## simple-src-utils

simple-smt | simple-src-utils | |
---|---|---|

- | - | |

20 | 1 | |

- | - | |

0.0 | 0.0 | |

over 1 year ago | about 3 years ago | |

Haskell | Haskell | |

BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |

**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.

## simple-smt

**reviews of simple-smt**. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning simple-smt yet.

Tracking mentions began in Dec 2020.

## simple-src-utils

**reviews of simple-src-utils**. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning simple-src-utils yet.

Tracking mentions began in Dec 2020.

## What are some alternatives?

**dimensional**
- Dimensional library variant built on Data Kinds, Closed Type Families, TypeNats (GHC 7.8+).

**simple-text-format**

**diophantine**
- A quadratic diophantine equation solver

**simple**
- A minimal Haskell web-framework based on the WAI web server interface.

**regress**
- Linear and logistic regression through automatic differentiation

**simple-log**
- Simple logging in Haskell

**fad**
- Barak's Forward Automatic Differentiation

**simple-genetic-algorithm**
- Simple parallel genetic algorithm implementation in pure Haskell

**mixed-strategies**
- Mixed-strategy game solver in Haskell

**SIMPLE**
- Selfplay In MultiPlayer Environments

**linearEqSolver**
- Solve systems of linear equations, using SMT solvers.

**simple-neural-networks**
- Simple parallel neural networks implementation in pure Haskell