Transforming scattered spatial files into an interactive data catalog, GeoLens empowers engineering and GIS teams to organize geospatial assets, execute semantic searches, and build interactive 3D maps on self-hosted infrastructure. Users can ingest shapefiles, GeoJSON boundaries, database tables, and Cloud-Optimized GeoTIFF rasters into a centralized inventory with automatic source freshness auditing. Natural language queries evaluate dataset relevance across spatial boundaries and thematic tags, allowing analysts to uncover hydrology networks or zoning footprints without knowing exact layer names. The browser-based composition canvas lets cartographers extrude three-dimensional building footprints, overlay elevation terrain contours, color features by attribute values, and reorder layer hierarchies with drag-and-drop ease. Finished map projects publish immediately as secure shareable web links or responsive embeds for external dashboards. Desktop GIS operators can connect directly from QGIS or ArcGIS through native OGC API Features and STAC endpoints to query live vector tiles and run spatial filters. Teams can export filtered geometries into GeoPackage, FlatGeobuf, GeoParquet, or PMTiles archives to support downstream analysis workflows. 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.

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).

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.

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.

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.

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.

Write standard SQL queries and watch Shaper turn them into interactive dashboards, scheduled reports, and customer-facing analytics widgets without maintaining a heavy business intelligence stack. Every query maps directly to a visual component through simple type casts like BARCHART, LINECHART, GAUGE, BOXPLOT, or DROPDOWN. Analysts can attach external PostgreSQL and MySQL databases, read Parquet, CSV, JSON, and Excel files straight from S3 object storage, or stream live events into the HTTP ingest API. Interactive filter controls let viewers slice metrics by date ranges, multi-select dropdowns, and dynamic parameter variables that automatically re-evaluate downstream charts. Teams version-control their entire reporting layer as plain SQL files in Git, making dashboard updates auditable in pull requests and simple for AI coding assistants to generate. Product engineers embed white-labeled analytics directly into customer web apps without iframes, issuing per-tenant JWT tokens to enforce row-level data isolation. Need scheduled deliverables for stakeholders? Configure SQL-driven background tasks that transform datasets on a cron schedule, send threshold alerts to Slack or Microsoft Teams, and generate downloadable PDF, PNG, Excel, or CSV reports. External collaborators can also view live metrics through password-protected sharing links. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MPL-2.0 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.

If your data lives in a pandas DataFrame, D-Tale gives it a spreadsheet-style grid, a column profiler, and a chart builder in the browser, started with one call from a notebook or script. In the grid you sort, filter, and edit cells inline, lock, hide, reorder, rename, or reformat columns from their menus, and open a Describe view with each column's distribution, summary statistics, outliers, and missing values, while highlight modes color dtypes, outliers, and numeric ranges across the whole table. Correlation matrices, a predictive power score, and duplicate reports sit beside dataframe functions that add numeric, binned, date, random, and type-converted columns, and Merge & Stack combines dataframes, including ones uploaded from Excel files. The chart builder draws line, bar, stacked, pie, wordcloud, heatmap, 3D scatter, surface, and map charts with grouping and aggregation, exports them as standalone HTML, and a network viewer graphs relationships between nodes. Whatever you build in the interface can be exported as reproducible Python code, and data can be saved as CSV or TSV. Launch it from Jupyter, Google Colab, Kaggle, a terminal, or the command line with a CSV path, protect it with optional authentication, and choose light or dark themes and English or Chinese. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. LGPL-2.1 licensed.

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.

Every DJI and Litchi flight you have ever logged becomes a searchable dashboard on your own server with Open DroneLog, a free, open-source alternative to DroneLogbook, Airdata UAV, and Flight Reader. Drop in DJI .txt logs, Litchi CSV files, or Airdata CSV exports and units are detected automatically, while deduplication on drone serial, battery serial, and start time lets you re-import a folder without duplicate flights. Each flight opens as a 3D terrain map with satellite, topographic, and OpenStreetMap layers, then replays from 0.5x to 16x speed with live telemetry and an RC joystick overlay. Synchronized charts plot height, speed, battery cell voltages, attitude, RC signal, GPS, and distance to home, with drag-to-zoom. Filters narrow flights by date, drone, battery, controller, duration, altitude, distance, tag, or map area, and automatic tags such as Night Flight and Low Battery arrive with offline reverse-geocoded locations. The overview dashboard adds an activity heatmap, per-drone and per-battery charts, and a cluster map. Battery health bars track cycle counts and capacity history, and maintenance thresholds show as color-coded progress bars. Export flights as CSV, JSON, GPX, or KML, build printable HTML flight reports that save as PDF, or generate a FlyCard image for social media. A sync folder imports new logs automatically, pilot profiles can sit behind passwords, and full-database backup and restore moves data between desktop and Docker. 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.

Plan multi-day expeditions, map custom waypoints, and coordinate shared group travel itineraries with TRIP, a private self-hosted journey management platform free from commercial tracking. Travelers can drop custom pins across global topographic or satellite maps, tagging locations with categories, visit durations, cost estimates, accessibility notes, and pet-friendly attributes. The visual trip builder organizes individual stops into ordered daily schedules, helping you calculate travel intervals and rearrange destination sequences using intuitive drag-and-drop tools. You can attach reference photos, booking confirmations, external links, and packing checklists directly to each itinerary milestone. Shared workspace controls enable travel companions to collaborate on upcoming road trips, leave comments on specific attractions, and coordinate shared responsibilities in real time. Dynamic filtering lets you isolate culinary destinations, outdoor hikes, or cultural landmarks by budget and travel style. Offline caching ensures your navigational routes and saved coordinates remain accessible in remote backcountry areas with spotty cellular coverage. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Atlas turns OpenStreetMap data for a city, a country, or the whole planet into a maps backend your applications can search, route with, and query for nearby places, all on hardware you control: pick a region and it downloads and indexes that territory's data locally. Search behaves the way users expect, with autocomplete matches grouped into clusters across the installed dataset, numbered so dense areas stay readable, and a show-all action that frames the full result set. Routing returns directions for driving, cycling, and walking, and a map-matching endpoint snaps noisy recorded GPS tracks onto the real road network. Ask what is here at any coordinate and category pickers surface restaurants, stations, parking, and hundreds of other place types around it, while transit planning threads timetables into door-to-door journeys. The settings panel is the control room: toggle search, routing, points of interest, and transit independently, switch the active region, and watch live progress as new territory is ingested and merged in the background. Developers plug in through one consistent JSON API covering geocoding, reverse geocoding in batches, coverage checks, and every map capability, documented as a public OpenAPI reference. Because every dataset lives on the box, the map keeps answering during outages and inside private networks. 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.

GeoLook shows you what AI search engines actually say about your brand, then turns that uncomfortable answer into a fix list you can work through and verify. You sample real answers across a wide matrix of AI engines and watch mention rate, ranking, and citation share appear per engine, with raw answer replay when a number looks suspicious. Competitor tables reveal which rival each engine prefers and which citation sources they rely on that you do not. A structured question bank sorts buyer, education, and probing questions, flagging the ones where you are absent, outranked, or described negatively. The site audit checks whether crawlers can reach, understand, and quote your pages, in the order those failures actually block visibility. Findings become tickets with an owner, effort estimate, risk grade, and acceptance check, and later sampling rounds confirm whether a fix worked or reopen the ticket when results slip. A content workbench ranks the topics most worth writing, checks drafts for citability, and prepares assets such as llms.txt and structured data snippets for publishing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.