Homeowners and facility operators deploy Viseron to turn standard RTSP and ONVIF security cameras into a self-hosted network video recorder with local AI object detection, face recognition, and license plate reading. Instead of uploading private camera feeds to subscription cloud services, you monitor low-latency WebRTC live streams, scrub through an interactive event timeline, and review 24/7 continuous recordings directly from a responsive web dashboard. You can draw custom detection zones and privacy masks in the visual camera tuning editor to filter out street traffic, while lookback buffering captures footage several seconds before motion or an object triggers an event. Pluggable computer vision pipelines connect your cameras to YOLOv7 Darknet, Google Coral EdgeTPU, CompreFace, dlib, and CodeProject.AI to classify people, vehicles, known faces, and license plates in real time. Tiered storage policies automatically migrate older video segments from fast NVMe drives to high-capacity archival disks based on age and quota rules. Bidirectional MQTT integration and Home Assistant auto-discovery let you toggle cameras on demand, ingest external motion sensors, and dispatch instant snapshot alerts to Telegram or Discord. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Plotting live flights, earthquakes, wildfires, satellites, and news streams on one night-mode map, OSIRIS gives open-source intelligence work a single browser tab to live in. Sixteen layers toggle on and off with live entity counts. Aviation covers commercial, private, and military traffic. Ports and chokepoints, severe weather, space weather, and 15 hand-curated conflict zones get layers too. More than 17,000 public cameras open in a viewer when you click a pin. Draw a region, list every camera inside it, and export the set as GeoJSON. Twenty-three live news streams open from dots on the map. Double right-click anywhere for a Region Dossier with the place, country facts, head of state, and a Wikipedia summary. A Markets terminal follows indices, stocks, oil, commodities, currencies, and crypto, with a watchlist. Live Alerts sorts headlines, warnings, and quakes into searchable tabs. The Recon toolkit runs DNS, WHOIS, certificate, and subdomain lookups, searches the OFAC sanctions list, and traces BTC and ETH wallets. OI, the built-in assistant, flies the map to a place and switches layers on from typed or spoken requests. Its Forecast mode plays competing actors against each other in parallel simulated worlds and writes a sourced prediction on your own model key. Six preset themes restyle the whole interface. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

OpenRemote is an IoT platform that models every building, EV charger, solar panel, and street light as an asset in one tree, then maps, charts, and automates them from a single web dashboard. Define your own asset types, and give each attribute live readings, writable setpoints, history, and forecasts. Connect hardware with protocol agents for HTTP, MQTT, Modbus, KNX, Z-Wave, LoRaWAN, SNMP, and serial, discovering devices or importing project files where the protocol allows. Plot assets on a map with live position and heading, tint markers by attribute value, and add geofences and GeoJSON layers. Automate with When-Then rules, a drag-and-drop Flow editor, or Groovy and JavaScript rules, and run them on a schedule. Raise e-mails, push notifications, webhooks, or assignable alarms from the result. Compose shareable dashboards in Insights from nine widget types, including charts, KPIs, gauges, maps, and tables. Give each customer a realm with its own users, roles, and white-label branding. Sync edge gateways to a central instance and open them remotely through tunnels. Let devices with X.509 certificates register themselves. Read and write every attribute over REST, MQTT, or WebSocket, and let AI assistants manage assets in plain language through the MCP server. Typical projects span smart cities, building and energy management, and equipment fleets, in an interface that speaks nine languages. 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.

Your house already has lights, locks, sensors, thermostats, and speakers from many brands, and Home Assistant gives them one local control room with no vendor cloud in the loop. To close the shutters when the outdoor temperature holds above 25 °C, or to be alerted when the garage door is left open, build the routine in the visual editor: When, And if, Then do. Scenes, scripts, and blueprints package it for reuse, and run traces show what it did. More than 1,500 integrations cover Zigbee, Z-Wave, Matter, Thread, MQTT, ESPHome, Bluetooth, Hue, and Sonos, and network discovery offers known devices for one-step setup. To see the house at a glance, drag tile, thermostat, gauge, graph, and map cards into a dashboard, then put it on a TV with Home Assistant Cast. The Energy dashboard answers where the power goes, drawing solar, grid, battery, gas, and water as one distribution diagram with cost totals and per-appliance tracking. To talk to the house, use Assist: natural-language commands, wake words, and custom sentences run locally or through Home Assistant Cloud. The map panel shows who is home, plotting people against zones such as Home, Work, and School from the iOS and Android companion apps. Areas and labels keep large setups tidy, and multi-factor authentication guards each account. 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.

Wire nodes together in a browser, deploy in one click, and real-time data flows from sources through transformations to outputs: Node-RED is the OpenJS Foundation's flow-based programming tool for event-driven applications. Born at IBM as a proof-of-concept for manipulating MQTT topic mappings, it has become the lingua franca of IoT and automation glue - home automation, industrial control, edge data collection - with a community library of over 5,000 contributed nodes and flows covering protocols, devices, and services. Where visual wiring runs out, JavaScript function nodes written in a rich in-editor code editor take over, and every flow serializes to importable, exportable JSON that shares cleanly and version-controls sensibly. Version 5.0 (2026) delivered the largest editor overhaul in the project's history: a rethought layout with Explorer and Information panels in a split sidebar, a native dark theme with theme variants, improved accessibility, and refreshed node appearance. The runtime is lightweight Node.js, exploiting the event-driven non-blocking model so the same flows run on a Raspberry Pi at the network edge or a cloud VM. Apache-2.0 licensed with 240+ contributors, it pairs naturally with dashboard nodes for live charts and controls.

Monitoring everything from network switches to Kubernetes clusters since 2001 with over 6,200 GitHub stars and deployments exceeding 100,000 devices per installation, Zabbix has established itself as one of the most mature and feature-rich open-source monitoring platforms available, trusted by organizations including Dell, Salesforce, ICANN, and T-Mobile. The platform collects metrics from virtually any source using Zabbix Agent written in C, Zabbix Agent 2 written in Go with native plugin support, SNMP v1/v2c/v3 polling and trapping, IPMI for hardware health, JMX for Java applications, SSH and Telnet checks, HTTP/HTTPS polling, and ODBC database queries. Version 7.0 LTS introduced synthetic browser monitoring that executes user-defined JavaScript via WebDriver to simulate multi-step user interactions on websites, proxy load balancing with automatic host redistribution across proxy groups for high availability, in-memory proxy data buffering delivering up to 100x performance improvement, native multi-factor authentication with TOTP and Duo support, and just-in-time user provisioning from SAML and LDAP. Low-level discovery automatically detects file systems, network interfaces, SNMP OIDs, VMware resources, and Kubernetes pods, creating monitoring items and triggers dynamically. The alerting engine correlates events with configurable escalation chains, sending notifications through Slack, Microsoft Teams, PagerDuty, Jira, email, and SMS with customizable message templates. Over 1,000 official templates provide instant monitoring for Linux, Windows, VMware, AWS, Azure, Docker, PostgreSQL, MySQL, Apache, Nginx, and hundreds more. 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.

The de facto dashboard of observability: Grafana is the open-source frontend that turns the data stores you already run into interactive graphs. It does not store metrics itself; it connects to the data stores you already run and turns their contents into interactive dashboards. Supported sources number over 150 via plugins: Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, MySQL, PostgreSQL, Microsoft SQL Server, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, and many more. Dashboards are built from a large library of panel types (time series, heatmaps, tables, gauges, logs) with template variables for reusable, parameterized views. Unified alerting evaluates rules against any connected data source, not just Prometheus, and routes notifications to Slack, PagerDuty, email, and other channels with grouping and silencing - unlike Prometheus Alertmanager, a single rule can combine a Loki log pattern, a PostgreSQL query result, and a CloudWatch metric. Dashboards serialize to JSON and data sources configure via provisioning files, so the entire observability setup can live in Git and deploy repeatably across environments. Explore mode adds ad-hoc querying outside dashboards, with split view for correlating a metric spike against the matching log lines, and access control spans organizations, teams, folder permissions, and OAuth, LDAP, and SAML integration. Written in Go and TypeScript, AGPL-licensed. Self-hosting gives you unlimited users, dashboards, and queries at flat hosting cost, without Grafana Cloud's usage-based pricing.

Real-time alerts from your own infrastructure to your phone, with no Firebase, Pushover, or third-party push service in the path: Gotify is a simple, self-hosted notification server written in Go. The model is deliberately minimal: senders push messages with a single HTTP POST to the REST API, receivers subscribe over a WebSocket stream, and a clean React web UI manages the pieces. Senders are namespaced as "applications," each with its own token, so your backup script, Uptime Kuma, CI pipeline, and cron jobs each get an identity, an icon, and independently revocable credentials - centralized alerting from many services with per-source management. Messages carry a title, body, and priority level that maps to notification importance on the client. The official Android app (on both F-Droid and Google Play, notable for working entirely without Google Play Services) shows push notifications for new messages; the web UI itself supports Web Push in the browser; and gotify/cli pushes messages from shell scripts with one command. A server-side plugin system adds custom behavior, and the whole thing runs as a single small binary with SQLite by default - near-zero resource footprint. Because dozens of tools (and Apprise) speak Gotify natively, it slots in as the notification hub for an entire homelab or ops stack.