GTFS viewer

A GTFS viewer online for transit planners, researchers, and enthusiasts to inspect feeds, examine routes, and analyze stop times without software installation.

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About This Tool

The GTFS viewer online loads a GTFS feed from a URL or file, parses core files, and exposes a structured data model that can be queried by date, route, and stop. It does not provide live transit data or realtime updates; it focuses on static feed inspection and analysis.\n\nConceptually, it ingests the feed, builds in-memory mappings between stops, routes, and trips, and derives timetables. Users can filter by date, route, or stop to see sequences of departures, headways, and service days. It supports offline analysis and API-ready outputs.\n\nWho benefits include transit agencies, consultants, researchers, and developers who need a fast, deterministic GTFS view without installing tooling. Unique value lies in offline accessibility, deterministic parsing, and structured outputs suitable for analytics pipelines. Core features include feed ingestion from URL or file, validation, date-based filtering, route/stop probes, and exportable JSON summaries. Typical use cases include QA checks, onboarding new feeds, comparing schedules across feeds, and preparing data for analytics pipelines.\n\nUse cases include data validation, schedule auditing, and cross-feed comparisons. Outputs are designed to feed downstream analytics, dashboards, or custom APIs, enabling rapid iteration during data onboarding and transit planning projects.

How to Use

  1. Provide inputs (feed_url or feed_file) to load a GTFS feed.
  2. Optionally specify date_time, route_id, and/or stop_id to focus the view.
  3. Initiate parsing to ingest and normalize the GTFS data.
  4. Review derived views and summaries for requested filters (routes, stops, and service days).
  5. Export results as JSON for API integration or further analysis.
How to use gtfs viewer online

Frequently Asked Questions

Find Quick Answers

What GTFS formats are supported?
The tool supports standard GTFS core files: stops.txt, routes.txt, trips.txt, stop_times.txt, calendar.txt, and calendar_dates.txt. It optionally accommodates calendar dates and basic validation of file structure and field presence.
Can I compare multiple feeds?
Yes. You can load multiple GTFS feeds and generate side-by-side views or exported JSON for each feed to compare routes, schedules, and service days. Live updates are not included; comparisons are based on static GTFS data.
How is time zone handled?
Times are interpreted using the feed's time zone when available. If a time zone is missing, the tool defaults to UTC for consistency. All date_time inputs are treated in ISO-like formats and mapped to the feed's service days.
Can results be exported?
Yes. Outputs such as parsed GTFS structures, filtered views, and summaries can be exported as JSON for integration with analytics pipelines, dashboards, or API consumption.

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