tangero

tangero / jizdni-rady-czech-republic

Public

GTFS dataset pro Českou republiku - agregovaná data veřejné dopravy (MHD + regionální)

33
1
100% credibility
Found Feb 10, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of scripts that merge multiple public transportation timetable datasets from the Czech Republic, deduplicating stops and separating city and regional services into unified formats.

How It Works

1
🔍 Discover the timetable organizer

You find a free tool that combines bus, tram, and train schedules from across the Czech Republic into one neat set.

2
📥 Gather transport schedules

Collect timetable files from city services, regional lines, and national providers like Prague transport.

3
📂 Place files in folders

Put the schedule files into simple folders labeled for city, country-wide, and Prague data.

4
🚀 Start the combining process

Launch the tool to automatically merge everything together.

5
✨ Smart cleanup happens

The tool matches identical stops across sources, gives them unique names, and sorts routes into city and long-distance groups.

6
📊 Review organized results

Check the new folders with clean city transport, regional trips, and a full combined set.

✅ Perfect schedules ready

You now have unified, easy-to-use transport timetables for planning trips or building maps anywhere in Czechia.

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AI-Generated Review

What is jizdni-rady-czech-republic?

This Python project aggregates GTFS data from multiple Czech public transport sources, including urban MHD and regional dopravy feeds, into clean, unified GTFS datasets. It deduplicates stops by name, remaps IDs across providers, and splits output into three folders: mhd for city buses/trams, regional for longer routes, and merged for everything. Developers get ready-to-download GTFS dataset for the Czech Republic, solving the hassle of manually merging inconsistent feeds from various jizdni rady.

Why is it gaining traction?

Unlike scattered GTFS data github repos or basic gtfs dataset download links, it auto-categorizes routes into MHD vs regional, handles transfers, and outputs validator-ready GTFS without errors. The trio of scripts—one basic, one memory-light, one pandas-powered—lets you regenerate fresh data fast, hooking devs needing gtfs to network dataset from Czech transit sources. No fluff: run it, get production GTFS for routing or visualization.

Who should use this?

Transit app builders targeting Czech cities, like devs at mapping startups integrating public dopravy into navigation tools. Data scientists modeling gtfs to network dataset for urban planning simulations. Python scripters prototyping gtfs viewer github tools or realtime extensions with gtfs rt github feeds.

Verdict

Grab it if you're in Czech transit dev—18 stars and 1.0% credibility score signal early niche project with thin docs, but the output GTFS is solid and regeneratable. Skip for global needs; mature elsewhere.

(187 words)

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