Kuzzle ships a production-ready backend from day one: data storage with Elasticsearch search, real-time pub/sub notifications, user authentication, role-based permissions, and a multi-protocol API serving HTTP, WebSocket, and MQTT simultaneously on port 7512. Rather than rebuilding these standard features from scratch for each project, you get a ready-made backend that accepts connections from web applications, mobile clients, and IoT devices through one unified API surface. Elasticsearch provides persistent document storage with full-text search, geospatial queries, and aggregation pipelines, while Redis handles internal caching and memory storage operations. The Koncorde real-time engine powers pub/sub messaging and database notifications, enabling clients to subscribe to document changes with filter conditions that trigger instant updates when matching data is created, modified, or deleted. User management includes JWT-based authentication, role-based access control with granular permissions at the controller and action level, and pluggable authentication strategies via Passport.js. The extensible plugin framework allows developing custom business logic, additional authentication providers, storage connectors, and protocol handlers. Client SDKs for JavaScript, Dart, Kotlin, and C++ accelerate frontend development, while the Kourou CLI provides command-line API access and project scaffolding. The Vue.js Admin Console offers a web interface for managing indexes, collections, documents, users, profiles, and roles. Horizontal scaling through masterless cluster mode targets 99.99% uptime without single points of failure. 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 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.

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 31,600 GitHub stars and thousands of production deployments, InfluxDB 3 Core is the open-source time series database rebuilt in Rust on the FDAP stack — Apache Flight for high-throughput data transfer, DataFusion for vectorized SQL query execution, Arrow for columnar in-memory representation, and Parquet for compressed columnar storage. The engine delivers sub-10ms query response times on recent data and handles millions of writes per second through line protocol ingestion over HTTP, with unlimited tag cardinality eliminating the high-cardinality limitations that plagued earlier InfluxDB versions. The diskless architecture persists data as compressed Parquet files to S3-compatible object storage, Azure Blob, Google Cloud Storage, or local disk with configurable partitioning strategies, while the write-ahead log and in-memory buffer serve real-time queries against recent data before compaction. Native SQL support through DataFusion includes window functions, CTEs, subqueries, and joins, while InfluxQL maintains backward compatibility with existing InfluxDB 1.x and 2.x applications through the same query API. The embedded Python VM enables processing engine plugins and triggers that execute custom logic on write events, perform cross-database queries, and transform data in real time without external tooling. Flight SQL clients provide high-performance query access from Python, Go, Java, and Rust, and the HTTP API supports writes in line protocol format compatible with Telegraf's 300+ input plugins. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT/Apache 2.0 dual-licensed.

If cloud-dependent smart home hubs and YAML-heavy configuration files leave your household at the mercy of vendor outages and broken scripts, Gladys Assistant puts your entire home under clean, point-and-click local control. Zero YAML required. Pair thousands of lights, thermostats, smart plugs, locks, and sensors directly through native Zigbee2MQTT, Matter, Z-Wave, and MQTT support, or install hundreds of sandboxed community integrations for Philips Hue, Shelly, Sonos, TP-Link Tapo, Netatmo, and Reolink cameras in a single click. Visual scenes make automation effortless. Trigger multi-step routines from motion sensors, sunrise schedules, house presence, calendar events, or electricity tariff changes, and chain conditional actions with delays, HTTP webhooks, and Telegram alerts. Customizable room dashboards display live RTSP camera streams, climate charts, weather forecasts, and interactive dimmer controls. Built-in energy monitoring tracks real-time wattage, historical kWh consumption, and utility contract costs across every circuit. 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.

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.

evcc turns surplus rooftop solar and the cheapest hours of a dynamic tariff into cheap, clean kilometers by coordinating an EV charger, heat pump, and home battery from one local dashboard. Each charging point offers Off, Smart, and Fast modes. In Smart mode, charging starts once the surplus covers the car's minimum power, follows the sun up and down, pauses when clouds win, and can switch between one and three phases on wallboxes that allow it. A solar share slider lets small systems start earlier, and Always charge keeps fussy cars from being interrupted. Set a departure time and a target charge, and a charging plan picks the cheapest or cleanest hours before it, repeating weekly if you like. Tibber, Awattar, fixed and time-based rates, dynamic feed-in prices, and CO2 and solar forecasts all feed those decisions. A home battery can claim the surplus first or lend a boost for fast charging, and load management keeps several chargers inside a circuit's current limit while honoring grid operator dimming. Hundreds of wallboxes, inverters, meters, heat pumps, and vehicle APIs are supported, including Tesla, BMW, Mercedes-Benz, Skoda, and Volkswagen. Sessions land in a history with charts and CSV export, and REST, MQTT, InfluxDB, Grafana, Home Assistant, and openHAB link evcc to the rest of the house. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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.

Whether it is a delivery van, a trailer in a storage yard, or a dog on a hike, Traccar is the GPS tracking server that puts it on one live map you host and control. Every position and event lands in your own SQL database. Over 200 protocols covering 2000+ tracker models decode out of the box, so a Teltonika fleet unit and a budget dongle share one device list. Pick a device to see speed, address, ignition, and total distance. Routes replay on a timeline slider, and a ruler tool measures distances. Geofences can be polygons, polylines, or circles, linked to devices or groups, colored as you like, and limited by calendar schedules. Alerts for overspeed, fuel drops, offline devices, alarms, and maintenance arrive by web, email, push, SMS, Telegram, or WhatsApp. Reports cover trips, stops, summaries, charts, events, and positions, with Excel export and scheduled email delivery. Commands go out over the tracker's own connection or by SMS, queued for offline devices. Computed attributes derive ignition or fuel values from raw inputs using expressions. Resellers get admin, manager, user, and read-only roles with device limits, plus white-label branding. Traccar Client lets a smartphone report as a tracker, and Traccar Manager monitors devices from mobile. Teams who want AI assistants to query their devices can add the MCP endpoint, which is optional. 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.

Built for e-ink screens, Tesserae composes calm wall dashboards from your calendar, weather, and Home Assistant data in a browser, then renders each frame at the panel's exact resolution. Lay out pages as a grid of cells or on a free canvas of widgets, text, and shapes, with a live preview. What you see is what paints. Dozens of bundled widgets cover weather, calendars, clocks, news, to-do lists, and photos, and a community catalog adds more widgets, themes, and templates. Frames are dithered to each panel's measured palette, so photos and gradients stay clean on Spectra 6 color, mono, and grayscale screens. One server drives a whole fleet. Each panel keeps its own dashboards, schedules, and rotations, and smart sync renders just before a battery panel wakes while quiet hours let it sleep overnight. Seeed reTerminal and XIAO panels flash from the browser, and Pimoroni Inky, Waveshare, M5Stack, TRMNL-compatible devices, and KOReader Kindles and Kobos work too. Inside Home Assistant it runs as a sidebar App. Home Assistant widgets show entities, history, energy, and cameras, and MQTT discovery turns each panel into a device with its frame, battery level, and signal. No account is needed, and update checks stay off unless you opt in. Ask Claude or any MCP client to lay out a dashboard, check a preview, and push it. 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.

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.

CKAN lets governments, research institutions, and companies publish data as a searchable catalog, where every dataset carries its description, license, tags, and downloadable files. Organizations own their datasets, and members, editors, and admins get different rights, so a dataset can stay private until someone with publishing rights releases it. Visitors narrow results with faceted filters on tags, formats, and organizations, or write fielded queries with wildcards and fuzzy matching. Resource pages preview spreadsheets in a grid and, when the data fits, as maps and charts, and they also display images, PDFs, and HTML. The DataStore keeps tabular resources as queryable tables, serving filtered rows with range conditions and nested AND/OR logic. Everything the web interface does is also available through the Action API. Groups gather related datasets, and custom metadata fields extend each record. Per-dataset activity streams document how data changes, and follow buttons feed a personal news feed. Files can be stored on local disk or, with extensions, in S3, Google Cloud Storage, or Azure Blob Storage. Extensions add geospatial search, harvesting for federated portals, multilingual metadata, and more chart types, and themes restyle the portal to match your brand. 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.

Unplanned equipment downtime and scattered paper work orders cost facility teams hundreds of maintenance hours every year, an operational bottleneck that Atlas CMMS resolves through a centralized, self-hosted computerized maintenance management platform. Maintenance supervisors can create, prioritize, and assign reactive or scheduled work orders to internal technicians and external contractors, attaching multi-step inspection checklists, labor timers, and completion photos. Automated preventive maintenance rules generate recurring tasks on daily, weekly, monthly, or meter-based intervals so critical machinery receives servicing before breakdowns happen. Asset managers can organize hierarchical equipment registers mapped to physical facility locations via Google Maps, tracking downtime history, repair costs, and reliability metrics per machine. Built-in spare parts inventory management monitors stock levels with low-quantity alerts and links directly to purchase order creation and multi-stage vendor approval workflows. Non-technical staff can submit maintenance requests through a simplified service portal, while field technicians update tickets, scan barcodes, and log parts usage from the companion Android and iOS mobile apps. Executive analytics dashboards export compliance rates, mean time to repair, and labor cost breakdowns across 18 supported interface 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.