost-versus-quality tradeoffs before committing to a provider. Automated evaluations run LLM-as-a-judge scoring on live production traces, flagging hallucinations, bias, and toxicity in real time. The Vault stores and rotates API keys centrally so secrets stay out of your codebase. Custom dashboards let you build drag-and-drop monitoring views with charts, stat cards, and tables backed by SQL queries against ClickHouse. GPU utilization, memory, temperature, and power metrics feed into the same platform for end-to-end infrastructure visibility. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Powering trading floors at firms processing millions of market data events per second and trusted by organizations including Airbus, Yahoo, and Copenhagen Atomics, QuestDB has earned over 17,000 GitHub stars as the time-series database that refuses to make you choose between ingestion speed and query latency. The column-oriented, time-partitioned storage engine processes millions of rows per second on ingest through write-ahead logging with instant durability, while SIMD-accelerated parallel execution returns analytical queries over billions of rows in milliseconds. Time-series SQL extensions add ASOF JOIN for point-in-time lookups across tables with misaligned timestamps, SAMPLE BY for downsampling at arbitrary time intervals, LATEST ON for last-value queries, and WINDOW JOIN for sliding window aggregations — all through standard SQL syntax accessible via the PostgreSQL wire protocol, REST API, or the QuestDB Wire Protocol (QWP) that streams Apache Arrow at 220 million rows per second. Multi-tier storage automatically moves data from the WAL through native columnar format to Parquet files on S3-compatible object storage, keeping hot data fast and cold data portable without manual tiering. The built-in web console provides an interactive SQL editor with syntax highlighting, autocomplete, and charting for quick data exploration. Views, materialized views, and n-dimensional arrays support real-time analytics, while native Parquet export enables direct integration with Python, DuckDB, and AI/ML frameworks. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

RocketplaneIO is a self-hosted AI SRE platform that gives Kubernetes clusters zero-instrumentation eBPF observability plus a copilot capable of safely diagnosing and fixing issues without your telemetry ever leaving your infrastructure. Point it at any cluster, and an eBPF DaemonSet starts capturing HTTP, gRPC, SQL, Redis, and Kafka spans across every service, including compiled binaries, with cross-service context propagation and no code changes required. The live service map draws itself from actual network traffic, matching technology logos from container images and coloring each node's health from RED metrics. Every log line sits two clicks from its parent distributed trace, and a PromQL query engine, embedded from the real Prometheus evaluator, runs over ClickHouse for long-term metric retention. The complete Kubernetes inventory (Services, Ingress, ConfigMaps, network policies, persistent volumes, CRDs) syncs continuously and is searchable alongside traces and logs. When the copilot identifies a problem, it picks from a catalog of roughly 30 risk-classified safe actions; each action verifies its preconditions, captures a before-state snapshot, executes, checks the result, and rolls back automatically on failure. Disruptive operations pause for explicit human approval before proceeding. An MCP endpoint exposes the identical guardrailed toolbox to external AI agents, so Claude Code or Cursor can operate the cluster through the same safety boundary the browser copilot uses. Complex remediations compose as searchable, forkable Starlark workflows that compile deterministically at save. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Moneat is the open-source observability platform that unifies error tracking, session replay, performance monitoring, logging, uptime checks, synthetics, product analytics, and AI observability into a single self-hosted application — replacing Sentry, Datadog, and Statuspage with one deployment. The Sentry SDK compatibility layer accepts data from @sentry/browser, @sentry/node, @sentry/react, @sentry/nextjs, sentry-sdk for Python, sentry-kotlin, sentry-java, sentry-android, sentry-cocoa, sentry-go, sentry-ruby, and Sentry.NET by updating one DSN endpoint. Datadog Agent compatibility redirects existing fleets by setting dd_url, and native OpenTelemetry OTLP ingestion accepts logs, traces, and metrics from any exporter or Collector. Error monitoring groups exceptions with smart deduplication, session replay records DOM-based user interactions linked to errors, distributed tracing visualizes transaction and span breakdowns with live service maps, and continuous profiling renders flamegraphs in pprof, JFR, and Sentry formats. Uptime monitoring runs HTTP, TCP, and ping checks with public status pages, while synthetics executes API tests, multi-step workflows, SSL checks, and DNS probes. Custom dashboards support drag-and-drop widgets with Grafana import, product analytics provides funnels and retention cohorts, release tracking surfaces crash-free rates with source map upload, and AI observability traces LLM calls end to end. Built on Kotlin and Java with ClickHouse for analytical storage, PostgreSQL for relational data, and Redis for caching, deployment uses Docker Compose with an interactive installer automating secrets and service orchestration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.