Lyftr delivers a self-hosted workout and nutrition tracker that runs on a small VPS — no subscriptions, no vendor lock-in, no "export is a Pro feature" paywalls. The Go backend with Gin framework provides JWT authentication and a REST API while storing everything in a single SQLite database file you can back up with one copy command. The exercise library ships with 800+ movements auto-seeded on first run, letting you build reusable workout programs with target sets, reps, and weights from day one. Active workout mode provides a guided set-by-set flow through your session while Gym Mode offers a full-screen card layout showing one exercise at a time with an integrated rest timer for focused training. The React frontend built with TypeScript and Tailwind delivers a mobile-first interface featuring a dashboard with weekly session KPIs, daily calorie and protein tracking, 12-week consistency heatmap, volume trend charts, and muscle balance visualization with sparklines. Nutrition tracking connects to Open Food Facts for food search with camera-based barcode scanning, logging calories and macros across customizable meal sections. Bodyweight logging with trend graphs supports both lbs and kg units across all data. An Android APK connects to your self-hosted instance for native mobile access. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

No targets, no gamification spiral, no motivational nagging: Beaver Habit Tracker is a self-hosted habit tracker deliberately built without "Goals". The core loop is honest: add habits, check them off each day, watch streaks accumulate on a calendar view. Its design follows behavioral-science basics - make it obvious (visual streak cues), make it attractive (progress is the motivator), make it satisfying (tracking becomes its own reward). Beyond the daily checklist it supports per-day notes intelligently grouped per habit, periodic habits, habit categories and tags, drag-to-reorder (manual or automatic), dark mode, and detailed streak and frequency views. Data lives where you choose: a single SQLite database or flat JSON files on a mounted volume, with JSON export and import for full portability. A REST API opens automation - community integrations already cover Stream Deck buttons, Home Assistant triggers, and CalDAV. The Python app ships as one Docker container with no external dependencies; environment variables tune everything from first day of week and index-page columns to iOS standalone PWA mode, and single-user setups can bypass the login entirely with TRUSTED_LOCAL_EMAIL. BSD-3-Clause licensed with no commercial restrictions - a well-executed single-purpose tool whose mobile PWA works anywhere a browser does.

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.

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.

Your medical history, fragmented across a dozen patient portals, in one place on your server: MediKeep (formerly Personal Medical Records Keeper) is a self-hosted health record system. Built with a React frontend and FastAPI backend over PostgreSQL, it organizes 14 categories of medical data - medications with dosages and schedules, conditions, procedures, allergies, immunizations, symptoms, injuries, doctor visits and encounters, treatments, lab results, and even medical equipment with service dates and supplier info. Treatment management is genuinely sophisticated: an advanced mode links treatments to their medications with per-medication overrides for prescriber, pharmacy, and effective dates, and reverse lookup shows which treatments use a given medication. A dashboard summarizes records and recent activity, file uploads attach documents to records, and tagging works across categories. When a new specialist asks for your history, the report builder assembles custom reports by category and exports to PDF, JSON, or CSV - a curated, portable summary instead of a folder of photocopies. Authentication supports Google and GitHub SSO with OIDC providers like Keycloak and Authelia expected to work, and the built-in backup system protects the archive. Health data is exactly what should never live in someone else's cloud.

The deep end of self-hosted recipe management: Tandoor Recipes is a Django/Vue application that replaces Paprika, AnyList, and ad-choked recipe sites with a database you control. Import is where most people start: paste any URL and Tandoor scrapes schema.org markup for ingredients, instructions, images, times, and nutrition; bulk-paste URLs for batch import; or migrate wholesale from Mealie, Paprika, Nextcloud Cookbook, Pepperplate, and other managers with built-in importers. The structured recipe editor tracks ingredients individually, which is what powers everything downstream: full-text search with trigram similarity, a "what can I make with what's in the fridge" ingredient search, automatic nutrition via OpenFoodFacts, and shopping lists that merge duplicate ingredients across recipes, convert units, scale by servings, and sort by your supermarket's actual aisle layout. The weekly meal planner is drag-and-drop, feeds shopping lists automatically, exports to your calendar, and shows a nutritional summary for the week. Multi-user support comes with a granular permission system - shared household cookbooks, private recipes, even secret ones - and shopping lists sync in real time so two people can shop simultaneously. A full REST API integrates with Home Assistant and Grocy. For households serious about cooking, Tandoor's depth is unmatched.

Baby Buddy is a private self-hosted child care tracker that centralizes feeding sessions, sleep cycles, diaper changes, and developmental health milestones into a collaborative dashboard for parents and caregivers. Caregivers can start quick timers on mobile devices to measure nursing intervals, bottle feedings, naps, and tummy time sessions with single-tap precision. The dashboard automatically calculates daily averages, feeding amounts, and awake windows to help families establish consistent daily sleep and feeding routines. Parents can track diaper changes by recording wetness, stool consistency, and color anomalies to spot digestive health changes early. Physical measurements including weight, height, and head circumference plot directly against World Health Organization growth curves to visualize percentile progression between pediatric visits. Multi-child profiles allow families with twins or multiple young children to switch contexts instantly and monitor individual growth timelines. Granular user permissions let parents invite nannies, babysitters, and relatives with restricted logging permissions while keeping administrative settings private. The built-in REST API and webhook system enable physical smart button clicks and home automation routines to log events instantly without opening a browser. 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.