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.

Commercial flight logbooks frequently lock historical travel records behind annual subscriptions or shut down unexpectedly, whereas AirTrail preserves your complete aviation history on an interactive world map under your own control. Enter a flight number to look up routes automatically or log departures manually with seat numbers, cabin classes, aircraft registrations, timestamps, notes, and custom metadata fields. Switching from another tracker takes seconds: the built-in importer ingests CSV, ICS, and JSON exports from MyFlightradar24, Flighty, App in the Air, OpenFlights, TripIt, JetLog, byAir, and JetLovers. The vector map renders geodesic flight paths, recorded GPS tracks, and airport runway details across customizable basemaps. Detailed statistics dashboards break down total distance flown, time in the air, top airlines, aircraft models, and visited countries. Families and travel groups can share a single instance with role-based permissions, OAuth single sign-on, and read-only public links, while developers automate entries through the versioned REST API or Model Context Protocol server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Wanderer provides a privacy-first alternative to AllTrails and Komoot, giving outdoor enthusiasts complete ownership of their GPS data on a self-hosted server. The platform accepts uploads in GPX, KML, FIT, and TCX formats, automatically extracting distance, elevation gain and loss, duration, and speed statistics to build a searchable trail catalogue. The built-in route planner uses the Valhalla routing engine to calculate hiking, cycling, and walking routes directly on the map, while MapLibre GL renders smooth vector tiles from OpenStreetMap data with configurable tile sources and overlay layers. Each trail supports rich metadata including difficulty ratings, categories, waypoints with descriptions, photo galleries, and summit log entries that track completion dates with optional GPS data. Meilisearch powers instant full-text search across trail names, descriptions, and tags, complemented by map-based spatial filtering and advanced date, distance, and elevation filters. The ActivityPub integration follows the same federation protocol as Mastodon, allowing users to follow explorers on other Wanderer instances and see their public trails, comments, and summit logs in a unified feed without requiring cross-instance accounts. The WASM-based plugin system enables third-party extensions for custom integrations. The Docker Compose stack runs three containers — SvelteKit frontend on port 3000, PocketBase backend with embedded SQLite, and Meilisearch — with startup completing in under 90 seconds. On RepoCloud, deploy Wanderer on a dedicated VPS with root SSH access, persistent storage for your trail database and uploaded photos, and complete control over routing, geocoding, and tile server configurations, all under the AGPL v3 license.

A personal Strava on your own server: Endurain is a self-hosted fitness platform that keeps your complete workout history, GPS routes, and health data out of a vendor's cloud. It ingests the standard device formats (.gpx, .tcx, and preferred .fit with full sensor data) via manual or bulk upload, and syncs directly with Strava and Garmin Connect so migrating years of history is straightforward - Garmin sync covers activities, gear, and body composition. The dashboard shows activity feeds with weekly and monthly statistics, routes on maps, and distance, speed, and training-volume trends over time, with definable goals that update automatically. Gear tracking is notably deep: log wetsuits, bicycles, shoes, racquets, skis, and snowboards, assign default gear per activity type, and track individual components like bike chains against replacement mileage. Multi-user support with admin and user roles, follower features, per-activity privacy settings, and configurable sign-up (email verification, admin approval) make it usable for clubs and coaches as well as individuals. Auth is serious for a fitness app: MFA TOTP, OIDC/SAML SSO, and email-based password resets via Apprise. The stack is Vue.js over a Python FastAPI backend with PostgreSQL, plus weight, steps, and sleep logging, imperial/metric units, multi-language support, and third-party app integration.

Cyclists, runners, hikers, and kayakers can log every GPS route in FitTrackee, a workout tracker where each workout stays private until shared. Upload a GPX, FIT, KML, KMZ, or TCX file and the workout appears with a map and charts. Zip archives and manual entry work too. Charts plot speed or pace, elevation, heart rate, cadence, and power on one graph or several. Each workout holds 20 photos at most, and photos with GPS coordinates appear on the map. Twenty-seven sports are available, including cycling, running, kayaking, and swimrun. Shoes, bikes, and boards each tally distance, duration, and workouts, and sports can have default equipment. The dashboard shows a monthly chart and a calendar of workouts and records, and statistics group totals by day, week, month, year, or sport. Filters narrow the workouts list by date, sport, equipment, location and radius, distance, or speed, and results can be mapped. A global map plots workouts, filtered by date and sport. Workout data, charts, map, and photos each get a visibility setting: private, followers only, or public. Follow requests need approval by default, and unwanted users can be blocked. Comments accept limited Markdown, and the five latest public workouts publish as an Atom or RSS feed. Data export bundles an account's workouts and uploaded files. 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.

Whether it is a delivery van, a trailer in a storage yard, or a dog on a hike, Traccar is the GPS tracking server that puts it on one live map you host and control. Every position and event lands in your own SQL database. Over 200 protocols covering 2000+ tracker models decode out of the box, so a Teltonika fleet unit and a budget dongle share one device list. Pick a device to see speed, address, ignition, and total distance. Routes replay on a timeline slider, and a ruler tool measures distances. Geofences can be polygons, polylines, or circles, linked to devices or groups, colored as you like, and limited by calendar schedules. Alerts for overspeed, fuel drops, offline devices, alarms, and maintenance arrive by web, email, push, SMS, Telegram, or WhatsApp. Reports cover trips, stops, summaries, charts, events, and positions, with Excel export and scheduled email delivery. Commands go out over the tracker's own connection or by SMS, queued for offline devices. Computed attributes derive ignition or fuel values from raw inputs using expressions. Resellers get admin, manager, user, and read-only roles with device limits, plus white-label branding. Traccar Client lets a smartphone report as a tracker, and Traccar Manager monitors devices from mobile. Teams who want AI assistants to query their devices can add the MCP endpoint, which is optional. 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.

Reitti turns raw GPS coordinates from your phone and fitness trackers into an interactive daily timeline and private map that replaces Google Timeline and Life360 without sending your movement history to third-party clouds. Every coordinate you record is analyzed automatically to detect stationary visits, recognize significant places, and classify trips between walking, cycling, and driving with exact duration and distance metrics. Stream real-time updates from OwnTracks, GPSLogger, Overland, or Home Assistant, or upload historical archives from GPX files, GeoJSON, Google Takeout, and Google Timeline exports. Switching between a smartphone and a dedicated cycling computer never fragments your history. The visual workbench lets you stitch multi-device recordings across any time range, drag misplaced GPS points into position on the map, and delete signal outliers with a single click. Connect a self-hosted Immich server so geotagged photos appear directly alongside the routes and stops where you captured them. Turn memorable trips into narrative travel logs with customizable text, map, and photo blocks. Need to coordinate a meetup or share your arrival time? Share live positions with family members on the same server, federate across trusted instances, or send revocable magic links to friends without accounts. Customize your view with custom vector styles from MapTiler or Stadia Maps and explore movement statistics across top destinations. 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.

With over 9,000 GitHub stars earned since Google killed its browser-based Timeline, Dawarich fills the gap with a fully self-hosted location history platform that keeps your movement data under your control. Built on Ruby on Rails 8.0 with PostgreSQL and the PostGIS spatial extension for geometry-based queries, Dawarich imports your entire Google Takeout location archive in minutes and begins rendering interactive maps immediately. The visualization engine supports five map layers — heatmaps, points, lines, Fog of War exploration tracking, and a 3D globe view — each powered by Leaflet and spatial SQL rather than browser-side computation. Native iOS and Android apps handle background GPS tracking with offline support, automatically uploading location points when connectivity returns, while third-party integrations support OwnTracks, GPSLogger, Overland, Home Assistant, Traccar, and PhoneTrack. The trip system lets you create route visualizations between any two dates, attach notes, replay travel paths with a timeline scrubber, and share trips publicly with phrase-protected links and per-section visibility controls. Immich and PhotoPrism integrations automatically overlay geotagged photos on your maps and trips, while AirTrail integration renders flight history as arcs. Statistics dashboards break down countries visited, cities explored, total distance traveled, and active days by year and month, with visit detection suggesting places you have frequented. 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.

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.

High-resolution weather forecasts became a free commodity because of Open-Meteo - and this deployment puts the whole open-source engine on your own infrastructure. The public open-meteo.com service aggregates national weather models (NOAA GFS, DWD ICON, ECMWF, Meteo-France, and others) into one consistent JSON interface; self-hosting gives you that same API without rate limits, third-party dependency, or usage metering. The architecture is two cooperating services: the API server exposes forecast endpoints fully compatible with Open-Meteo query parameters - latitude, longitude, hourly and daily variables like temperature, precipitation, wind, and radiation - while a background sync worker downloads fresh weather model data on a configurable interval into a shared persistent volume at /app/data, so forecasts stay current and survive restarts without re-downloading. You control which weather models to mirror, which variables to store, how much historical depth to keep, and how often to refresh - meaning a lean deployment can sync only the model and region you actually query. Responses are plain HTTP/JSON, so integration with dashboards, Home Assistant-style automations, agricultural monitoring, IoT fleets, or any application takes minutes. For anyone making thousands of forecast calls a day, replacing a metered weather API with your own instance turns a recurring bill into a flat infrastructure cost.