SoOSiM VS aivika-distributed

Compare SoOSiM vs aivika-distributed and see what are their differences.

SoOSiM

Abstract full system simulator (by christiaanb)

aivika-distributed

A parallel distributed discrete event simulation module for the Aivika library (by dsorokin)
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SoOSiM aivika-distributed
- -
8 1
- -
0.0 0.0
almost 11 years ago about 5 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" 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.

SoOSiM

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

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

aivika-distributed

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

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

What are some alternatives?

When comparing SoOSiM and aivika-distributed you can also consider the following projects:

hs-carbon-examples - Examples of Monte Carlo simulations written with Carbon

aivika - A multi-method simulation library

aivika-experiment - Simulation experiments for the Aivika library

aivika-experiment-chart - The charting components for the Aivika simulation library

require - 🔌 Scrap your qualified import clutter

hs-carbon - A Haskell framework for (parallel) Monte Carlo simulations

locators - Human exchangable identifiers and locators

hyperloglogplus - Haskell implementation of HyperLogLog++ & MinHash for efficient cardinality and intersection estimation