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.

Stocks, ETFs, crypto, bonds, precious metals, and cash across every account and currency, in one privacy-first dashboard: Ghostfolio is open-source wealth management software. The deliberate design decision is no brokerage linking: positions enter by manual entry, CSV import, or the REST API, so your holdings never pass through a data aggregator. Performance is measured as return on average investment across Today, WTD, MTD, YTD, 1Y, 5Y, and Max timeframes, with benchmark comparison against indices like the S&P 500, dividend tracking, and allocation breakdowns by asset class, region, and sector. A static X-ray analysis flags concentration and other portfolio risks, and a FIRE calculator projects progress toward financial independence. Multi-currency support converts holdings using historical exchange rates, market data comes from Yahoo Finance and CoinGecko among other pluggable providers, and everything exports back out as CSV or JSON. Built with Angular and NestJS on PostgreSQL and Redis, shipped as Docker images for amd64 and ARM, with a mobile-first PWA interface, dark mode, and a distraction-free Zen mode. AGPL-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.

When you want honest traffic numbers without tracking cookies or stored IP addresses, Liwan puts a real-time analytics dashboard on your own server. The dashboard ranks pages, referrers, countries, browsers, platforms, and devices, charts visitors over time, and filters out bot traffic by default. Session metrics add bounce rate, average time on site, and entry and exit pages, while UTM fields attribute visits to campaigns. Collection is adjustable globally and per site: choose how visitors are grouped, whether to store country and city, country only, or no location, and how long events are kept. Drop rules discard internal, test, and local traffic before storage, and a pruning tool applies new settings to history after a dry-run preview. Tracking is one line of HTML, or your own server can send events with custom names and properties. Location can come from a MaxMind database or from Cloudflare, Vercel, and other proxy headers. One instance holds several projects and sites, with team accounts and single sign-on through Google Workspace, Microsoft Entra ID, or an OpenID Connect provider such as Keycloak or Dex. 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.

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.

Watching a MikroTik RouterOS v7 router in real time is what MikroDash is for: live traffic, connections, Wi-Fi clients, DHCP leases, and WireGuard peers reach the browser the moment anything changes. Cards drag into any layout, and the arrangement follows your account to every browser. Managing a fleet happens on the Devices page, which shows routers as cards, a list, or a world map with 24-hour connectivity, last backup, open alerts, and pending updates. Rolling out a change starts in Config Management: choose one of 20 ready-made templates or capture your own, then deploy to one router or the fleet with a restore point, a canary router, and an automatic revert if a change cuts MikroDash off. Scheduled backups are kept only when something changed, with a diff and a guarded restore. New sites join through a generated script that calls home over a built-in WireGuard tunnel, even from behind NAT. Alerts reach SMTP, Telegram, ntfy, Discord, Slack, Gotify, Pushover, and Apprise. Troubleshooting stays in the browser with ping, traceroute, torch, bandwidth tests, a packet sniffer, and a RouterOS terminal. Read-only API access covers every page and alert, while roles, OpenID Connect sign-in, and an audit trail of every write govern shared use. Off by default, an optional assistant answers from live router data and asks before changing anything. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

This is a marketing operations control center that replaces fragmented CRM, outreach, content, and analytics tools with a unified self-hosted interface designed for AI agent-assisted go-to-market teams. The CRM module manages leads through a configurable pipeline funnel with stages from New through Sequenced, Replied, Interested, and Booked, tracking source attribution, industry segments, company size, lead quality scores, and LinkedIn URLs per contact. Outreach sequencing supports email campaigns with pause controls, audit endpoints, suppression workflows, and engagement tracking. The content operations surface provides calendar views, content item management, performance metrics, and approval queues for editorial control. Analytics and KPI dashboards show impressions, engagement, and send volumes over configurable time periods, with optional connectors to Plausible, Google Analytics 4, X, and LinkedIn for cross-platform reporting. The OpenClaw-native agent runtime enables dynamic agent and squad discovery, workspace management, session monitoring, and communications surfaces. Automation scheduling uses cron job templates with OpenClaw-compatible schedule variants including cron expressions, every intervals, and at timestamps. The tech stack combines Next.js 16 App Router with React 19, Tailwind CSS 4, Recharts, and Zustand for state management. Authentication supports session cookies, API keys, and optional Google OAuth with role-based access controls. All state persists locally in SQLite via better-sqlite3 with no required external infrastructure. On RepoCloud, deploy Marketing Dashboard on a dedicated VPS with persistent SQLite storage, root SSH access, and complete control over your marketing operations data, all under the MIT license.

If you can write a SELECT statement, you can publish a working web app with SQLPage, where each query's results appear on the page as tables, charts, maps, or forms. A .sql file is a page. Name a component in the first row, and the rows after it become lists, cards, data grids, timelines, or step trackers. Tables offer searching, sorting, frozen headers, and per-row edit and delete buttons. Charts cover line, area, bar, pie, scatter, bubble, and heatmap views with a one-click CSV export. Forms feed INSERT and UPDATE statements directly, with validation and file uploads. A complete CRUD tool takes a handful of queries. The map component plots markers and GeoJSON shapes, and the JSON component lets the same data serve other systems as an API. Protect private pages with password logins or single sign-on through Google, Microsoft, or your own identity provider. Connect to SQLite, PostgreSQL, MySQL, SQL Server, or ODBC sources such as DuckDB, Oracle, Snowflake, and BigQuery. Tabs, modals, alerts, breadcrumbs, and carousels shape multi-page sites, and custom templates, CSS, and JavaScript fill any gap. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Every service you run, behind one polished start page: Dashy is the most customizable homelab dashboard, built as a Vue.js homepage. Configuration lives in a single YAML file, but you never have to hand-edit it: an integrated UI editor with real-time validation writes changes back to disk, so both config-as-code and point-and-click camps are served. Status indicators put a live health dot next to every app - HTTP checks or pings on custom intervals, with response time and status details on hover - giving you an at-a-glance uptime overview before anything breaks. Over 50 built-in widgets pull dynamic content from the services you already run: Pi-hole and AdGuard block stats, Proxmox lists, Nextcloud status, Netdata CPU/memory history, Prometheus data, plus weather, RSS, crypto prices, and generic iframe/API-response widgets for anything with an endpoint. Instant fuzzy search launches any app as you type, with customizable hotkeys and web-search fallthrough. Theming is deep: dozens of built-in themes, a UI color palette editor, and custom CSS over CSS variables. Alternate views include a fast-loading minimal startpage and a workspace view that embeds apps side-by-side without leaving the dashboard. Icons resolve from Font Awesome, homelab icon packs, emojis, or auto-fetched favicons. Built-in authentication, multi-page support, cloud backup/sync, and multi-language round out an MIT project with a massive community.

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.

Keep every VPS, home-lab box, NAS, and router you run on one self-hosted dashboard, with a small agent on each machine reporting whether it is up and how hard it is working. Nezha tracks CPU, memory, swap, disk, load, traffic, process counts, and TCP and UDP connections on Linux, Windows, macOS, OpenWRT, and Synology machines, plus GPU and temperature where supported. Servers sort into groups and appear as cards, a list, or a world map, with live charts and, when the optional time-series database is on, 1, 7, and 30 days of history. HTTP GET, ICMP Ping, and TCPing monitors run from the servers you choose, chart latency and packet loss, and warn about HTTPS certificate changes and upcoming expiry. Alert rules watch offline servers, resource use, bandwidth, and cycle traffic limits, then message Telegram, Slack, Matrix, Feishu, DingTalk, or any webhook. A browser terminal and file manager handle quick fixes, while scheduled or alert-triggered tasks run backups, restarts, and scripts across many servers. DDNS updates Cloudflare, Tencent Cloud, or Hurricane Electric records when an agent's IP changes, and NAT traversal publishes a home router or NAS page on your own domain. Admin and user roles, scoped API tokens, and an optional MCP endpoint let people and AI tools list servers and run commands within their permissions. 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.

Backed by Y Combinator with 4,300 GitHub stars and growing rapidly since its September 2024 launch, Briefer delivers the first truly unified notebook-and-dashboard platform that eliminates the fragmented workflow of juggling Jupyter for analysis, Tableau for visualization, and Notion for documentation — combining all three in a single Notion-like workspace where SQL query results automatically become Python DataFrames accessible in subsequent code blocks. The built-in AI analyst understands your database schema and notebook context to generate SQL queries, write Python transformations, create visualizations, and fix errors on demand using configurable OpenAI or private LLM backends. Connect directly to PostgreSQL, MySQL, BigQuery, Redshift, Snowflake, and Amazon Athena as data sources, or upload CSV files for immediate analysis. Native point-and-click visualizations produce charts, tables, and dashboards without writing code, while interactive data apps use inputs, dropdowns, and date pickers to create parameterized reports for non-technical stakeholders. Scheduled execution runs notebooks and dashboards periodically with results delivered via Slack integration or public shareable links. Write-back queries modify production data directly from notebooks for ad-hoc pipeline testing. The architecture runs as three Docker containers — web frontend, API server, and optional AI service — backed by PostgreSQL and a Jupyter server for Python execution, deployable via single Docker command, Docker Compose, or Helm charts for Kubernetes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.

The Kubernetes project's own answer to cluster management UIs: maintained under SIG UI governance, Headlamp's roadmap tracks Kubernetes releases and its design philosophy reflects community needs rather than a vendor's product strategy. The React interface provides full read-write capabilities adapted to each user's RBAC permissions — delete, scale, edit, and restart buttons appear only when the authenticated user holds the corresponding cluster role, preventing accidental unauthorized actions. Multi-cluster support surfaces workloads across development, staging, and production from a single view without context switching. The plugin architecture drives extensibility through a curated catalog: an AI Assistant plugin answers natural-language cluster queries and performs operations via configurable LLM keys, Flux handles GitOps, Karpenter manages nodes. Integrated terminals provide browser-based exec access to running pods, live log streaming follows container output with filtering, and the YAML editor displays inline Kubernetes API documentation alongside resource definitions. Deployment creation forms let you configure containers, environment variables, volumes, and replicas without writing manifests. Side-by-side cluster comparison views surface differences in workload distribution. Works with any distribution: EKS, GKE, AKS, Minikube, Docker Desktop. Helm chart installation via the Headlamp repository with images on GitHub Container Registry. 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.

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.

Kula watches a Linux server every second and turns CPU, memory, disks, network, containers, and applications into a live dashboard you can open before trouble becomes downtime. Follow total and per-core CPU, load averages, memory and swap pressure, disk I/O, filesystem space, temperatures, GPU load, and network throughput as charts update live in the browser. Drag to zoom into history, switch to focus or TV mode for a wall display, and check the System Info page when you need the hardware story behind a spike. Watch Docker, Podman, and cgroup containers beside host metrics, then add PostgreSQL, MySQL or MariaDB, nginx, and Apache monitoring or define custom metrics for the odd service only your team understands. Scrape the Prometheus endpoint into an existing observability stack, open the terminal UI over SSH for a quick live read, or ask the optional local Ollama assistant to discuss charts without sending data to a cloud service. Protect the dashboard with optional Argon2id logins and multiple users, schedule storage snapshots, and keep the whole tool working on closed networks with no external calls. 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.

A single pane of glass for every service you run, arranged by drag-and-drop with no YAML or JSON files: Homarr is the modern dashboard for self-hosted infrastructure. Its grid system arranges apps, widgets, and bookmarks on desktop or touch, backed by an icon picker with over 11,000 icons. What separates Homarr from static launchers is 50+ live integrations: Plex, Jellyfin, and Emby media stats, the *arr suite (Sonarr, Radarr) with a unified release calendar, download clients, Pi-hole and AdGuard Home controls, Proxmox, Home Assistant, OPNsense, and Unifi monitoring. Widgets update in real time over WebSockets (tRPC and Redis under the hood), and a built-in search queries thousands of data points across connected services. Custom widgets extend the reach to any HTTP API without code: define endpoint, auth, and refresh interval in the management UI, then render responses as stat grids, tables, progress bars, status indicators, action buttons, or full custom JSX layouts - with an AI-prompt helper for generating templates. Multi-user support is first-class: credentials, OIDC, or LDAP sign-on, groups with granular permissions, and secrets encrypted with AES-256-CBC. A robust background-job system scales it from a Raspberry Pi homelab to deployments serving hundreds of users.