strava

What problem does it solve?

Access to Strava data and insights without manual data pulling, enabling quick visibility into activities, performance, and athlete stats.

Core Features & Use Cases

• Athlete data access: Retrieve the current user's profile and aggregated statistics for performance tracking.
• Activity discovery: List recent activities with key metrics (distance, duration, pace) to review training history.
• On-demand analysis: Run inline Python scripts using stravalib to fetch and summarize data for decision making.
• Use Case: Quickly review last 5 rides and runs and compute total distance and average pace.

Quick Start

Ask Strava to fetch your latest 5 activities and show their names and distances.