StatsAPI.jl
A statistics-focused namespace for packages to share functions (by JuliaStats)
OnlineStats.jl
⚡ Single-pass algorithms for statistics (by joshday)
Our great sponsors
StatsAPI.jl | OnlineStats.jl | |
---|---|---|
1 | 1 | |
17 | 816 | |
- | - | |
2.6 | 4.9 | |
5 months ago | 12 days ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | 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.
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.
StatsAPI.jl
Posts with mentions or reviews of StatsAPI.jl.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Question: How to make method globally accessible (for interface/protocols/polymorphic types) and avoid "per-module" extension?
This is the usual way of doing things in Julia, and is why there are packages like StatsAPI.jl.
OnlineStats.jl
Posts with mentions or reviews of OnlineStats.jl.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing StatsAPI.jl and OnlineStats.jl you can also consider the following projects:
Starlight.jl - A greedy game engine for greedy programmers!
SeaPearl.jl - Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.