baseball_saber
By michaelgaunt404
scheduling_r_scripts
[Moved to: https://github.com/RMHogervorst/scheduling_r_scripts] (by rmhogervorst)
baseball_saber | scheduling_r_scripts | |
---|---|---|
1 | 2 | |
0 | 42 | |
- | - | |
0.0 | 3.7 | |
over 2 years ago | over 3 years ago | |
R | ||
- | 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.
baseball_saber
Posts with mentions or reviews of baseball_saber.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-07.
-
How do you manage, distribute and schedule jobs written in R?
Sounds somewhat in the ball park - check out my repo.
scheduling_r_scripts
Posts with mentions or reviews of scheduling_r_scripts.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-07.
-
How do you manage, distribute and schedule jobs written in R?
Here is an overview https://github.com/rmhogervorst/scheduling_r_scripts/
-
Running an R Script every 10 minutes for a year or so
I found an overview with pros and cons for you: https://github.com/rmhogervorst/scheduling_r_scripts/ But basically there are 3 options: 1. Run it on your pc 2. Run it on another computer (server, pi, droplet whatever) 3. Use ephemeral things like gitlab actions, heroku, etc ( where you don't care about the underlying system)