{"id":16247795,"url":"https://github.com/mbdevpl/hpctoolkit_dataframe","last_synced_at":"2026-01-31T10:32:59.280Z","repository":{"id":143019859,"uuid":"151360469","full_name":"mbdevpl/hpctoolkit_dataframe","owner":"mbdevpl","description":"Operate on HPCtoolkit XML database files as pandas DataFrames.","archived":false,"fork":false,"pushed_at":"2025-10-01T18:05:18.000Z","size":1619,"stargazers_count":2,"open_issues_count":4,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-12-01T03:02:47.637Z","etag":null,"topics":["high-performance-computing","hpc","performance","profiling"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mbdevpl.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":"2018-10-03T04:26:05.000Z","updated_at":"2024-03-02T04:32:49.000Z","dependencies_parsed_at":null,"dependency_job_id":"572ca7b1-34fa-415b-a3df-d8d29956e9af","html_url":"https://github.com/mbdevpl/hpctoolkit_dataframe","commit_stats":null,"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"purl":"pkg:github/mbdevpl/hpctoolkit_dataframe","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbdevpl%2Fhpctoolkit_dataframe","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbdevpl%2Fhpctoolkit_dataframe/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbdevpl%2Fhpctoolkit_dataframe/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbdevpl%2Fhpctoolkit_dataframe/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mbdevpl","download_url":"https://codeload.github.com/mbdevpl/hpctoolkit_dataframe/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbdevpl%2Fhpctoolkit_dataframe/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28938590,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-31T10:18:23.202Z","status":"ssl_error","status_checked_at":"2026-01-31T10:18:22.693Z","response_time":128,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["high-performance-computing","hpc","performance","profiling"],"created_at":"2024-10-10T14:38:41.985Z","updated_at":"2026-01-31T10:32:59.228Z","avatar_url":"https://github.com/mbdevpl.png","language":"Jupyter Notebook","readme":".. role:: bash(code)\n    :language: bash\n\n.. role:: python(code)\n    :language: python\n\n====================\nHPCtoolkit DataFrame\n====================\n\nOperate on HPCtoolkit XML database files as pandas DataFrames.\n\n.. image:: https://img.shields.io/pypi/v/hpctoolkit_dataframe.svg\n    :target: https://pypi.org/project/hpctoolkit-dataframe\n    :alt: package version from PyPI\n\n.. image:: https://github.com/mbdevpl/hpctoolkit_dataframe/actions/workflows/python.yml/badge.svg?branch=main\n    :target: https://github.com/mbdevpl/hpctoolkit_dataframe/actions\n    :alt: build status from GitHub\n\n.. image:: https://codecov.io/gh/mbdevpl/hpctoolkit_dataframe/branch/main/graph/badge.svg\n    :target: https://codecov.io/gh/mbdevpl/hpctoolkit_dataframe\n    :alt: test coverage from Codecov\n\n.. image:: https://api.codacy.com/project/badge/Grade/fff0555067d34db08d22df30305dee1b\n    :target: https://app.codacy.com/gh/mbdevpl/hpctoolkit_dataframe\n    :alt: grade from Codacy\n\n.. image:: https://img.shields.io/github/license/mbdevpl/hpctoolkit_dataframe.svg\n    :target: NOTICE\n    :alt: license\n\nDatabase files generated by HPCtoolkit can be read by the GUI-based tools provided by developers of\nHPCtoolkit. However, programmatic access and analysis of such files is troublesome.\n\nThis library provides an HPCtoolkitDataFrame object, which is essentially a pandas DataFrame\nand can be queried and sliced as easily as any DataFrame. But it extends this functionality with\nmethods for analysis and visualisation of performance data.\n\n.. contents::\n    :backlinks: none\n\nUsage\n=====\n\nPlease see `\u003cexamples.ipynb\u003e`_ for details.\n\nInstallation\n============\n\nFor simplest installation use :bash:`pip`:\n\n.. code:: bash\n\n    pip3 install hpctoolkit_dataframe\n\nRequirements\n------------\n\nPython version 3.8 or later.\n\nPython libraries as specified in `\u003crequirements.txt\u003e`_.\n\nBuilding and running tests additionally requires packages listed in `\u003crequirements_test.txt\u003e`_.\n\nTested on Linux, macOS and Windows.\n\nLinks\n=====\n\n-   HPCtoolkit: http://hpctoolkit.org/\n\n-   `pandas.DataFrame`: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmbdevpl%2Fhpctoolkit_dataframe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmbdevpl%2Fhpctoolkit_dataframe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmbdevpl%2Fhpctoolkit_dataframe/lists"}