{"id":32154625,"url":"https://github.com/logandgraham/stochasticprocesses","last_synced_at":"2026-02-18T09:38:50.479Z","repository":{"id":55630685,"uuid":"303423120","full_name":"LoganDGraham/StochasticProcesses","owner":"LoganDGraham","description":"A lightweight, efficient package for simulating stochastic processes on various domains.","archived":false,"fork":false,"pushed_at":"2020-12-15T00:07:40.000Z","size":1303,"stargazers_count":4,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-21T11:58:46.048Z","etag":null,"topics":["graphs","lightgraphs","random-walk","simulation","stochastic-processes"],"latest_commit_sha":null,"homepage":"","language":"Julia","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LoganDGraham.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-10-12T14:47:57.000Z","updated_at":"2025-03-14T02:02:29.000Z","dependencies_parsed_at":"2022-08-15T05:00:18.230Z","dependency_job_id":null,"html_url":"https://github.com/LoganDGraham/StochasticProcesses","commit_stats":null,"previous_names":[],"tags_count":6,"template":false,"template_full_name":null,"purl":"pkg:github/LoganDGraham/StochasticProcesses","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LoganDGraham%2FStochasticProcesses","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LoganDGraham%2FStochasticProcesses/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LoganDGraham%2FStochasticProcesses/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LoganDGraham%2FStochasticProcesses/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LoganDGraham","download_url":"https://codeload.github.com/LoganDGraham/StochasticProcesses/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LoganDGraham%2FStochasticProcesses/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":280256227,"owners_count":26299342,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-21T02:00:06.614Z","response_time":58,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["graphs","lightgraphs","random-walk","simulation","stochastic-processes"],"created_at":"2025-10-21T11:58:43.522Z","updated_at":"2025-10-21T11:58:49.495Z","avatar_url":"https://github.com/LoganDGraham.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# StochasticProcesses\n\nA lightweight, efficient package for simulating stochastic processes on various domains.\n\n## Installation\nInstallation is straightforward: enter Pkg mode by hitting `]`, and then run\n```julia-repl\n(v1.5) pkg\u003e add StochasticProcesses\n```\n\n## Basic Examples\nBring `StochasticProcesses`'s exported items into the namespace by running\n```julia-repl\nusing StochasticProcesses\n```\n\n### Random Walk\nInstantiate a one-dimensional random walk:\n```julia-repl\nrw = RandomWalk(1)\n```\n\nSimulate 20 realizations of the random walk `rw` and plot the results:\n```julia-repl\nplot(rw)\n```\n\nA pop-up window should render something like the following:\n\n\u003cimg src='/images/rw_example.png' width='800' height='500'\u003e\n\n### Poisson Process\nInstantiate a homogeneous Poisson process with arrival rate `1.0`:\n```julia-repl\npp = PoissonProcess(1.0)\n```\n\nSimulate 10 realizations of the Poisson process `pp` over the time interval `[0, 30]`, and\nplot the results:\n```julia-repl\nplot(pp)\n```\n\nA pop-up window should render something like the following:\n\n\u003cimg src='/images/poisson_process_example.png' width='800' height='500'\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flogandgraham%2Fstochasticprocesses","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flogandgraham%2Fstochasticprocesses","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flogandgraham%2Fstochasticprocesses/lists"}