plurigrid

acsets-hatchery

Attributed C-Sets as algebraic databases. Category-theoretic data structures generalizing graphs and dataframes with Gay.jl color integration.

plurigrid 61 13 Updated 6mo ago
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Install

npx skillscat add plurigrid/asi/acsets-hatchery

Install via the SkillsCat registry.

About this skill

ACSets.jl implements attributed C‑sets, a category‑theoretic data structure that generalizes graphs and data frames by treating objects as tables and morphisms as foreign keys. It provides an efficient in‑memory relational database model with schema definitions, columnar storage, and serialization. Use it when you need to model relational data with graph‑like relationships in Julia.

SKILL.md

ACSets Hatchery

Overview

ACSets.jl provides acsets ("attributed C-sets") - data structures generalizing both graphs and data frames. They are an efficient in-memory implementation of category-theoretic relational databases.

Core Features

  • Acset schemas - Category-theoretic data structure definitions
  • Acsets - Instances of schemas (like database rows)
  • Tabular columns - Efficient columnar storage
  • Serialization - JSON/binary format support

What Are ACSets?

An ACSet is a functor from a category C to Set, with attributes. This means:

  • Objects become tables
  • Morphisms become foreign keys
  • Attributes add data types to objects

Usage

using ACSets

# Define a schema
@present SchGraph(FreeSchema) begin
    V::Ob
    E::Ob
    src::Hom(E, V)
    tgt::Hom(E, V)
end

# Create an acset
g = @acset Graph begin
    V = 3
    E = 2
    src = [1, 2]
    tgt = [2, 3]
end

Extensions

  • Catlab.jl - Homomorphisms, limits/colimits, functorial data migration
  • AlgebraicRewriting.jl - DPO/SPO/SqPO rewriting for acsets

Learning Resources

  1. Graphs and C-sets I - What is a graph?
  2. Graphs and C-sets II - Half-edges and rotation systems
  3. Graphs and C-sets III - Reflexive graphs and homomorphisms
  4. Graphs and C-sets IV - Propositional logic of subgraphs

Gay.jl Integration

# Rec2020 wide gamut with acset seed
gay_seed!(0xb4545686b9115a09)

# Mixed mode checkpointing
params = OkhslParameters()
∂params = Enzyme.gradient(Reverse, loss, params, seed)

Citation

Patterson, Lynch, Fairbanks. Categorical data structures for technical computing. Compositionality 4, 5 (2022). arXiv:2106.04703

Repository

  • Source: plurigrid/ACSets.jl (fork of AlgebraicJulia/ACSets.jl)
  • Seed: 0xb4545686b9115a09
  • Index: 494/1055
  • Color: #204677

GF(3) Triad

algebraic-rewriting (-1) ⊗ acsets-hatchery (0) ⊗ gay-monte-carlo (+1) = 0 ✓

Related Skills

  • acsets-algebraic-databases - Full ACSet guide
  • specter-acset - Bidirectional navigation
  • world-a - AlgebraicJulia ecosystem