# graph-generators: Functions for generating structured or random FGL graphs

Generators for graphs. Supports classic (constant-sized) graphs, deterministic Generators and different random graph generators, based on mwc-random.

This library uses a library-agnostic and space-efficient graph
representation. Combinators are provided to convert said representation
to other graph representations (currently only FGL, see `Data.Graph.Generators.FGL`

)

Note that this library is in its early development stages. Don't use it for production code without checking the correctness of the algorithm implementation.

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## Modules

[Index]

## Downloads

- graph-generators-0.1.4.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)

#### Maintainer's Corner

For package maintainers and hackage trustees

Candidates

Versions [RSS] | 0.1.0.0, 0.1.1.0, 0.1.2.0, 0.1.3.0, 0.1.4.0 |
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Change log | changelog |

Dependencies | base (>=4.2.0.1 && <5.0), containers (>=0.3), directory, fgl (>=5.0), multiset (>=0.2), mwc-random (>=0.10) [details] |

License | Apache-2.0 |

Copyright | Copyright (C) 2014 Uli Köhler |

Author | Uli Köhler |

Maintainer | ukoehler@techoverflow.net |

Category | Graphs, Algorithms |

Home page | https://github.com/ulikoehler/graph-random |

Source repo | head: git clone https://github.com/ulikoehler/graph-generators |

Uploaded | by ulikoehler at 2018-06-08T21:21:49Z |

Distributions | NixOS:0.1.4.0 |

Reverse Dependencies | 1 direct, 0 indirect [details] |

Executables | TestGen |

Downloads | 3874 total (3 in the last 30 days) |

Rating | 2.0 (votes: 1) [estimated by Bayesian average] |

Your Rating | |

Status | Docs available [build log] Last success reported on 2018-06-08 [all 1 reports] |