A browser-based user interface for creating, editing, exporting of static GTFS (General Transit Feed Specification Reference) feeds for a public transit authority.
Release Status : V 3.4.4 (live branch may be some commits ahead) Download from Releases page.
Initially developed for use by KMRL, the source code has been open-sourced so it can grow and get better with community inputs and help for creating GTFS feeds for other transit agencies too.
The GTFS data pre-loaded in the program is of Kochi Metro, Kerala, India which on March 16, 2018 became India's first transit agency to release its schedules data in the global standard static GTFS format as free and open data.
This program adheres strictly to the static GTFS (General Transit Feed Specification Reference) open transit data specs as published by Google Transit here: https://developers.google.com/transit/gtfs/reference/
Note: We have created a second complimentary application Payanam to address needs where a) the system is simple and routes don't have variations; b) properly mapped stops data is not available to begin with.
Payanam can take you from nothing up to a basic GTFS, and after that you can use this application to edit it. So check it out!
Lead programmer as of July 2019: Nikhil VJ from Pune, India.
See this and many more GTFS related resources listed on Awesome Transit, a one-stop community listing for all things GTFS.
Psst! Password is
(Updated, Oct 2018) Download the repo, unzip, and double-click GTFSManager.exe in the main program folder. It'll have an icon.
That's it, that should start the program! A dos box should open up giving console messages, and in a few seconds a new tab should open in your system's default web browser with the program loaded.
There will probably be a Windows Firewall popup. Click OK or cancel.. this program doesn't do any to-and-fro communication over internet, that's just a default question that comes up when a server is activated. (In our case we're creating a portable web server for the front-end and back-end partd of the program to communicate). It does need internet for loading the background tiles on web maps, but other than that the program can run without internet connection.
More notes on this, including some troubleshooting and watchouts, on the wiki.
See on the project wiki: Running on Ubuntu OS
See on the project wiki: Running on Windows OS with Python 3
See on the project wiki: Changind the password
The end output of this program is a gtfs.zip file having your transit agency's static GTFS data. See the Commit and Export GTFS section on the main page for the same.
From the main page, you can import your GTFS feed in a .zip file. Structure of a feed zip must be as per standard GTFS specs.
gtfs.zip ˪ stops.txt ˪ routes.txt ˪ trips.txt ˪ stop_times.txt ˪ ...
Some requirements, s'il vous plait !
stop_times.txtmust be sorted by
trip_id(you can open it in LibreOffice, or rename as .csv and open in Excel) before importing.
shapes.txtmust be sorted by
Kindly validate your GTFS zip prior to importing so you know in advance if there are any issues with the feed. And no worries, this tool is made FOR fixing bad feeds, the system will import whatever you give it. If you need to delete a lot of junk data in the feed, the Tools > Delete ID section will be your favorite place to be.
In the import process, the program creates a backup ZIP of the current data and then imports your data into its database. You can see the backup listed later on under Past Commits section on the home page.
Please see the Issues section for seeing existing program improvement efforts, feedback, questions. Please make sure you search through all the issues (click here for full list) before filing a new one : it might already be covered in another.
Invitation: This project invites active participation from professionals in the coding and GTFS fields to join in to take it forward. Please feel free to fork, write your fixes/enhancements and submit a pull request.
Moved to Wiki: Technical Overview
This project stands on the shoulders of several solutions that have been shared open source. Sharing mentions below.
tornadofor simple web server with asynchronous callback
pandasfor handling practically all the data to-and-fro, and for very efficient functions like unpivoting.
tables) for enabling pandas to work with high compression and high read/write speed .h5 format files.
tinyDBfor portable JSON database
pycryptodomexfor providing password encryption without the hiccups
In addition to this, there are several code snippets used throughout the program that were found from online forums like stackoverflow and on various tech blogs. The links to the sources of the snippets are mentioned in comments in the program files. Here is a shoutout to all the contributors on these forums and blogs : Thank You!
Big thanks to :