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.

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.

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.

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.

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.

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.

On the factory floor, the data already exists; it is just locked inside machines, PLCs, and protocols nobody on the analytics team speaks. StreamPipes unlocks it with guided adapters for OPC UA (including a web-based node browser), MQTT, Kafka, Pulsar, REST services, and industrial controllers, turning each source into a live stream in minutes. Domain experts then drag those streams into the pipeline editor, chain processors and sinks on a canvas, and watch connection validation check schema compatibility as they build, with live preview showing real values before anything is saved. Pipelines filter, enrich, aggregate, and route machine data, raise alerts, and write results to the built-in time-series data lake, where the data explorer charts history and spots trends. Finished pipelines run under an overview that starts, stops, and bulk-manages them, while detail views expose logs, metrics, status, and the pipeline as code. Live dashboards carry the same data to shop-floor screens and operations centers, organized around assets so a line, a cell, or a single machine becomes the navigation unit. Developers extend everything with custom adapters, processors, and sinks built on the Java SDK and deployed as microservices, or drive the platform from Python, Go, and Java clients. 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.

Every physical device on your network gets a living digital counterpart in Eclipse Ditto: a Thing whose Features hold its current state, desired state, and properties, readable and writable through APIs even while the device itself is offline. Your application talks to the twin over a REST-like HTTP API for CRUD and search, over WebSocket for real-time bidirectional streams, or over Server-Sent Events for change notifications, and Ditto routes commands down the live channel to the actual device when it is connected. Devices and backends connect through managed Connections to MQTT, AMQP 1.0 and 0.9.1, Apache Kafka, and HTTP endpoints, with payload mapping that translates between device formats and Ditto Protocol JSON. Fine-grained Policies decide per subject and resource who may read a temperature, change a setpoint, or receive an event, including namespace-scoped entries and partial change notifications that only reveal fields a subscriber may see. Search across millions of twins uses an RQL query language with custom MongoDB indexes, and Web of Things integration generates Thing Descriptions scoped to each requester's permissions. The bundled Explorer UI lets operators browse Things, inspect Features, and time-travel a twin's state to any past revision or timestamp to see exactly what changed and when. OpenID Connect and basic authentication protect the gateway, and Prometheus metrics expose live entity counts per namespace. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. EPL-2.0 licensed.

Between the factory floor and the cloud sits a gateway that has to speak Modbus to a PLC, OPC-UA to a machine, and MQTT to your platform, and Eclipse Kura is the framework that runs that gateway as a managed, programmable container. Drivers encapsulate each field protocol and its settings, while Assets model the data channels of attached devices, giving every sensor and controller a uniform mirror that applications can read, write, and publish. Kura Wires turns edge logic into a diagram: drag an asset onto the canvas, wire it through timers, filters, and SQL-based aggregation, and publish the result to the cloud, installing extra components from the Eclipse Kura Marketplace when the palette runs short. Telemetry survives bad networks because the data service stores messages locally and forwards them when the connection returns, with publishing policies abstracting the underlying MQTT transport. Administrators manage the whole gateway from the web console: network interfaces, firewall, installed bundles, snapshots of the full configuration that can be exported and restored, and remote deployment and upgrade of applications through the cloud connection. Hardware services expose serial ports, USB, Bluetooth, GPS position, GPIO, I2C, and a watchdog that resets the system when a critical component stops reporting. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. EPL-2.0 licensed.