Strength training, cardio, and body metrics land in one workout log on your own server, backed by an optional AI coach that explains its advice from your real numbers. Quick entry such as 100x8@9 logs weight, reps, and effort in one line, with a rest timer, plate-loading calculator, and warm-up ramp beside the set table. A weight picker offers only loads your equipment can build, and a readiness check-in adjusts the suggested load and says why. Templates for 5/3/1 BBB, GZCLP, nSuns, PPL, and Upper/Lower run as written and edit like any custom program. Progress pages chart estimated 1RM, weekly volume per muscle group against MEV and MRV bands, a muscle heat map, bodyweight goals, and a training calendar. Garmin FIT, TCX, and GPX imports need no cloud account and add heart-rate charts and aerobic decoupling to each run or ride. The coach writes a weekly debrief, chats in a streaming conversation, and drafts a full program from a one-sentence goal, using your own Anthropic or OpenRouter key. History imports from Strong or Hevy CSV files with a dry-run preview and exports to CSV or TCX, and an MCP connector lets ChatGPT or other agents analyse it. The app installs as an offline-capable PWA, speaks English, French, Russian, and German, and keeps every user's data separate. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

openGym is a self-hosted gym and body-weight tracker that plans your weekly routines, guides every set with pre-filled weights and rest timers, and keeps your training data on a server you control instead of inside a subscription app. Over 5,600 exercises come with animated demos, searchable by body part and the equipment you own, and you can add custom ones with your own photo or video. Progression follows a rule you pick per routine (linear, Greyskull LP, double, triple, or added time), and each target explains where it came from. Supersets, warm-ups, drop sets, rest-pause, timed planks, and cardio by time and speed all log properly, and plate math shows what goes on each side of the bar. A muscle map shows where your volume went, what is still recovering, and what went untrained, beside estimated one-rep maxes, a year-long heatmap, and body weight charted against your goal. Imports from FitNotes, Strong, and Hevy carry your history over. Several people can share one server, each with a private passkey profile, and an optional admin dashboard handles invite-only signup. An optional AI coach, off by default, drafts routines and suggests changes through your own Anthropic, OpenAI, Gemini, or Ollama endpoint, and nothing applies without your approval. The interface speaks 19 languages. 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.

LiftTrace is a self-hosted weightlifting tracker that keeps your entire training history, programs, personal records, and progress photos on your own server in a single Docker container. Log every set with weight, reps, RPE, warm-up markers, and supersets, or type a line like bench 3x5 at 225 and let the Smart Log parser turn plain text or a voice note into structured sets. Follow multi-week programs where each week prescribes its own sets, reps, tempo, rest, and load, and watch the diary prefill today's session from the active template. Browse an exercise library merged from wger, Free Exercise DB, and ExerciseDB, add custom movements, or bulk import your own catalog from a spreadsheet. Automatic PR detection, estimated one-rep maxes, volume and frequency charts, and dated progress photos with a drag-to-compare view show how training is trending. The built-in Trace AI coach reads your workouts, programs, records, and body stats to answer questions, log sessions, and adjust plans through Claude, OpenAI, Gemini, or a local Ollama model. Coaches can prescribe workouts, leave notes on individual sets, and review filmed set videos with comments stamped at the moment that matters, all with explicit consent from the athlete. Import years of history from Strong, Hevy, FitNotes, Jefit, or Garmin FIT files, keep logging offline in the gym, and sign in with OIDC through Authentik, Keycloak, or Authelia. 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.

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.

Stop handing your daily food diary, body weight history, and biometric sleep data to ad-funded fitness clouds: NutriTrace brings complete calorie, macro, micronutrient, and wellness tracking to your own server with an offline-capable web PWA and native Android app. Log meals across customizable slots using live Open Food Facts and USDA FoodData Central lookups, barcode scanning, AI nutrition label OCR, or direct recipe imports from Mealie and CookTrace. Calorie and macro targets adjust automatically through three goal engines, including an inspectable Adaptive TDEE algorithm that regresses 35 days of intake against scale weight at 7,700 kcal per kilogram. Connect Fitbit via Google Health, Garmin, Withings, and Android Health Connect to pull steps, heart rate variability, sleep stages, and body composition into unified Sleep, Readiness, and Resilience scores. An integrated Trace AI assistant and Smart Log let you log meals by voice, text, or meal photo, while the opt-in Model Context Protocol server exposes 20 read, write, and management tools to Claude Desktop, Cursor, and Codex. Multi-user households get OpenID Connect SSO and one-step migration from MyFitnessPal, Cronometer, Lose It, and Waistline. 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.

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.

Serious endurance training should not require renting your own training history back by the month. OpenAthlete plans your season as blocks, weeks, and sessions, with A, B, and C races marked and illness or travel periods that move the sessions they cover. You build structured workouts from your own zones, pace, power, heart rate, or percentages of VMA and FTP, save them to a reusable library, and send them straight to Garmin, COROS, and Suunto watches at the next sync. Completed activities arrive from Garmin, COROS, Suunto, Polar, and Strava, or as FIT, GPX, and TCX files, and each interval is graded against what was planned. Analysis covers detected climbs, time in zones, aerobic decoupling, gradient-adjusted pace, and weather, with non-destructive fixes for heart-rate spikes. Progress views track records by distance and duration, critical speed and power, and fitness, fatigue, and form projected over your upcoming sessions, alongside HRV, resting heart rate, and sleep from your watch. Coaches see compliance, volume, and form for every athlete on one screen, get alerts for reported pain or inactivity, and exchange comments and real-time chat with athletes. A calendar feed keeps Google, Apple, and Outlook in step, and the web app installs on your phone home screen. 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.

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.

Coach Watts is a self-hosted AI endurance coach that reads your training, recovery, sleep, and nutrition data together and tells you, each day, whether to push or rest. Connect Intervals.icu, Strava, Whoop, Oura, Garmin, Withings, Wahoo, Polar, Fitbit, Hevy, Yazio, Rouvy, or Ultrahuman and every workout, HRV reading, sleep score, and meal lands in one athlete profile instead of fourteen separate apps. Each session gets a detailed breakdown with an execution score, and the performance view tracks Fitness, Fatigue, and Form alongside power curves so you can see a training block working, or quietly burying you. Daily recommendations weigh HRV and sleep before suggesting intensity, and the interactive chat answers questions against your own data when you want the reasoning behind a call. Adaptive plans generate around your schedule and goals, then adjust as life interferes. Nutrition tracking applies metabolic fueling logic that shifts between Eco, Steady, and Performance modes based on session intensity, so long rides get fed differently from recovery spins. Coaching alerts and system messages arrive in the dashboard, Telegram coaching is available for nudges on the move, and the whole platform speaks more than ten languages with timezone handling that follows traveling athletes. A Google account provides sign-in and the Gemini models behind the analysis, while your synced history stays in your own database. 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.

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.

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.

Your cycle history is among the most personal data you will ever record, and Ovumcy keeps it on a server you control instead of a tracker's cloud. Log period days, flow intensity, symptoms, and free-form notes in seconds from any browser, and define your own custom symptoms when the preset list misses something you feel. The calendar view lays out your month with predicted period, ovulation, and fertile-window days marked, while statistics views surface cycle length trends and patterns across months. Predictions come from your own logged history, refined when temperature or cervical-mucus entries sharpen the estimate. Reminders reach you three ways: a dashboard banner before an expected period, a webhook ping to your own ntfy or Gotify server, or a private read-only calendar subscription that drops estimates into the calendar app you already use. Install it to your phone home screen and it opens like a native app, in English, Russian, Spanish, French, German, or Italian. Export the full history as CSV or JSON whenever you want a backup or a change of tools. Optional OIDC sign-in and TOTP two-factor authentication protect access, and the app makes no analytics or telemetry calls at all. 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.