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anisotropi4
kingfisher
Python2024–2024
anisotropi4 / kingfisher

kingfisher

ORR FY2018/19 to FY2023/24 passenger travel data projected onto the centre-line track-model

9Distinct people
9Mentions
0Explicit recommenders
129GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

ORR FY2018/19 to FY2023/24 passenger travel data projected onto the centre-line track-model

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour9 dated mentions

Observed mentions: 2024-01-03 10:37:52 UTC to 2024-01-03 13:43:28 UTC.

01232024-01-03 10:00:00 UTC to 2024-01-03 11:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 commentsJan 3, 10:002024-01-03 11:00:00 UTC to 2024-01-03 12:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsJan 3, 11:002024-01-03 12:00:00 UTC to 2024-01-03 13:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-03 13:00:00 UTC to 2024-01-03 14:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsJan 3, 13:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 3, 10:002024-01-03 10:00:00 UTC2024-01-03 11:00:00 UTC312
Jan 3, 11:002024-01-03 11:00:00 UTC2024-01-03 12:00:00 UTC202
Jan 3, 12:002024-01-03 12:00:00 UTC2024-01-03 13:00:00 UTC202
Jan 3, 13:002024-01-03 13:00:00 UTC2024-01-03 14:00:00 UTC202

What Hacker News says

9 sources
the explanation of this is in the main repo https://github.com/anisotropi4/kingfisher/tree/main it's the passenger journey data overlaid on the map of tracks, where the thickness is number of journeys. so drilling into a station like EXD (Exeter St David's) shows lines going to Aberdeen... there is no route between Exeter and Aberdeen, this is just a journey involving multiple changes. so what you're seeing for a station is where people travel to, and the volume of journeys on those segments of line, given the station as a starting point. I couldn't trivially determine whether it reflects all through journeys for a station (start point, destination point, stop on an through journey), it may well do so.
In UK 2022 rail station flow images

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