{"id":19705743,"url":"https://github.com/llnl/thicket","last_synced_at":"2026-01-07T00:30:42.317Z","repository":{"id":65500227,"uuid":"535421600","full_name":"LLNL/thicket","owner":"LLNL","description":null,"archived":false,"fork":false,"pushed_at":"2024-11-08T00:04:12.000Z","size":90778,"stargazers_count":14,"open_issues_count":28,"forks_count":9,"subscribers_count":4,"default_branch":"develop","last_synced_at":"2024-11-08T01:22:53.478Z","etag":null,"topics":["exploratory-data-analysis","heterogeneous-computing","hpc","performance","performance-analysis","python"],"latest_commit_sha":null,"homepage":"https://thicket.readthedocs.io","language":"JavaScript","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/LLNL.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-09-11T20:46:19.000Z","updated_at":"2024-11-08T00:04:16.000Z","dependencies_parsed_at":"2023-10-30T19:30:35.441Z","dependency_job_id":"60f4fec2-efc5-4761-b0c9-5b121821775b","html_url":"https://github.com/LLNL/thicket","commit_stats":{"total_commits":97,"total_committers":9,"mean_commits":"10.777777777777779","dds":0.6494845360824743,"last_synced_commit":"29cb7145ec84f878dde6a765f87b9df818058960"},"previous_names":[],"tags_count":10,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2Fthicket","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2Fthicket/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2Fthicket/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2Fthicket/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LLNL","download_url":"https://codeload.github.com/LLNL/thicket/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224178608,"owners_count":17268918,"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":["exploratory-data-analysis","heterogeneous-computing","hpc","performance","performance-analysis","python"],"created_at":"2024-11-11T21:29:56.781Z","updated_at":"2026-01-04T07:22:18.463Z","avatar_url":"https://github.com/LLNL.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# \u003cimg src=\"https://raw.githubusercontent.com/llnl/thicket/develop/logo-notext.png\" width=\"64\" valign=\"middle\" alt=\"thicket\"/\u003e Thicket\n\n[![Build Status](https://github.com/llnl/thicket/actions/workflows/unit-tests.yaml/badge.svg)](https://github.com/llnl/thicket/actions)\n[![codecov.io](https://codecov.io/github/LLNL/thicket/coverage.svg?branch=develop)](https://codecov.io/github/LLNL/thicket?branch=develop)\n[![Read the Docs](http://readthedocs.org/projects/thicket/badge/?version=latest)](http://thicket.readthedocs.io)\n[![Code Style: Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n\n# Thicket\n\nA Python-based toolkit for Exploratory Data Analysis (EDA) of parallel performance data\nthat enables performance optimization and understanding of applications’ performance on\nsupercomputers. It bridges the performance tool gap between being able to consider only\na single instance of a simulation run (e.g., single platform, single measurement tool,\nor single scale) and finding actionable insights in multi-dimensional, multi-scale,\nmulti-architecture, and multi-tool performance datasets. You can find detailed\ndocumentation, along with tutorials of Thicket in the\n[ReadtheDocs](https://thicket.readthedocs.io/en/latest/).\n\n### Installation\n\nTo use thicket, install it with pip:\n\n```\n$ pip install llnl-thicket\n```\n\nOr, if you want to develop with this repo directly, run the install script from the\nroot directory, which will build the package and add the cloned directory to\nyour `PYTHONPATH`:\n\n```\n$ source install.sh\n```\n\n### Contact Us\n\nYou can direct any feature requests or questions to the Lawrence Livermore National\nLab's Thicket development team by emailing either Stephanie Brink (brink2@llnl.gov)\nor Olga Pearce (pearce8@llnl.gov).\n\n### Contributing\n\nTo contribute to Thicket, please open a [pull request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests) to the `develop` branch. Your pull request must pass Thicket's unit tests, and must be [PEP 8](https://peps.python.org/pep-0008/) compliant. Please open issues for questions, feature requests, or bug reports.\n\nAuthors and citations\n---------------------\nMany thanks to Thicket's [contributors](https://github.com/llnl/thicket/graphs/contributors).\n\nThicket was created by Olga Pearce and Stephanie Brink.\n\nTo cite Thicket, please use the following citation:\n\n* Stephanie Brink, Michael McKinsey, David Boehme, Connor Scully-Allison, Ian Lumsden, Daryl Hawkins, Treece Burgess, Vanessa Lama, Jakob Lüttgau, Katherine E. Isaacs, Michela Taufer, and Olga Pearce. 2023. Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. In the 32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC'23), August 2023, Pages 281–293. [doi.org/10.1145/3588195.3592989](https://doi.org/10.1145/3588195.3592989).\n\nOn GitHub, you can copy this citation in APA or BibTeX format via the \"Cite this\nrepository\" button. Or, see [CITATION.cff](https://github.com/llnl/thicket/blob/develop/CITATION.cff) for the raw BibTeX.\n\n### License\n\nThicket is distributed under the terms of the MIT license.\n\nAll contributions must be made under the MIT license. Copyrights in the\nThicket project are retained by contributors. No copyright assignment is\nrequired to contribute to Thicket.\n\nSee [LICENSE](https://github.com/llnl/thicket/blob/develop/LICENSE) and\n[NOTICE](https://github.com/llnl/thicket/blob/develop/NOTICE) for details.\n\nSPDX-License-Identifier: MIT\n\nLLNL-CODE-834749\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllnl%2Fthicket","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fllnl%2Fthicket","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllnl%2Fthicket/lists"}