build VS GraphSCC

Compare build vs GraphSCC and see what are their differences.

build

Build Systems à la Carte (by snowleopard)
Algorithms
Source Code
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GraphSCC

Tarjan's algorithm for computing strongly connected components (by yav)
Algorithms
Source Code
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build GraphSCC
1 -
230 5
- -
2.8 0.0
about 2 months ago almost 11 years ago
TeX 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.

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...

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.

What are some alternatives?

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

spacefill - Space-filling curves

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

text-metrics - Calculate various string metrics efficiently in Haskell

exact-cover

funsat - An efficient, embeddable DPLL SAT solver in Haskell

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

cmaes - CMA-ES wrapper in Haskell

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

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

sgd - Stochastic gradient descent Haskell library

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