{"id":13699441,"url":"https://github.com/joshspeagle/dynesty","last_synced_at":"2025-05-04T16:34:30.524Z","repository":{"id":20463489,"uuid":"89981196","full_name":"joshspeagle/dynesty","owner":"joshspeagle","description":"Dynamic Nested Sampling package for computing Bayesian posteriors and evidences","archived":false,"fork":false,"pushed_at":"2024-10-28T03:01:42.000Z","size":150119,"stargazers_count":355,"open_issues_count":16,"forks_count":77,"subscribers_count":19,"default_branch":"master","last_synced_at":"2024-10-30T18:03:15.546Z","etag":null,"topics":["bayesian-inference","mit-license","model-selection","monte-carlo","nested-sampling","pure-python"],"latest_commit_sha":null,"homepage":"https://dynesty.readthedocs.io/","language":"Python","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/joshspeagle.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":"AUTHORS.md","dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-05-02T02:03:54.000Z","updated_at":"2024-10-29T07:46:07.000Z","dependencies_parsed_at":"2024-08-29T20:31:52.610Z","dependency_job_id":"e4bf4fa7-e025-4e3f-9170-7c0d5cf4e115","html_url":"https://github.com/joshspeagle/dynesty","commit_stats":{"total_commits":1201,"total_committers":39,"mean_commits":"30.794871794871796","dds":"0.26144879267277266","last_synced_commit":"3f100253dd53fd302ee84f7f25f010b3bf70ad29"},"previous_names":[],"tags_count":16,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joshspeagle%2Fdynesty","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joshspeagle%2Fdynesty/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joshspeagle%2Fdynesty/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joshspeagle%2Fdynesty/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/joshspeagle","download_url":"https://codeload.github.com/joshspeagle/dynesty/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224398825,"owners_count":17304661,"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","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":["bayesian-inference","mit-license","model-selection","monte-carlo","nested-sampling","pure-python"],"created_at":"2024-08-02T20:00:33.327Z","updated_at":"2025-05-04T16:34:30.515Z","avatar_url":"https://github.com/joshspeagle.png","language":"Python","readme":"[![Build Status](https://github.com/joshspeagle/dynesty/actions/workflows/test.yml/badge.svg)](https://github.com/joshspeagle/dynesty/actions/)\n[![Documentation Status](https://readthedocs.org/projects/dynesty/badge/?version=latest)](https://dynesty.readthedocs.io/en/latest/?badge=latest)\n[![Coverage Status](https://coveralls.io/repos/github/joshspeagle/dynesty/badge.svg?branch=master)](https://coveralls.io/github/joshspeagle/dynesty?branch=master)[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3348367.svg)](https://doi.org/10.5281/zenodo.3348367)\n\n\ndynesty\n=======\n\n![dynesty in action](https://github.com/joshspeagle/dynesty/blob/master/docs/images/title.gif)\n\nA Dynamic Nested Sampling package for computing Bayesian posteriors and\nevidences. Pure Python. MIT license.\n\n### Documentation\nDocumentation can be found [here](https://dynesty.readthedocs.io).\n\n### Installation\nThe most stable release of `dynesty` can be installed\nthrough [pip](https://pip.pypa.io/en/stable) via\n```\npip install dynesty\n```\nThe current (less stable) development version can be installed by running\n```\npython setup.py install\n```\nfrom inside the repository.\n\n### Demos\nSeveral Jupyter notebooks that demonstrate most of the available features\nof the code can be found \n[here](https://github.com/joshspeagle/dynesty/tree/master/demos).\n\n### Attribution\n\nIf you find the package useful in your research, please cite at least *both* of these references:\n* The original paper [Speagle (2020)](https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S/abstract)\n* The python implementation [Koposov et al. (2024)](https://doi.org/10.5281/zenodo.3348367) (the citation info is at the bottom of the page on the right)\n\n\nand ideally also papers describing the underlying methods (see the [documentation](https://dynesty.readthedocs.io/en/latest/references.html) for more details)\n\n### Reporting issues\n\nIf you want to report issues, or have questions, please do that on [github](https://github.com/joshspeagle/dynesty/issues).\n\n### Contributing\n\nPatches and contributions are very welcome! Please see [CONTRIBUTING.md](https://github.com/joshspeagle/dynesty/blob/master/CONTRIBUTING.md) for more details.\n","funding_links":[],"categories":["\u003cspan id=\"head30\"\u003e3.4. Bayesian Inference\u003c/span\u003e"],"sub_categories":["\u003cspan id=\"head31\"\u003e3.4.1. MCMC\u003c/span\u003e"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoshspeagle%2Fdynesty","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoshspeagle%2Fdynesty","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoshspeagle%2Fdynesty/lists"}