SciFlow VS capability

Compare SciFlow vs capability and see what are their differences.

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SciFlow capability
- 1
50 213
- 0.5%
0.0 2.7
over 1 year ago 4 months ago
Haskell Haskell
MIT 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.

SciFlow

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

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

capability

Posts with mentions or reviews of capability. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-02.

What are some alternatives?

When comparing SciFlow and capability you can also consider the following projects:

abstract-par

mtl - The Monad Transformer Library

parallel - a library for parallel programming

assert-failure - syntactic sugar that improves the usability of 'assert' and 'error' in Haskell

lens-tutorial - The missing tutorial module for the lens library

hpc-coveralls - coveralls.io support for haskell code coverage with hpc

ComonadSheet - A library for expressing "spreadsheet-like" computations with absolute and relative references, using fixed-points of n-dimensional comonads.

operational - Implement monads by specifying instructions and their desired operational semantics.

extensible-effects - Extensible Effects: An Alternative to Monad Transformers

ifcxt - constraint level if statements

effect-monad - Provides 'graded monads' and 'parameterised monads' to Haskell, enabling fine-grained reasoning about effects.

machines - Networks of composable stream transducers