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.

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.

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.

3D printing enthusiasts who accumulate thousands of downloaded STL, 3MF, STEP, and OBJ archives across disorganized folders can index, preview, and catalog their entire library with Manyfold, a self-hosted digital asset manager purpose-built for additive manufacturing. Point it at an existing local directory or an S3-compatible bucket and it automatically scans nested folders, groups multi-part meshes into unified model entries, and renders interactive 3D previews right in your browser. You can organize assets by creator, collection, tag, and scale, distinguish between pre-supported and unsupported resin files, and import rich metadata directly from Thingiverse, Printables, Cults3D, and MyMiniFactory. Built-in troubleshooting tools flag duplicate meshes, manifold geometry errors, and inefficient file formats, while customizable file-naming templates reorganize messy directory trees on disk with a single click. Ready to print? Open models directly in OrcaSlicer, PrusaSlicer, or UltiMaker Cura, or transmit sliced G-code straight to OctoPrint and Moonraker printers. Multi-user access control and native ActivityPub federation let you share public collections and follow remote creators across the Fediverse. 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.

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.

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.

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.

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.

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.