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.

Over 400 technologies and thousands of smart devices from any manufacturer, unified under one roof: openHAB is the vendor-neutral home automation platform with a pluggable binding architecture. Each binding translates a device or service into openHAB's clean abstraction: Things expose Channels, Channels link to Items, and Items feed a rules engine that runs your home. That engine meets you at your skill level: Blockly gives non-programmers drag-and-drop visual logic, JS Scripting (GraalJS with the openhab-js library) is the modern text-based standard, the classic Rules DSL remains supported, and JSR223 opens the door to Python, Ruby, and Groovy. Time- and event-based triggers, scripts, notifications, and voice control compose into automations of any complexity, and users report decade-old rule sets still running rock solid. The Main UI handles configuration, semantic modeling, and now built-in charting - no external Grafana required. Built in Java on Apache Karaf's OSGi runtime and stewarded by the non-profit openHAB Foundation, it requires no cloud to function: everything runs locally, talking directly to your devices. Optional connectors bridge to Alexa, Google Assistant, and HomeKit, with iOS, Android, and web apps for control from anywhere.

Managing dozens of smart locks, dimmers, thermostats, and sensors across a Z-Wave mesh often leaves homeowners blind to routing hops, sleepy battery devices, and firmware bugs; Z-Wave JS UI solves this by delivering a comprehensive browser control panel and MQTT gateway for your USB or network Z-Wave controller. Provision new devices with SmartStart QR scanning or S2 authenticated inclusion, inspect every Command Class parameter, and push over-the-air manufacturer firmware updates straight to switches and sensors. Interactive network topology graphs map live routing neighbors, link quality, and background RSSI signal strength, while built-in health checks and an integrated Zniffer packet analyzer pinpoint RF interference before automations fail. Operators can configure direct node-to-node association groups and multicast broadcast groups so wall switches trigger lights even when the central hub is offline. Scheduled Non-Volatile Memory controller backups and pre-inclusion restore points protect your mesh against hardware failure, and the configurable MQTT Discovery and WebSocket server bridges every entity seamlessly into Home Assistant, OpenHAB, Domoticz, Jeedom, and ioBroker. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT 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.

With over 16,500 GitHub stars and a track record powering connected vehicle fleets, smart city sensor networks, and industrial IoT deployments, EMQX is the MQTT messaging platform engineered to handle 100 million concurrent device connections in a single cluster while processing millions of messages per second with sub-millisecond latency. The protocol stack supports MQTT 5.0, 3.1.1, and 3.1 with full QoS 0/1/2 support, shared subscriptions, retained messages, and will messages, plus MQTT over QUIC for faster connection setup, reduced head-of-line blocking, and seamless connection migration on mobile networks. The gateway framework extends connectivity to MQTT-SN, CoAP, LwM2M, STOMP, and ExProto for bridging legacy industrial protocols. The SQL-based rule engine processes and transforms messages in real time with over 50 pre-built integrations including Kafka, PostgreSQL, MySQL, MongoDB, InfluxDB, TimescaleDB, ClickHouse, Redis, AWS Kinesis, GCP Pub/Sub, and Azure Event Hubs. The visual Flow Designer creates data processing pipelines without code. Built on Erlang/OTP with a masterless distributed architecture using Mria for state replication, the cluster separates Core nodes for data consistency and Replicant nodes for client-handling workloads. Authentication supports username/password, JWT, PSK, X.509 certificates, and LDAP with configurable ACL rules. The built-in dashboard provides real-time monitoring of connections, subscriptions, topics, message rates, and cluster health. Deployment runs via Docker, Kubernetes with the EMQX Operator, or native packages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSL 1.1 licensed.

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.

Logging every drive, charge, and idle stretch of a Tesla to a database you own, TeslaMate shows where the battery went, including degradation, vampire drain, and charging cost. Battery health comes first: the dashboard estimates usable capacity, range lost, and degradation against mileage. Idle losses come next, with Vampire Drain listing how much charge disappears during every idle period and a States view recording every online, asleep, and offline stretch. The car is left alone to fall asleep, so logging adds no extra vampire drain. Charging sessions show curves, energy added and used, efficiency, and cost, using per-location prices attached to geo-fences drawn on a map. Each drive records second-by-second speed, power, elevation, and temperature, plotted on a route map beside tire pressure and consumption charts. Trip, Drives, Efficiency, Drive Stats, Mileage, Updates, Statistics, and a lifetime driving map fill in the rest. Live vehicle data goes out over MQTT to Home Assistant, Node-RED, and Telegram, and old history imports from TeslaFi or tesla-apiscraper. Several vehicles on one Tesla account work together, addresses are looked up automatically, and the web interface offers light, dark, or system themes in 19 languages. Sign-in uses Tesla access and refresh tokens that TeslaMate encrypts with a key you set. It works best on an always-on server. 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.

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.

Running out of filament mid-print ruins multi-hour 3D printing jobs, and Spoolman solves this by tracking every gram of plastic across your entire workshop in a centralized, self-hosted inventory database. Connected directly to Klipper, Moonraker, Mainsail, Fluidd, OctoPrint, and OctoEverywhere, the service deducts filament weight automatically over live WebSockets as your extruders run. You can import manufacturer specifications from the community SpoolmanDB catalog, filter your library by color similarity or material type, and organize spools on a drag-and-drop board grouped by storage location or custom fields. A built-in label designer generates printable QR code sheets containing spool metadata, while NFC and RFID tag scanning lets you tap a physical roll against an ESPHome reader or Android phone to pull up its record immediately. Multi-printer workshops can monitor concurrent consumption from several machines simultaneously, expose inventory metrics to Prometheus and Home Assistant, and query stock levels through a Model Context Protocol (MCP) server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Command and automate your entire fleet of 3D printers without relying on proprietary cloud services using Bambuddy, a self-hosted management hub that delivers local network control, print scheduling, and job archiving for Bambu Lab hardware. Print shop operators can route slicing output directly from Bambu Studio or Orca Slicer through virtual printer proxies that emulate physical machines while automatically cataloging print files in a searchable 3D repository. The automated dispatch engine assigns queued gcode files to available printers based on required nozzle temperatures, build plate dimensions, and matched multi-color filament slots. Users can inspect live camera streams across multiple printing beds simultaneously, verify empty build plates before dispatching new jobs, and generate stabilized timelapse videos with custom music. Integrated smart plug connectors automatically cut power to idle machines when print cycles finish and trigger push notifications to Discord or mobile devices if thermal anomalies or mechanical pauses occur. Farm managers can schedule maintenance alerts based on cumulative motor runtime, track spool inventory levels across storage locations, and synchronize printing configurations across duplicate hardware setups. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GNU AGPL v3.0 licensed.

That yogurt hiding behind the ketchup expired three weeks ago, and the flour you bought "just in case" has been sitting in the pantry since last winter. EverShelf replaces mental guesswork with a structured inventory system that tracks every item across pantry, fridge, freezer, and custom locations with precise quantities, expiry dates, and consumption patterns. Scan barcodes with your phone camera to add products instantly, or let the Gemini AI identify items from a photo and estimate shelf life based on storage location. The dashboard surfaces expired items and upcoming expirations with color-coded urgency badges, while anomaly detection flags suspicious quantities and consumption predictions that deviate from your history. Opened products get reduced shelf-life calculations; vacuum-sealed items get extended dates automatically. The recipe engine generates context-aware meal suggestions from your current inventory, prioritizing ingredients approaching expiry so nothing goes to waste; each recipe includes step-by-step cooking mode with text-to-speech narration and timer integration. A smart shopping list auto-populates when stock hits zero and syncs bidirectionally with the Bring! app, with AI-estimated prices per item and consumption forecasts showing when you will need to restock. For Home Assistant users, a native HACS integration provides 22 sensors, expiry calendars, bidirectional todo-list sync, and voice assistant support for adding items hands-free. A dedicated Kiosk mode optimizes the interface for wall-mounted tablets with BLE scale integration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Grocy is a household management system, bringing ERP-grade inventory tracking to kitchens, pantries, and homes worldwide. The stock management system tracks products with expiration dates, best-before dates, and opened tracking, while barcode scanning via USB readers or device cameras with Open Food Facts product lookup enables rapid item entry. Minimum stock amounts trigger automatic shopping list entries so frequently used products never run out, and multiple shopping lists can be maintained and shared across household members. Recipe management links ingredients directly to stock inventory, showing at-a-glance fulfillment status and a Due Score that highlights recipes best suited for consuming items approaching expiration. The meal planner organizes daily meals across customizable time periods and adds all missing ingredients to shopping lists with one click. Chore tracking schedules recurring household tasks with assignment to specific members, due date tracking, and completion history logging. Battery management monitors charge cycles for household devices with configurable reminder intervals. Custom fields and userfields extend any entity with additional data, while feature flags disable unused modules to simplify the interface. The RESTful API with integrated Swagger UI at the /api endpoint exposes every operation the web frontend uses, enabling third-party integrations with home automation systems. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Your household's kitchen command center: shared grocery lists that sync in real-time across everyone's phones, a recipe book that imports from 500+ websites with one tap, a weekly meal planner that auto-generates shopping lists, and expense tracking that splits costs between roommates or family members. Native apps for Android, iOS, macOS, Windows, Linux, and web provide partial offline support so the list works even in store dead zones. The recipe-scrapers library with wild mode fallback handles imports from virtually any cooking site, extracting ingredients, steps, and images automatically — then converts recipe ingredients directly to shopping items with a single tap. Smart suggestions learn from your patterns over time, ordering items by your typical store route and recommending frequently purchased products. OpenID Connect authentication supports Google, Apple, Authelia, and custom providers. LLM-powered ingredient parsing uses configurable AI models for intelligent recipe text extraction. A Home Assistant integration enables voice-controlled list management via smart speakers. The REST API with a published Python client library allows third-party automation. Multi-language support covers 30+ languages through Weblate community translations. 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.

Recurring household chores and shared team checklists stay on schedule when Donetick coordinates assignments, reminders, and completion tracking from one self-hosted hub. Type a phrase like "change water filter every 6 months" and the natural-language parser extracts the due date and cadence automatically. Adaptive scheduling even adjusts future intervals from your actual completion history. Rotation rules distribute tasks fairly across family members or roommates via round-robin, random, or least-completed logic. Nested subtasks reset themselves each cycle. Finished chores earn points in the built-in gamification engine that members redeem in an admin-approved reward store. Stateful "Things" track numerical, boolean, or text metrics to trigger tasks automatically when values change. Tap physical NFC tags to check off chores on the spot, or mount a dedicated kiosk dashboard on a wall tablet for one-tap account switching. Real-time updates sync across devices alongside iCal calendar feeds, Home Assistant cards, OIDC single sign-on, and Pushover or Telegram notifications. 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.

High-resolution weather forecasts became a free commodity because of Open-Meteo - and this deployment puts the whole open-source engine on your own infrastructure. The public open-meteo.com service aggregates national weather models (NOAA GFS, DWD ICON, ECMWF, Meteo-France, and others) into one consistent JSON interface; self-hosting gives you that same API without rate limits, third-party dependency, or usage metering. The architecture is two cooperating services: the API server exposes forecast endpoints fully compatible with Open-Meteo query parameters - latitude, longitude, hourly and daily variables like temperature, precipitation, wind, and radiation - while a background sync worker downloads fresh weather model data on a configurable interval into a shared persistent volume at /app/data, so forecasts stay current and survive restarts without re-downloading. You control which weather models to mirror, which variables to store, how much historical depth to keep, and how often to refresh - meaning a lean deployment can sync only the model and region you actually query. Responses are plain HTTP/JSON, so integration with dashboards, Home Assistant-style automations, agricultural monitoring, IoT fleets, or any application takes minutes. For anyone making thousands of forecast calls a day, replacing a metered weather API with your own instance turns a recurring bill into a flat infrastructure cost.