osmnx-examples VS ppde642

Compare osmnx-examples vs ppde642 and see what are their differences.

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osmnx-examples ppde642
3 14
1,457 1,254
- -
7.8 7.8
17 days ago 4 days ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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.

osmnx-examples

Posts with mentions or reviews of osmnx-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-22.
  • Second MYOG project
    1 project | /r/myog | 12 Oct 2022
    For the actual printing I used ripstop by the roll custom print service. To render the image to be printed I used an open source too, https://github.com/gboeing/osmnx
  • Algorithms for efficiently, and accurately, computing distances on an ellipsoid
    1 project | /r/compsci | 19 Dec 2021
    IIRC, it can generate graphs that are both unprojected and projected and convert between them, so it might be worth looking into the source code of it if you think that sounds like what you're looking for on the OSMNX GitHub repo
  • Mapping the Hidden Patterns of Cities
    2 projects | /r/urbanplanning | 22 Sep 2021
    Geoff Boeing, the original author, provided an iPython notebook so you can run this yourself, but this script a friend of mine wrote may make it a bit simpler to run, if you wanna give it a shot yourself.

ppde642

Posts with mentions or reviews of ppde642. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing osmnx-examples and ppde642 you can also consider the following projects:

osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

langchain-course - Learn to build and deploy AI apps.

analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico

kaggle-courses - Courses on Kaggle

ijava-binder - An IJava binder base for trying the Java Jupyter kernel on https://mybinder.org/

human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)

r5 - Developed to power Conveyal's web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is our routing engine for multimodal (transit/bike/walk/car) networks with a particular focus on public transit

LlamaIndex-course - Learn to build and deploy AI apps.

prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

bulgarian-city-coat-of-arms - Векторни файлове на емблеми и гербове на български градове

city-street-orientations - Playing with OSMnx

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