{"id":17788908,"url":"https://github.com/msyriac/pyfisher","last_synced_at":"2025-10-29T06:16:06.718Z","repository":{"id":40957160,"uuid":"50208417","full_name":"msyriac/pyfisher","owner":"msyriac","description":"Fisher forecasting for cosmological surveys","archived":false,"fork":false,"pushed_at":"2024-10-21T18:41:48.000Z","size":17917,"stargazers_count":18,"open_issues_count":9,"forks_count":9,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-03-16T01:32:41.844Z","etag":null,"topics":["cmb","cosmology","fisher","forecasting","python"],"latest_commit_sha":null,"homepage":"","language":"Python","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/msyriac.png","metadata":{"files":{"readme":"README.rst","changelog":"HISTORY.rst","contributing":"CONTRIBUTING.rst","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.rst","dei":null,"publiccode":null,"codemeta":null}},"created_at":"2016-01-22T21:26:09.000Z","updated_at":"2025-03-15T13:10:36.000Z","dependencies_parsed_at":"2024-06-09T00:07:10.644Z","dependency_job_id":null,"html_url":"https://github.com/msyriac/pyfisher","commit_stats":{"total_commits":176,"total_committers":7,"mean_commits":"25.142857142857142","dds":0.2670454545454546,"last_synced_commit":"6d6a0b3ec99ba9b8238fd6b16453d59835b1bfdf"},"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msyriac%2Fpyfisher","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msyriac%2Fpyfisher/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msyriac%2Fpyfisher/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msyriac%2Fpyfisher/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/msyriac","download_url":"https://codeload.github.com/msyriac/pyfisher/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243858890,"owners_count":20359257,"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":["cmb","cosmology","fisher","forecasting","python"],"created_at":"2024-10-27T10:26:03.122Z","updated_at":"2025-10-29T06:16:01.682Z","avatar_url":"https://github.com/msyriac.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"========\npyfisher\n========\n\n\n.. image:: https://img.shields.io/pypi/v/pyfisher.svg\n        :target: https://pypi.python.org/pypi/pyfisher\n\n.. image:: https://img.shields.io/travis/msyriac/pyfisher.svg\n        :target: https://travis-ci.org/msyriac/pyfisher\n\n.. image:: https://readthedocs.org/projects/pyfisher/badge/?version=latest\n        :target: https://pyfisher.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\nFisher forecasting for cosmological surveys\n\npyfisher is a python package for calculating Fisher matrices and for forecasting parameter uncertainties for cosmological surveys.\n\n🟥  **Version 2 is a total revamp, so if you're used to what this software looked like before November 2020, you should switch to the ``legacy`` branch.** \n\nWhile the new version does not (yet) provide an interface for CMB lensing noise curves with iterative\ndelensing like the old one did, it has a simplified API, lots of pre-calculated\nFishers, and a tool to reparametrize into a σ8  parameterization.\n\n\n* Free software: BSD license\n* Documentation: https://pyfisher.readthedocs.io.\n\n\nInstallation\n------------\n\nInstall in two steps:\n\n1. Git clone the repository\n2. ``cd`` into the repository and run ``pip install -e . --user``.\n\nThe latter step just copies symbolic links to the relevant modules into a directory (managed by pip) that is in your python path.\n\nOnce this is done, you should be able to do things like\n\n.. code-block:: python\n\n\t\t\t\timport pyfisher\n\n\nfrom anywhere on your system.\n\n\nBasic Usage\n-----------\n\nSee and run ``python tests/test_lensing.py`` to reproduce Planck constraints and get a feel for how to use this package.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsyriac%2Fpyfisher","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmsyriac%2Fpyfisher","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsyriac%2Fpyfisher/lists"}