stats
An expressive crystal implementation of statistical distributions and usual math functions. :bar_chart: (by Nephos)
ishi
Graph plotting package with a small API and sensible defaults powered by gnuplot. (by toddsundsted)
| stats | ishi | |
|---|---|---|
| - | - | |
| 30 | 48 | |
| - | - | |
| 0.0 | 0.0 | |
| about 6 years ago | almost 5 years ago | |
| Crystal | Crystal | |
| GNU General Public License v3.0 only | 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.
stats
Posts with mentions or reviews of stats.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning stats yet.
Tracking mentions began in Dec 2020.
ishi
Posts with mentions or reviews of ishi.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning ishi yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing stats and ishi you can also consider the following projects:
crystal-learn - Machine Learning in Crystal
scorystal - Crystal Scoring API for PMML
machine - Simple machine learning algorithm for crystal lang
alea - Repeatable pseudo-random sampling, CDF over most known probability distributions.