integration VS statsample-timeseries

Compare integration vs statsample-timeseries and see what are their differences.

integration

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

statsample-timeseries

Bioruby Statsample TimeSeries (by SciRuby)
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integration statsample-timeseries
0 0
10 13
- -
0.0 0.0
about 7 years ago about 5 years ago
Ruby Ruby
See README.md. BSD 1-Clause 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.

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.

statsample-timeseries

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

We haven't tracked posts mentioning statsample-timeseries yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing integration and statsample-timeseries you can also consider the following projects:

minimization - Minimization algorithms on pure Ruby

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

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

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

distribution - Probability distributions for Ruby.

statsample-glm - Generalized Linear Models extension for Statsample

rb-gsl - Ruby interface to the GNU Scientific Library