Activity calendar
Scan Week, Month, and Year views with duration-scaled activity circles, period totals, activity-group bars, and day details.
Features
Features for endurance training data
Use Quantified Self to centralize provider activities, uploaded files, and saved routes, review workout history in an activity calendar, analyze training context, compare recordings, benchmark devices, and ask questions through the built-in Assistant or an MCP client you explicitly authorize.
Activity calendarTraining analysisTraining plansSupported activity typesAssistantMCP serverWorkout comparisonRoute filesBenchmarks
Analysis
Turn scattered training data into usable analysis
Bring workouts, routes, and files into one place, then choose the calendar, map, analysis, comparison, or AI view that answers your next question.
Training analysis
Compare current training with your usual workload, then inspect readiness, load, intensity, durability, sleep context, and selected historical builds.
Training plans
Create running, cycling, pool, and open-water plans or standalone structured workouts, then see them beside—not inside—your completed activity history.
Grounded Assistant
Ask follow-up questions about sleep, readiness, Training, measurements, activities, and routes, with the supporting data shown alongside each answer. Free accounts include 20 requests per calendar month.
Permission-scoped MCP access
Connect ChatGPT, Claude, or another compatible MCP client to analyze your training using only the data categories you approve.
Workout data comparison
Compare provider activities and uploaded files with overlays, stat deltas, source context, and benchmark-ready reporting.
One training archive
Keep provider activities, uploaded files, saved routes, maps, exports, training insights, and cross-service sync in one account.
Files and Devices
Compare any service data, device recording, or exported file
Manual uploads make the comparison workflow useful even when a device, lab system, reviewer unit, or service is not directly connected.
FIT, TCX, GPX, JSON, and SML uploads
Upload activity files, compare compatible streams, and keep manual uploads available on the free plan for up to 100 activities.
FIT, GPX, and TCX file analysis
Analyze uploaded workout files for maps, route context, charts, statistics, source files, exports, and reprocessing before using them in comparisons.
FIT course and GPX route files
Save route-only FIT and GPX files as first-class route records, keep original files available for download, and use the free plan for up to 10 saved routes.
Sports watch benchmark reports
Create repeatable evidence for device reviews, YouTube videos, blog posts, firmware tests, coaching notes, and sensor comparisons.
Provider data plus custom files
Put Garmin, Suunto, COROS, Wahoo, service exports, and one-off test files in the same comparison workflow without making one provider the source of truth.
FAQ
Features FAQ
What is the Training workspace?
Training is a curated analysis workspace for current versus usual workload, readiness context, load trends, intensity, durability, swimming pace, and selected historical build comparisons. Dashboard remains the configurable workspace.
What Quantified Self features should I start with?
Start with the activity calendar for a visual workout history, integrations for provider sync, workout file comparison for exported files, sports watch benchmarks for device evidence, the Assistant for built-in grounded answers, or the MCP server when you want to use a compatible external client with explicitly approved data and focused changes.
Can I compare custom files and provider data?
Yes. Quantified Self can compare compatible Garmin, Suunto, COROS, Wahoo, and uploaded FIT, TCX, GPX, JSON, and SML activity data in the same dashboard.
Which features are available on the free plan?
File uploads, training plans and standalone workouts, core analysis, benchmark comparisons, and 20 Assistant requests per calendar month are available on the free plan. Automatic provider sync and higher limits require a paid plan.
Next Step
Choose what you want to understand next
Explore your history in a calendar or map, analyze training, compare recordings, connect an AI tool, or bring another data source into your archive.