rdomains
Classifying the content of domains (by themains)
osrm
Interface between R and the OpenStreetMap-based routing service OSRM (by riatelab)
rdomains | osrm | |
---|---|---|
3 | 3 | |
53 | 226 | |
- | 0.0% | |
3.1 | 4.3 | |
about 1 year ago | about 1 year ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rdomains
Posts with mentions or reviews of rdomains.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-05.
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How do you store interest-based content? Do I store that content in separate filetype folders or a single folder with sub-directories for each media type?
If you want ideas for categories, have a look at the DMOZ category tree; looking for "electronics" plus some editing gave me this tree:
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Difference between tech and computer categories
https://github.com/themains/rdomains/blob/master/data-raw/dmoz/ has the full DMOZ tree, but it's about 5-6 years old.
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Hierarchy of files and folders question
If you want ideas for categories, have a look at the DMOZ category tree; it's huge but you can mess around with it. The important thing is, you're not being graded. What matters is whether this helps or hinders you when keeping track of your stuff -- if it doesn't, dump the part that fails and replace it.
osrm
Posts with mentions or reviews of osrm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-14.
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Using R to Cluster Points by Road Networks
OSRM: A super fast and easy to use routing engine that runs on OSM data. You only need to run 5 lines of code to (1) download a .pbf from Geofabrik, (2-5) download the OSRM docker image and pre-process the OSM data. There are also 3 profiles predefined that you can use: car, bike, foot (e.g. foot.lua). It basically hosts a local server. I find the easiest way is to combine it with the osrm R package. I have seen you also need to adjust for the elevation. I think I have seen some custom LUA profiles that also account for DTM derived elevation changes as an additional weight.
- how to extract shortest path between two nodes from a given base road network?
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Connecting Points on a Map
- https://github.com/riatelab/osrm/issues/41
What are some alternatives?
When comparing rdomains and osrm you can also consider the following projects:
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
wooldridge - The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.
expedition-diaries - Expedition Diaries' website back-end and front-end
cppRouting - Algorithms for Routing and Solving the Traffic Assignment Problem
sfnetworks - Tidy Geospatial Networks in R