parsel
parallel execution of RSelenium (by till-tietz)
nflfastR
A Set of Functions to Efficiently Scrape NFL Play by Play Data (by mrcaseb)
parsel | nflfastR | |
---|---|---|
1 | 7 | |
15 | 394 | |
- | 1.0% | |
4.4 | 8.1 | |
5 months ago | 7 days ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
parsel
Posts with mentions or reviews of parsel.
We have used some of these posts to build our list of alternatives
and similar projects.
nflfastR
Posts with mentions or reviews of nflfastR.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-05.
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Data for players on field play-by-play?
nflfastr has an extensive library of PlayByPlay, Roster, and Gamelog data that you can access programmatically via R.
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[OC] Cumulative Win Probability Added: AFC Bubble
For more on all this, here's the source of my data: {nflfastR}
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[OC] Cumulative Win Probability Added - AFC East, 2022
Source: {nflfastR} play-by-play and win probability models.
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Is there anywhere I can find the standard deviation of points and yards for each team in each game?
It's been superseded by nflfastR at least for the play by play stuff. You can also download the data directly, rather than using the scraping functions. https://github.com/nflverse/nfldata
- Best Data Source for NFL Play-by-Play
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Metric for how many different receivers quarterbacks utilize?
nflfastR is a database with play by play data going back to 1999, it has everything you'd need to create such a metric, but you gotta write the query yourself :)
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[OC] Superbowl Probability of Winning: Play-by-play
Data Source: nflfastr library: https://github.com/mrcaseb/nflfastR
What are some alternatives?
When comparing parsel and nflfastR you can also consider the following projects:
forecast - Forecasting Functions for Time Series and Linear Models
nfldata - NFL Data (by Lee Sharpe)