integration VS distribution

Compare integration vs distribution and see what are their differences.

integration

Integration methods, based on original work by Beng (by SciRuby)

distribution

Probability distributions for Ruby. (by SciRuby)
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integration distribution
0 0
10 45
- -
0.0 0.5
about 7 years ago almost 2 years ago
Ruby Ruby
See README.md. 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.

integration

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

We haven't tracked posts mentioning integration yet.
Tracking mentions began in Dec 2020.

distribution

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

We haven't tracked posts mentioning distribution yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing integration and distribution you can also consider the following projects:

publisci - A toolkit for publishing scientific results to the semantic web

rb-gsl - Ruby interface to the GNU Scientific Library

statsample - A suite for basic and advanced statistics on Ruby.

statsample-timeseries - Bioruby Statsample TimeSeries

minimization - Minimization algorithms on pure Ruby

statsample-glm - Generalized Linear Models extension for Statsample

plotrb - A plotting library in Ruby built on top of Vega and D3.