Basketball_Analytics VS kepler.gl

Compare Basketball_Analytics vs kepler.gl and see what are their differences.

Basketball_Analytics

Repository which contains various scripts and work with various basketball statistics (by danchyy)

kepler.gl

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets. (by keplergl)
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Basketball_Analytics kepler.gl
1 36
145 9,997
- 0.8%
4.1 9.2
3 months ago 7 days ago
Jupyter Notebook TypeScript
- 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.

Basketball_Analytics

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

kepler.gl

Posts with mentions or reviews of kepler.gl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-02.

What are some alternatives?

When comparing Basketball_Analytics and kepler.gl you can also consider the following projects:

sportsipy - A free sports API written for python

leaflet-locatecontrol - A leaflet control to geolocate the user.

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.

maps - A Mapbox react native module for creating custom maps

nba_api - An API Client package to access the APIs for NBA.com

3d-force-graph - 3D force-directed graph component using ThreeJS/WebGL

hoopR - An R package to quickly obtain clean and tidy men's basketball play by play data.

processing - Source code for the Processing Core and Development Environment (PDE)

openbiomechanics - The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.

motif.gl - Open source, no-code, network visualization tool for graph analysis and investigation

atlas - OSM in memory

blog - SZÉKELYDATA | Erdély, Székelyföld és a nagyvilág a Big Data korszakában