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Its aims are to be easy to use, generic, and\nfast.\n\nSee the [documentation](https://mtsch.github.io/Ripserer.jl/dev) for more information and\nusage examples.\n\nIf you're looking for persistence diagram-related functionality such as Wasserstein or\nbottleneck distances, persistence images, or persistence curves, please see\n[PersistenceDiagrams.jl](https://github.com/mtsch/PersistenceDiagrams.jl).\n\n## Quick start\n\nThis package is registered. To install it, run the following.\n\n```julia\njulia\u003e using Pkg\njulia\u003e Pkg.add(\"Ripserer\")\n```\n\nNow, generate some data.\n\n```julia\njulia\u003e data = [(rand(), rand(), rand()) for _ in 1:200]\n```\n\nThe main exported function in this package is\n[`ripserer`](https://mtsch.github.io/Ripserer.jl/dev/api/ripserer/#Ripserer.ripserer). By\ndefault, it computes Vietoris-Rips persistent homology on point cloud data and distance\nmatrices.\n\n```julia\njulia\u003e ripserer(data)\n# 2-element Vector{PersistenceDiagrams.PersistenceDiagram}:\n#  200-element 0-dimensional PersistenceDiagram\n#  84-element 1-dimensional PersistenceDiagram\n```\n\n[Several other filtration\ntypes](https://mtsch.github.io/Ripserer.jl/dev/api/ripserer/#Filtrations) are supported. We\ntell `ripserer` to use them by passing them as the first argument.\n\n```julia\njulia\u003e ripserer(EdgeCollapsedRips, data)\n# 2-element Vector{PersistenceDiagrams.PersistenceDiagram}:\n#  200-element 0-dimensional PersistenceDiagram\n#  84-element 1-dimensional PersistenceDiagram\n```\n\nSometimes you may want to initialize a filtration in advance.\n\n```julia\njulia\u003e rips = EdgeCollapsedRips(data, threshold=1)\n# EdgeCollapsedRips{Int64, Float64}(nv=200)\n```\n```julia\njulia\u003e ripserer(rips, dim_max=2)\n# 3-element Vector{PersistenceDiagrams.PersistenceDiagram}:\n#  200-element 0-dimensional PersistenceDiagram\n#  84-element 1-dimensional PersistenceDiagram\n#  16-element 2-dimensional PersistenceDiagram\n```\n\nRipserer supports plotting with\n[Plots.jl](https://github.com/JuliaPlots/Plots.jl). Experimental\n[Makie.jl](https://github.com/JuliaPlots/Makie.jl) support is also available\n[here](https://github.com/mtsch/MakieRipserer.jl).\n\nPlotting persistence diagrams and barcodes is straightforward:\n\n```julia\nusing Plots\nresult = ripserer(data, dim_max=2)\nplot(plot(result), barcode(result)\n```\n![](docs/src/assets/readme-plot-1.svg)\n\n```julia\nbarcode(result)\n```\n![](docs/src/assets/readme-plot-2.svg)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmtsch%2FRipserer.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmtsch%2FRipserer.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmtsch%2FRipserer.jl/lists"}