{"id":15360385,"url":"https://github.com/oriolabril/pymesa","last_synced_at":"2026-01-06T23:07:21.397Z","repository":{"id":54430754,"uuid":"83331196","full_name":"OriolAbril/pyMESA","owner":"OriolAbril","description":"Python scripts to analyze data from Modules for Experiments in Stellar Astrophysics using existing libraries to import data","archived":false,"fork":false,"pushed_at":"2021-02-18T15:36:05.000Z","size":162,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-01T22:29:23.453Z","etag":null,"topics":["analyze-data","astrophysics","mesa","python","stellar-astrophysics"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/OriolAbril.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":"2017-02-27T16:22:53.000Z","updated_at":"2021-02-18T15:36:08.000Z","dependencies_parsed_at":"2022-08-13T15:30:42.475Z","dependency_job_id":null,"html_url":"https://github.com/OriolAbril/pyMESA","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/OriolAbril%2FpyMESA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OriolAbril%2FpyMESA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OriolAbril%2FpyMESA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OriolAbril%2FpyMESA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/OriolAbril","download_url":"https://codeload.github.com/OriolAbril/pyMESA/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245916321,"owners_count":20693389,"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":["analyze-data","astrophysics","mesa","python","stellar-astrophysics"],"created_at":"2024-10-01T12:49:39.499Z","updated_at":"2026-01-06T23:07:16.355Z","avatar_url":"https://github.com/OriolAbril.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MESA utilities\nPython scripts to analyze data from Modules for Experiments in Stellar Astrophysics using existing libraries to import data. In particular, the main difference with existing MESA-specific libraries, `pandas` module is used, allowing fast file reading.\n\nThese codes are developed as a tool for my end of degree thesis. There are 2 kinds of files: scripts which make use of argparse in order to be executed directly from the command line and files containing collections of functions, which are inside the . \n\nIn order to be able to import the functions, the path of the repository has to be added with the `sys` module. Below there is an example of how to import the functions without the need of any `setup.py`:\n\n    import sys\n    sys.path.append('/path/to/pyMESA/')\n    import pymesa.tools as pym\n\nThere is also the option of using `PYTHONPATH` instead, see this [link](http://www.mantidproject.org/Using_Modules) for more info.\n\nMany of the codes use already existing libraries to import and plot data \nfrom MESA results:\n- [mesaPlot](https://github.com/rjfarmer/mesaplot)\n- [NuGridPy](https://github.com/NuGrid/NuGridPy)\n\nTherefore, they may require to have at least one of them installed. If both mesaPlot and nugridpy are correctly installed, all the codes should work properly.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foriolabril%2Fpymesa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foriolabril%2Fpymesa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foriolabril%2Fpymesa/lists"}