{"id":17190990,"url":"https://github.com/dfm/python-nufft","last_synced_at":"2025-04-11T08:46:11.513Z","repository":{"id":25959191,"uuid":"29401007","full_name":"dfm/python-nufft","owner":"dfm","description":"Python bindings to a subset of the NUFFT algorithm","archived":false,"fork":false,"pushed_at":"2024-03-15T19:53:56.000Z","size":111,"stargazers_count":61,"open_issues_count":6,"forks_count":13,"subscribers_count":4,"default_branch":"main","last_synced_at":"2025-03-25T06:19:07.086Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Fortran","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dfm.png","metadata":{"files":{"readme":"README.rst","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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2015-01-17T18:27:44.000Z","updated_at":"2024-03-30T03:22:59.000Z","dependencies_parsed_at":"2025-01-30T05:41:31.682Z","dependency_job_id":"c391a0e4-86c5-4ef3-b4c4-f4f9a47853f5","html_url":"https://github.com/dfm/python-nufft","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfm%2Fpython-nufft","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfm%2Fpython-nufft/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfm%2Fpython-nufft/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfm%2Fpython-nufft/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dfm","download_url":"https://codeload.github.com/dfm/python-nufft/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248362866,"owners_count":21091217,"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":[],"created_at":"2024-10-15T01:24:35.763Z","updated_at":"2025-04-11T08:46:11.484Z","avatar_url":"https://github.com/dfm.png","language":"Fortran","funding_links":[],"categories":[],"sub_categories":[],"readme":"Python-NUFFT\n============\n\n.. image:: https://travis-ci.org/ThomasA/python-nufft.svg?branch=master\n    :target: https://travis-ci.org/ThomasA/python-nufft\n\n.. image:: https://coveralls.io/repos/github/ThomasA/python-nufft/badge.svg?branch=master\n           :target: https://coveralls.io/github/ThomasA/python-nufft?branch=master\n\n.. image:: https://readthedocs.org/projects/python-nufft/badge/?version=latest\n\t   :target: http://python-nufft.readthedocs.io/en/latest/?badge=latest\n\t   :alt: Documentation Status\n\nPython bindings to a subset of the `NUFFT algorithm\n\u003chttp://www.cims.nyu.edu/cmcl/nufft/nufft.html\u003e`_. 1D, 2D, and 3D\ncases are implemented.\n\nUsage\n-----\n\nThe documentation can be found on `ReadTheDocs\n\u003chttps://python-nufft.readthedocs.io/en/latest/\u003e`_.\n\nTo install, run ``python setup.py install``. Then, to evaluate a\ntype-3 FT in 1D, use ``nufft.nufft1d3``. Assuming that you have a time\nseries in ``t`` and ``y`` and you want to evaluate it at (angular)\nfrequencies ``f``:\n\n.. code-block:: python\n\n    import nufft\n    ft = nufft.nufft1d3(t, y, f)\n\nYou can specify your required precision using ``eps=1e-15``. The\ndefault is ``1e-15``.\n\nAuthors and License\n-------------------\n\nPython bindings by Dan Foreman-Mackey, Thomas Arildsen, and\nMarc T. Henry de Frahan but the code that actually does the work is\nfrom the Greengard lab at NYU (see `the website\n\u003chttp://www.cims.nyu.edu/cmcl/nufft/nufft.html\u003e`_). The Fortran code\nis BSD licensed and the Python bindings are MIT licensed.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdfm%2Fpython-nufft","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdfm%2Fpython-nufft","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdfm%2Fpython-nufft/lists"}