GraphSCC VS build

Compare GraphSCC vs build and see what are their differences.

GraphSCC

Tarjan's algorithm for computing strongly connected components (by yav)
Algorithms
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build

Build Systems à la Carte (by snowleopard)
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GraphSCC build
- 1
5 232
- -
0.0 2.8
almost 11 years ago 2 months ago
Haskell TeX
BSD 3-clause "New" or "Revised" License MIT License
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GraphSCC

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

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

build

Posts with mentions or reviews of build. We have used some of these posts to build our list of alternatives and similar projects.
  • Build systems à la carte (2018)
    1 project | news.ycombinator.com | 16 Apr 2023
    Code is available at https://github.com/snowleopard/build

    I skimmed the paper - this is interesting on many aspects but I liked the breadth of what they analyzed... they use Excel as one of the examples!

    I know it is a valuable skill to be able to efficiently break down problems into abstractions but I suspect you would still end up with "porcelain"[0] that would hide so much of this it might not be worth it. Or maybe it is so generic it becomes a standard of sorts (or certainly a standard way of doing things) with flavors of implementations on top of it?

    In the conclusion they say:

    > ... a simple recombination leads to a design for a monadic suspending cloud build system ...

    Totally over my head as I still don't grok monads despite my belief I use them or something very close to them all the time without realizing it. I could not implement one. Anyway, I digress... neat paper and I will keep working on digesting it.

    [0] https://git-scm.com/book/en/v2/Git-Internals-Plumbing-and-Po...

What are some alternatives?

When comparing GraphSCC and build you can also consider the following projects:

graph-generators - A Haskell library for creating random Data.Graph instances using several pop

spacefill - Space-filling curves

exact-cover

text-metrics - Calculate various string metrics efficiently in Haskell

lca - Improves the known complexity of online lowest common ancestor search to O(log h) persistently, and without preprocessing

funsat - An efficient, embeddable DPLL SAT solver in Haskell

cmaes - CMA-ES wrapper in Haskell

nonlinear-optimization-ad - Several Haskell packages for numerical optimizations.

sgd - Stochastic gradient descent Haskell library

learning-hmm - Yet another Haskell library for hidden Markov models

GraphSCC vs graph-generators build vs spacefill GraphSCC vs exact-cover build vs text-metrics GraphSCC vs lca build vs funsat GraphSCC vs text-metrics build vs cmaes GraphSCC vs spacefill build vs nonlinear-optimization-ad GraphSCC vs sgd build vs learning-hmm