A lightweight Pandas-driven package for analyzing static GTFS feeds.

GTFS-Lite was created out of a desire to be able to quickly load static GTFS feeds into memory and ask specific questions about the dataset in the form of various metrics and manipulation. Examples include:

• Basic Summaries: Trip counts, spans, feed validity, distributions of trips
• Frequency Metrics: Frequency by time of day, route, or stop
• Counting Unique Trips at Stops Trip counts for a subset of stops
• Comprehensive date validation that takes into account calendar and calendar dates

You can find the docs here.

To get started:

• Install this package using pip install gtfs-lite.
• Load a feed directly from a zipfile with from gtfslite import GTFS
  and gtfs = GTFS.load_zip('path/to/file.zip')
• Access the various attributes, for example print(gtfs.summary())