llnl-thicket
Science Score: 75.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README -
○Academic publication links
-
✓Committers with academic emails
8 of 9 committers (88.9%) from academic institutions -
✓Institutional organization owner
Organization llnl has institutional domain (software.llnl.gov) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (18.4%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Basic Info
- Host: GitHub
- Owner: LLNL
- License: mit
- Language: JavaScript
- Default Branch: develop
- Homepage: https://thicket.readthedocs.io
- Size: 91.9 MB
Statistics
- Stars: 19
- Watchers: 3
- Forks: 9
- Open Issues: 34
- Releases: 9
Topics
Metadata Files
README.md
Thicket
Thicket
A Python-based toolkit for Exploratory Data Analysis (EDA) of parallel performance data that enables performance optimization and understanding of applications’ performance on supercomputers. It bridges the performance tool gap between being able to consider only a single instance of a simulation run (e.g., single platform, single measurement tool, or single scale) and finding actionable insights in multi-dimensional, multi-scale, multi-architecture, and multi-tool performance datasets. You can find detailed documentation, along with tutorials of Thicket in the ReadtheDocs.
Installation
To use thicket, install it with pip:
$ pip install llnl-thicket
Or, if you want to develop with this repo directly, run the install script from the
root directory, which will build the package and add the cloned directory to
your PYTHONPATH:
$ source install.sh
Contact Us
You can direct any feature requests or questions to the Lawrence Livermore National Lab's Thicket development team by emailing either Stephanie Brink (brink2@llnl.gov) or Olga Pearce (pearce8@llnl.gov).
Contributing
To contribute to Thicket, please open a pull request to the develop branch. Your pull request must pass Thicket's unit tests, and must be PEP 8 compliant. Please open issues for questions, feature requests, or bug reports.
Authors and citations
Many thanks to Thicket's contributors.
Thicket was created by Olga Pearce and Stephanie Brink.
To cite Thicket, please use the following citation:
- 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.
On GitHub, you can copy this citation in APA or BibTeX format via the "Cite this repository" button. Or, see CITATION.cff for the raw BibTeX.
License
Thicket is distributed under the terms of the MIT license.
All contributions must be made under the MIT license. Copyrights in the Thicket project are retained by contributors. No copyright assignment is required to contribute to Thicket.
See LICENSE and NOTICE for details.
SPDX-License-Identifier: MIT
LLNL-CODE-834749
Owner
- Name: Lawrence Livermore National Laboratory
- Login: LLNL
- Kind: organization
- Email: github-admin@llnl.gov
- Location: Livermore, CA, USA
- Website: https://software.llnl.gov
- Twitter: LLNL_OpenSource
- Repositories: 520
- Profile: https://github.com/LLNL
For over 70 years, the Lawrence Livermore National Laboratory has applied science and technology to make the world a safer place.
Citation (CITATION.cff)
cff-version: 1.2.0
title: Thicket
message: "If you use Thicket, please cite it as below."
repository-code: https://github.com/llnl/thicket
preferred-citation:
type: conference-paper
doi: 10.1145/3588195.3592989
url: https://github.com/llnl/thicket
authors:
- family-names: Brink
given-names: Stephanie
- family-names: McKinsey
given-names: Michael
- family-names: Boehme
given-names: David
- family-names: Scully-Allison
given-names: Connor
- family-names: Lumsden
given-names: Ian
- family-names: Hawkins
given-names: Daryl
- family-names: Burgess
given-names: Treece
- family-names: Lama
given-names: Vanessa
- family-names: Luettgau
given-names: Jakob
- family-names: Isaacs
given-names: Katherine E.
- family-names: Taufer
given-names: Michela
- family-names: Pearce
given-names: Olga
title: "Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees"
conference:
name: "International Symposium on High-Performance Parallel and Distributed Computing"
city: "Orlando"
region: "Florida"
country: "USA"
date-start: 2023-06-20
date-end: 2023-06-23
year: 2023
notes: LLNL-CODE-834749
publisher:
name: ACM
city: "New York"
region: "New York"
country: "USA"
GitHub Events
Total
- Create event: 10
- Release event: 5
- Issues event: 14
- Watch event: 6
- Delete event: 6
- Issue comment event: 37
- Push event: 39
- Pull request event: 66
- Pull request review event: 45
- Pull request review comment event: 24
Last Year
- Create event: 10
- Release event: 5
- Issues event: 14
- Watch event: 6
- Delete event: 6
- Issue comment event: 37
- Push event: 39
- Pull request event: 66
- Pull request review event: 45
- Pull request review comment event: 24
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 97
- Total Committers: 9
- Avg Commits per committer: 10.778
- Development Distribution Score (DDS): 0.649
Top Committers
| Name | Commits | |
|---|---|---|
| Stephanie Brink | b****2@l****v | 34 |
| Michael Mckinsey | n****y@l****v | 26 |
| Vanessa Lama | l****1@l****v | 8 |
| Connor Scully-Allison | c****n@n****u | 7 |
| Ian Lumsden | l****n@g****m | 6 |
| Connor Scully-Allison | s****1@l****v | 5 |
| Michael Richard Mckinsey | m****y@c****v | 4 |
| Michael Richard Mckinsey | m****y@c****v | 4 |
| Treece Burgess | n****"@l****v | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 43
- Total pull requests: 233
- Average time to close issues: 2 months
- Average time to close pull requests: about 1 month
- Total issue authors: 6
- Total pull request authors: 15
- Average comments per issue: 0.53
- Average comments per pull request: 0.52
- Merged pull requests: 190
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 15
- Pull requests: 56
- Average time to close issues: about 2 months
- Average time to close pull requests: about 1 month
- Issue authors: 4
- Pull request authors: 6
- Average comments per issue: 0.13
- Average comments per pull request: 0.59
- Merged pull requests: 41
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ilumsden (14)
- michaelmckinsey1 (13)
- slabasan (8)
- Yejashi (5)
- MichaelMcKinsey1 (2)
- pearzt (1)
Pull Request Authors
- michaelmckinsey1 (116)
- slabasan (59)
- ilumsden (34)
- MichaelMcKinsey1 (29)
- Yejashi (15)
- Treece-Burgess (10)
- vanessalama09 (8)
- dyokelson (7)
- AndyM1098 (6)
- pearce8 (4)
- Julius-Plehn (4)
- cscully-allison (3)
- draganaurosgrbic (2)
- guspan-tanadi (2)
- marcusritter1 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
-
Total downloads:
- pypi 3,936 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 23
- Total maintainers: 1
proxy.golang.org: github.com/LLNL/thicket
- Documentation: https://pkg.go.dev/github.com/LLNL/thicket#section-documentation
- License: mit
-
Latest release: v2025.1.0+incompatible
published 7 months ago
Rankings
proxy.golang.org: github.com/llnl/thicket
- Documentation: https://pkg.go.dev/github.com/llnl/thicket#section-documentation
- License: mit
-
Latest release: v2025.1.0+incompatible
published 7 months ago
Rankings
pypi.org: llnl-thicket
Toolkit for exploratory data analysis of ensemble performance data
- Documentation: https://thicket.readthedocs.io/
- License: MIT
-
Latest release: 2025.1.0
published 7 months ago
Rankings
Maintainers (1)
Dependencies
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- pypa/gh-action-pypi-publish v1.5.0 composite