God's Eye View turns your browser into a real-time spatial intelligence command center, rendering thousands of live aircraft, ships, satellites, earthquakes, traffic flows, and public cameras on a photorealistic 3D Earth powered by CesiumJS and Google Photorealistic 3D Tiles. Click any aircraft to see its transponder telemetry from OpenSky and adsb.lol, including route history, altitude, speed, and callsign; track live vessel positions worldwide through AIS beacon data from AISStream; or follow roughly 840 satellites color-coded by class using orbital elements from CelesTrak. A hands-free voice agent powered by the OpenAI Realtime API lets you ask the planet questions in natural language, and the globe annotates your answer directly in 3D space. Toggle FLIR mode for a thermal camera aesthetic, layer in NASA FIRMS wildfire data, switch between Google 3D, Bing aerial, and OpenStreetMap base layers, or tune into a geolocated world radio dial. Public CCTV cameras are projected into 3D city geometry with viewshed cones and direct-manipulation calibration. The cockpit mode provides a pilot-style briefing surface with mission-specific overlays. Entity inspection panels show detailed metadata for every tracked object, and shareable links let you send any scene configuration to a colleague. Ten of the thirteen live data layers work with zero API keys, while the required Google Maps key offers 1,000 free 3D tile sessions per month. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Powering data analytics at companies like Airbnb, Twitter, and Lyft where it originated, Apache Superset has become the leading open-source business intelligence platform with over 65,000 GitHub stars and an Apache Software Foundation top-level project designation. The platform ships with over forty visualization types out of the box including geographic maps, time-series charts, pivot tables, heatmaps, treemaps, and Sankey diagrams, all rendered with Apache ECharts for publication-quality output. Its SQL Lab provides a full-featured IDE experience with syntax highlighting, autocomplete, query history, and result caching for interactive data exploration. Superset connects natively to PostgreSQL, MySQL, ClickHouse, Trino, Presto, BigQuery, Snowflake, Apache Druid, Apache Hive, and dozens more databases through SQLAlchemy connectors, with support for custom database drivers via Python plugins. The semantic layer allows data teams to define calculated columns, metrics, and virtual datasets that business users can query without writing SQL. Role-based access control with row-level security enables fine-grained data governance, while the embedded analytics SDK lets you integrate dashboards directly into external applications via iframes with SSO pass-through. The caching layer supports Redis and Memcached for query result caching, and the asynchronous query execution engine powered by Celery handles long-running queries without blocking the UI. Alerts and reports can be scheduled via email or Slack with PNG or CSV attachments generated from any chart or dashboard. 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.

Homelable turns your entire homelab into a live, interactive network canvas where every device, link, and service shows its real-time status at a glance. Run an nmap-powered network scan against your subnets and the tool fingerprints services, queues unknown devices for review, and drops approved hosts onto a drag-and-drop canvas with 15 native node types covering routers, switches, hypervisors, NAS boxes, IoT sensors, and more. Import your full Zigbee2MQTT mesh (controllers, routers, end devices with link quality indicators) and Z-Wave JS device trees in one click, preserving the actual RF topology without manual wiring. Proxmox integration pulls in hosts, VMs, and LXC containers so you can nest virtual machines inside their parent hypervisor node on the canvas. The Rack Canvas mode documents the physical side of your lab: create racks with configurable U-height, mount gear into slots, and patch ports across devices to track your cabling. Health checks run every 60 seconds using ping, HTTP, HTTPS, TCP, SSH, or Prometheus scrape endpoints, with WebSocket push delivering green, red, or pending status pulses directly to the canvas. Split your infrastructure across multiple canvases organized by site, rack, or purpose, and share a read-only Live View URL with anyone on your network. A built-in Model Context Protocol server lets AI assistants like Claude query and modify your topology through natural language. Deploy on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Used by millions of users at thousands of organizations worldwide and holding 29,000+ GitHub stars, Redash is the most established open-source SQL-first business intelligence tool — enabling anyone from analysts to executives to query databases, visualize results, and share dashboards without writing a single line of application code. The browser-based query editor supports SQL and NoSQL with schema browsing, auto-complete, query snippets, and parameterized queries that turn static reports into interactive data applications. Native connectors span 35+ data sources including PostgreSQL, MySQL, Amazon Redshift, Google BigQuery, Snowflake, ClickHouse, MongoDB, Elasticsearch, Databricks, Apache Presto, Microsoft SQL Server, and REST APIs — with an extensible data source API for custom integrations. Visualization types cover line, bar, area, pie, scatter, box plot, funnel, cohort, sankey, sunburst, choropleth map, and pivot tables, all draggable onto shared dashboards with cross-filtering parameters. Scheduled refreshes automatically update query results at configurable intervals, while threshold-based alerts notify teams via email, Slack, or webhook when metrics cross defined boundaries. SAML and Google OAuth SSO integration, role-based access control, API key management, and query-level permissions ensure enterprise-grade security for sensitive datasets. The self-hosted stack deploys via Docker Compose with PostgreSQL for metadata storage, Redis for job queuing, and Celery workers for background task execution. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD 2-Clause licensed.

Neko Master watches every connection flowing through your Clash, Mihomo, or Surge gateway and turns the stream into a live map of devices, domains, countries, and proxy nodes, so questions that once needed packet captures get answered at a glance. The dashboard refreshes over WebSocket as traffic moves, charting upload and download trends across thirty minutes, one hour, or a full day. Domain views rank every host your network contacts by traffic and connection count, and IP views add ASN and geographic detail, so an unfamiliar endpoint explains itself instead of raising an alarm. Proxy statistics break traffic down per node and per rule, which makes a saturated exit, a misrouted application, or an underused subscription obvious in seconds. One panel watches several gateways at once: add OpenClash backends directly, or install the one-command agent on OpenWrt, Linux, or macOS machines beside remote gateways and let each agent report home. Because agents open the connection outward, gateways behind NAT still report in, and the panel never reaches into your network uninvited. History persists in SQLite by default, and busy networks can dual-write traffic statistics to ClickHouse for larger histories while configuration stays in SQLite. Token-based access control protects the dashboard, dark mode and an installable PWA keep it comfortable on a phone, and the interface switches between English and Chinese. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Immich Insights turns the photo library you already keep in Immich into a year-in-review style dashboard of how you actually shoot. Connect it with your own Immich API key and it reads your asset metadata into a local snapshot, without copying your original photos, then builds the overview Immich itself never shows: total photos and videos, storage used, favorites, albums, and your newest additions. Pick any year or a custom date range and see that period's shooting volume, favorites, albums, and devices. Camera statistics break your library down by device and manufacturer, with leaderboards you can correct when the same camera appears under different names. Exposure analysis shows your ISO, focal length, and shutter speed distributions, the focal lengths you reach for most, and how your settings shift by hour of day. Rhythm charts map your shooting by month, weekday, and hour, with a calendar heatmap of your most active days. A zoomable timeline marks the moments that matter: first photo, a new device joining the library, your longest gap, your busiest day ever. People and location views count faces and mapped places by country and continent, and a photography profile scores your habits. Clicking any chart value opens the matching photo thumbnails, and reports export as PDF, CSV, or JPG. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Retool's job, self-hosted: ToolJet is an open-source low-code platform for building internal tools, dashboards, and admin panels. Apps are assembled in a drag-and-drop visual builder with 60+ responsive components, including tables, charts, forms, and lists, and connected to 80+ data sources: PostgreSQL, MySQL, MongoDB, REST and GraphQL APIs, cloud storage, and common SaaS tools. When visual configuration is not enough, you can run JavaScript or Python inline for queries and transformations. A built-in no-code database (ToolJet Database) covers apps that need their own tables without provisioning an external database, Workflows add node-based automation for background jobs with dedicated worker containers and a Redis-backed queue, and multi-page apps with multiplayer editing, inline comments, and mentions support team development. Security is designed for internal data: credentials are AES-256-GCM encrypted, data flows proxy-only through your server so database contents never reach a third-party cloud, and granular per-app access control plus SSO gate each tool. Where Retool-style platforms bill per builder and sometimes per end user, the self-hosted Community Edition serves unlimited builders and users at hosting cost, and full source availability means the platform itself can be forked, audited, and extended. The stack is Node.js and React on PostgreSQL, deployed via Docker.

Every ride, run, hike, and swim you have ever recorded finds a home in Dreeve, a private fitness dashboard that lives on your own server rather than in a social feed. Import FIT, TCX, or GPX files from a watch folder, sync Strava, or add connectors for Garmin Connect, Wahoo, Polar Flow, Hammerhead, and Zepp/Amazfit. Weekly charts follow distance, time, and elevation beside training goals, heart rate zones, and training load analysis, and monthly stats pair per-sport totals with an interactive calendar. A heatmap paints every kilometer you have covered. Best efforts rank your fastest 5k, 10k, 50k, and 100k across every sport, while Eddington numbers, a milestones timeline, and a yearly Rewind mark the long game. Strava sync also brings segments, segment efforts, and challenges. Gear pages total the distance on each bike and shoe, and maintenance tasks send alerts through ntfy, Gotify, Discord, Telegram, Slack, or email when an interval comes due. Automation rules assign gear, flag commutes, and set sport types by device, distance, weekday, time of day, or location, so new imports arrive organized. Ask the AI workout assistant about your training, using cloud models, OpenRouter, or a local Ollama model. An installable mobile app and embeddable badges carry your stats to phones and blogs, and a password-protected admin panel keeps the settings. 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.

CoreObs delivers a unified self-hosted dashboard that replaces the typical combination of Uptime Kuma, Homer, and separate monitoring tools with a single interface for managing your entire server infrastructure. The Next.js frontend with shadcn components provides a modern dark-themed UI displaying server hardware metrics collected by a lightweight Go agent that leverages Glances for hardware abstraction — streaming real-time per-core CPU load, RAM utilization, NVIDIA GPU statistics, disk usage, system uptime, and load averages via WebSocket connections. The application registry tracks all self-hosted services with configurable uptime monitoring, availability history charts, and instant notifications through Discord, Telegram, Pushover, and email when services go down or recover. Quick-access links provide one-click navigation to each application's management panel directly from the dashboard. The network visualization module built on React Flow enables creating visual topology maps of your infrastructure with drag-and-drop nodes representing servers, switches, and services connected by labeled edges. Server data can be organized with tags, copied between entries, and monitored with configurable pagination and compact view modes. Deploy via Docker Compose with three containers — the Next.js web interface, the Go monitoring agent, and PostgreSQL 17 for persistent storage. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With 5,600+ GitHub stars and deep dbt integration, Lightdash is the open-source Agentic BI platform that treats analytics like software — defining metrics, dimensions, joins, permissions, and caching in a governed context layer that powers dashboards, AI agents, data apps, embedded analytics, and MCP server endpoints simultaneously. The dbt Write-Back feature lets business users create custom metrics and models in the UI, then automatically generates pull requests in GitHub or GitLab so every change flows through code review and CI validation before reaching production. Context-specific AI analysts automatically select relevant models and metrics, build queries, and present insights in plain English, while row-level security, user attributes, and customer-facing permissions ensure data governance at every layer. The platform connects to BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, Trino, and ClickHouse through warehouse adapters, with the TypeScript monorepo built on React, Mantine, Vite, and TanStack Query on the frontend plus Node.js, Express, Knex, and PostgreSQL on the backend. Data teams build analytics with coding agents, preview changes from the CLI, validate in CI pipelines, and review charts and dashboards in pull requests — making the entire analytics lifecycle version-controlled and reproducible. 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 dashboards deserve version control, code review, and reproducible builds, just like the rest of your stack. DAC lets you define interactive data dashboards in YAML or TSX, validate them in CI, and serve them from a single Go binary that embeds a full React frontend. Choose from 21 chart types including line, bar, area, pie, scatter, bubble, funnel, sankey, heatmap, calendar, sparkline, waterfall, gauge, treemap, radar, and candlestick, plus metric cards, data tables, text blocks, and image widgets. The built-in semantic layer lets you define metrics and dimensions once in reusable model files, then reference them from any widget while DAC generates the SQL automatically. Connect to Postgres, MySQL, Snowflake, BigQuery, Redshift, Databricks, and DuckDB through standard Bruin connection configs. Interactive filters with date pickers, dropdowns, multiselects, and search inputs inject values via Jinja templating and re-execute only affected widgets. Live reload via Server-Sent Events refreshes connected browsers instantly when you save a file. Export dashboards as self-contained static HTML with baked-in query results for S3, GitHub Pages, or offline sharing, and render slide decks via the Google Slides export command. On RepoCloud, deploy DAC on a dedicated VPS with root SSH access and persistent storage for your dashboard definitions and database connections under the AGPL-3.0 license.

TapMap draws a computer's live network connections on an interactive world map, so you can watch which applications are talking to which services, where those services sit, and what normal looks like for that machine. A local pipeline scans active sockets, extracts the remote addresses, and enriches them with geolocation from databases stored on the machine itself. Every connection carries the owning application or process, its network operator, and the operating system's verification status for that app, and places that share a location are highlighted when connections overlap. The same view lists local open ports, both TCP listeners and bound UDP sockets, established services on your LAN, and public services whose location could not be mapped. A rolling 30-day history turns raw connections into awareness: an Insights panel surfaces new applications, providers, countries, and ports, plus the most frequent activity, while a Significant Connections log records first sightings and failed verifications. A Daily Activity Report goes further, sorting applications into seen-once, occasional, recurring, and stable patterns, analyzing provider concentration, and charting country activity with detailed timelines. New significant connections can raise a desktop notification or publish to an MQTT broker you configure. Nothing is sent anywhere by default: processing happens locally, with no telemetry. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Livebook is an interactive notebook for Elixir where you write code alongside rich Markdown prose, execute it cell by cell with reactive dependency tracking, and deploy finished notebooks as standalone web applications with a single click. Nearly 6,000 GitHub stars reflect the Elixir core team's investment in a platform where code cells run on demand alongside Mermaid diagrams and KaTeX mathematical formulas. The Kino visualization library renders Vega-Lite charts, interactive data tables with sorting and pagination, Leaflet maps, and Mermaid diagrams directly within notebook output cells, while custom Kino components enable building interactive controls with sliders, text inputs, and buttons that feed values back into running code. Smart cells abstract high-level tasks into configurable UI widgets: query PostgreSQL, MySQL, SQLite, and BigQuery databases, train machine learning models with Axon, plot charts, and build map visualizations without writing boilerplate code. Real-time collaboration lets multiple users edit the same notebook simultaneously with cursor presence indicators and synchronized cell evaluation. Notebooks are stored as .livemd files, a Markdown-compatible format that renders cleanly on GitHub and integrates with standard version control workflows. Custom runtimes connect Livebook to existing Elixir applications for live introspection and documentation of running systems. The Docker image at ghcr.io/livebook-dev/livebook exposes ports 8080 and 8081 with password or token authentication. 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.

Frappe Insights delivers a self-hosted business intelligence platform where non-technical users build complex analytical queries without writing SQL. The visual query builder uses Ibis under the hood to compose optimized SQL from drag-and-drop column selections, filters, aggregations, and group-by operations — translating point-and-click interactions into performant database queries across MySQL, PostgreSQL, DuckDB, and BigQuery. The join editor provides a graphical interface for defining multi-table relationships, letting analysts connect data across schemas without understanding foreign keys or join types. The chart builder renders interactive visualizations using Apache eCharts with support for bar, line, area, pie, scatter, funnel, and pivot table chart types — each configurable with axes, colors, legends, and formatting options. Dashboards combine multiple charts into shareable views with layout customization, auto-refresh intervals, and filter propagation across widgets. Data source management handles connection pooling across multiple databases simultaneously, enabling cross-database analysis in single queries. Server scripts extend query capabilities with custom Python transformations for complex business logic that visual tools cannot express. Built on the Frappe Framework's full-stack architecture, deployment uses Docker via the official easy-install script that provisions the complete stack including MariaDB, Redis, and Nginx. 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.

uMap turns OpenStreetMap into a personal mapmaking canvas: draw markers, lines and polygons in the browser, layer your own data over detailed street maps, and embed the finished map in any website. Each map is built from data layers you can style independently, choosing marker shapes, colors, icons and popups that show names, descriptions, photos or videos when clicked. You can sketch points of interest by hand or batch import whole datasets in GeoJSON, GPX, KML or OSM format, then let clustering group dense markers or a heatmap reveal where things concentrate. Backgrounds come from a choice of OpenStreetMap based tile layers, so the same map can sit on a street plan or a cycling map depending on the audience. Finished maps embed with a snippet of HTML, stay interactive inside the page, and can be downloaded or shared by link with read only access for viewers. Permissions decide who owns, edits or only views each map, and with real time collaboration switched on, several editors can draw on the same map simultaneously and watch each other's changes appear live. A slideshow mode turns layers into a guided story, stepping viewers through places in order with text and media attached to each stop. 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.

Chartbrew transforms raw database queries and API responses into polished, shareable dashboards without requiring a data engineering team. Connect to MySQL, PostgreSQL, MongoDB, Firestore, or any REST API, then build datasets using the visual query editor with syntax highlighting and auto-completion. Charts render through Chart.js with line, bar, pie, donut, radar, polar, KPI card, and table visualizations, each customizable with colors, legends, filters, and goal indicators. An AI assistant accelerates dashboard creation by generating queries and suggesting chart configurations from natural language descriptions of the metrics you want to track. Reusable datasets let teams prepare data transformations once and share them across multiple charts, while automatic scheduling through BullMQ and Redis refreshes data at intervals from every 10 minutes to monthly. The embed feature generates standalone chart URLs for insertion into external websites, internal tools, or customer portals, and the Reporting API enables programmatic dashboard management and automated report delivery. Team workspaces with role-based permissions control who can view, edit, or manage data connections. Nearly 4,000 GitHub stars reflect steady community adoption. The platform runs on Node.js with Express and Sequelize ORM, supporting MySQL or PostgreSQL as its application database. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. FSL-1.1-MIT licensed (converts to MIT two years after each release).

The most widely deployed open-source BI tool, Metabase is a visualization and query layer that sits on top of your existing databases without ingesting or copying data. Non-technical users ask questions through a visual query builder with drill-through menus that answer follow-ups like "broken down by month" without writing a new query, while analysts use the native SQL editor with variables and templates for complex work. Questions assemble into interactive dashboards with filters, auto-refresh, fullscreen mode, and custom click behavior, and dashboard subscriptions email or Slack scheduled reports to stakeholders. It connects to 20+ data sources including PostgreSQL, MySQL, MongoDB, SQL Server, BigQuery, Snowflake, Redshift, and ClickHouse - always querying in place, so there is no second data store to secure, sync, or pay for, and results are always current. Models and metrics let a data team define official, reusable starting points so self-service stays consistent, collections with permissions organize content, and alerts fire when a metric crosses a threshold. The practical effect is cutting the ad-hoc query queue that lands on the data team, since non-technical staff can answer their own questions. Written in Clojure, licensed AGPL, and shipped as a single JAR or Docker image with an embedded application database - a working BI instance runs before most tools finish their installer - the open-source edition has no limits on users, dashboards, or connected databases, where commercial BI platforms price per viewer as well as per creator.

Paste one SQL query result into a browser and get an interactive entity-relationship diagram instantly, with no installations, no credentials, and no account required. ChartDB's "Smart Query" runs a single statement in your existing database client that exports table definitions, relationships, indexes, and column types as JSON metadata, meaning the application never touches your database passwords. The canvas renders draggable entities with cardinality markers, collapsible grouping areas, and sticky notes for documentation. AI-powered DDL export generates migration scripts between dialect pairs like PostgreSQL to MySQL or SQLite to CockroachDB, analyzing your schema to produce target-specific DDL with correct type mappings and constraint translations. Import paths cover Smart Query JSON, raw DDL scripts, and DBML files from tools like dbdiagram.io. The AI layer connects to OpenAI or any compatible inference server including local vLLM instances running models like Qwen2.5-32B. Database coverage includes PostgreSQL (with Supabase and Timescale extensions), MySQL, SQL Server, MariaDB, SQLite (with Cloudflare D1), CockroachDB, ClickHouse, and Oracle. Exports to SVG with inline styles or SQL DDL in any target dialect. Ships as a React/Vite frontend behind Nginx in Docker, deployable on RepoCloud with dedicated VPS resources under the AGPL-3.0 license.