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GTFSwizard

1.2.1Package record

Creating, Exploring, and Manipulating GTFS Files

0packages depend
1.3Kdownloads / year
83.9%test coverage
13/13flavors OK

Overview

About

Creating, exploring, analyzing, and manipulating General Transit Feed Specification (GTFS) files, which represent public transportation schedules and geographic data. The package allows users to filter data by routes, trips, stops, service dates, and time, generate spatial visualizations, and perform detailed analyses of transit networks, including headway, dwell times, route frequencies, service span, scheduled vehicle-hours, and trip duration. Methods follow common public transport planning and operation concepts described in Ceder (2007, ISBN:978-0-7506-6166-6), Vuchic (2005, ISBN:978-0-471-63265-8), Vuchic (2007, ISBN:978-0-471-75823-5), Cascetta (2009) doi:10.1007/978-0-387-75857-2, and Gentile and Noekel (2016) doi:10.1007/978-3-319-25082-3.

Changes in 1.2.1
  • Refreshed the README figures and package website from the current plotting code, and added a reproducible figure-generation script for maintainers.
  • Improved the year-faceted service calendar for dense feeds and retained the supplied object name in the explore_gtfs() dashboard.
  • Organized the package website by workflow, added task-based function reference sections, and added vignettes for getting started, service analysis, filtering and editing, and the interactive dashboard.
  • Standardized public method values with underscores: by_trip, by_route, by_hour, by_stop, and by_shape. Legacy dotted values remain accepted.
  • Standardized public argument names including file_path, gtfs_x, gtfs_y, max_dwelltime, and min_length, with compatibility aliases for previous names.
Show all changes in 1.2.1Hide the rest of the changes in 1.2.1
  • Improved tidy_raptor() validation, transfer handling, date selection, and output column names.
  • Added planning indicators to explore_gtfs(), including scheduled headway, commercial speed, service span, vehicle-hours, peak fleet, stop spacing, and route connectivity.
  • Calendar and service-pattern summaries now represent dates with no active service explicitly: trip counts are 0, and the service pattern is labeled "No service".

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 6.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK6 OK2026-06-23
Advisories

none known

Documentation

In release 1.2.1
READMENoVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 1.2.1Citation fileYes · software entry onlyWebsiteYes · pkgdown
Help pages
44 (1 internal)includes a package overview page
Examples that run
100%42 run in a plain check (1 of them under a condition)
Exported functions with examples
100%
Documented parameters
92%
Return-value docs
100%
Help pages citing references
27%

Downloads

1.3K
CRAN downloads in the past year
Rank #11,923 · ~4/day · ~108/mo
Daily download trend is not available in this view yet.
28230 days
92390 days
1.3K1 year
Compare downloads with other packages →
Also on120 r2u6 autocran

Repository

8Stars
1Forks
0Open issues
0Open PRs
0Releases
479Commits
4Commit identities
gtfstransit
479 commits · Last activity 2026-10-19 · +14.3% stars, 30d · Default branch at 1.2.2, ahead of CRAN 1.2.1 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
50%
Median days to close, 50 most recently updated closed issues
227
Median days to close, 50 most recently updated closed PRs
56

Stars over time

2025-08-22 · 32026-10-21 · 8
PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/opatp/gtfswizard on 2026-10-22.

Docs source (2)
pkgdown

GitHub Pages site last deployed 2026-10-19

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing GTFSwizard adds 43 packages (27 with compiled code, 54 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer · added in 1.2.0
Author · added in 1.2.0
Author · added in 1.2.0

Maintainer since 1.0.0 (2024)

Listed in earlier versions (2)
Caio G. C. Guimarães
no longer listed · 1.0.0 to 1.1.0
no longer listed · 1.0.0 to 1.1.0
Releases (4)

Pick two releases to compare their code metrics.

  • 1.2.1Latest
    record
    2026-08-21 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-06-22
  • 1.2.0
    record
    first seen 2026-06-22 · diff ↗ ·
    added 5 exports
    create_gtfs, plot_routeduration, plot_serviceheatmap, plot_servicespan, plot_servicesupply
  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2025-09-09
    requires archived package 'hrbrthemes'
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.0
    record
    2025-03-15 · diff ↗ ·
    added 10 exports
    edit_dwelltime, edit_speed, get_1stdeparture, get_corridor, get_hubs, latlon2epsg, plot_corridor, plot_hubs, set_dwelltime, tidy_raptor
  • 1.0.0
    record
    2024-11-11
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-11-11
Total releases
4 / 2 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Bundled data
2.2 MB / 2 files
Download size
2.4 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("GTFSwizard")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.32614/cran.package.gtfswizard.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GTFSwizard version 1.2.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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