kepler.gl
Basketball_Analytics
Our great sponsors
| kepler.gl | Basketball_Analytics | |
|---|---|---|
| 36 | 1 | |
| 9,987 | 145 | |
| 0.7% | - | |
| 9.2 | 4.1 | |
| 8 days ago | 3 months ago | |
| TypeScript | Jupyter Notebook | |
| MIT License | - |
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.
kepler.gl
-
Noob here: Please tell me how can I integrate this type of map in my site? any js library?
This might help: https://kepler.gl/
-
Best option to represent data in a map?
https://kepler.gl/ ?
-
Where Do Stolen Bikes Go?
The line visuals at the bottom are not using Mapbox. Rather they're using the open source Kepler.gl [0], (a user-friendly wrapping of the deck.gl library [1]). These can use Mapbox for the underlying basemap, but the data rendering is done separately.
(This is easy to tell if you look at the page source. The map at the bottom is an embed from a static HTML kepler.gl map [2])
[0]: https://kepler.gl/
[1]: https://deck.gl/
[2]: https://senseable.mit.edu/bike-trafficking/assets/kepler.htm...
-
[OC] Blue Jay smart bird feeder visits in North America, December, 2022
Data taken from: https://live.mybirdbuddy.com/metadata/all\_metadata\_december.csv The tool used to generate the visual: https://kepler.gl/
-
[OC] My history of visited places in my hometown.
I exported my Google Maps Record and downloaded it. .json file is downloaded. Then we convert it into .CSV file using a Python script. And then to visualize, online web Kepler.gl is used.
- Kepler.gl - A powerful open source geospatial analysis tool for large-scale data sets.
- Kepler.gl is a open source geospatial analysis tool for large-scale data
- Kepler.gl
-
I want to learn how to make artful maps like these. Is GIS a good place to learn this, or another program?
If you know any python programming, check out Kepler. It was a part of Uber's mapping systems that became open source. It can make pretty good looking maps. https://kepler.gl/
-
Big Spatial Data Visualization using DeckGL - In this tutorial, we will explain how to process UK-Accidents(1.5 Million Points) spatial data using python and visualize it using DeckGL
Neat, also worth checking out is kepler.gl, and datashader
Basketball_Analytics
-
Selfpromotion Thread Refresh Youre Free To
Also, I post most, if not all code on my github, so if there are any coders feel free to take a look! :)
What are some alternatives?
leaflet-locatecontrol - A leaflet control to geolocate the user.
sportsipy - A free sports API written for python
maps - A Mapbox react native module for creating custom maps
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
3d-force-graph - 3D force-directed graph component using ThreeJS/WebGL
nba_api - An API Client package to access the APIs for NBA.com
processing - Source code for the Processing Core and Development Environment (PDE)
hoopR - An R package to quickly obtain clean and tidy men's basketball play by play data.
motif.gl - Open source, no-code, network visualization tool for graph analysis and investigation
openbiomechanics - The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.
atlas - OSM in memory
blog - SZÉKELYDATA | Erdély, Székelyföld és a nagyvilág a Big Data korszakában