Paleoclimate
Analysis of Paleoclimate Data.
https://github.com/LinkedEarth/Pyleoclim_util
Category: Climate Change
Sub Category: Climate Data Processing and Analysis
Keywords from Contributors
data-assimilation plotly datascience measurements sanitation control training featured parallel distribution
Last synced: about 7 hours ago
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Repository metadata
Python Package for the Analysis of Paleoclimate Data. Documentation at
- Host: GitHub
- URL: https://github.com/LinkedEarth/Pyleoclim_util
- Owner: LinkedEarth
- License: gpl-3.0
- Created: 2016-05-24T21:52:36.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2025-03-26T21:39:59.000Z (about 1 month ago)
- Last Synced: 2025-04-21T10:05:51.308Z (6 days ago)
- Language: Python
- Homepage: https://pyleoclim-util.readthedocs.io
- Size: 178 MB
- Stars: 93
- Watchers: 10
- Forks: 34
- Open Issues: 34
- Releases: 29
-
Metadata Files:
- Readme: README.md
- License: license
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
README.md
Python Package for the Analysis of Paleoclimate Data
Paleoclimate data, whether from observations or model simulations, offer unique challenges to the analyst, as they usually come in the form of timeseries with missing values and age uncertainties, which trip up off-the-shelf methods.
Pyleoclim is a Python package primarily geared towards the analysis and visualization of such timeseries. The package includes several low-level methods to deal with these issues under the hood, leaving paleoscientists to interact with intuitive, high-level analysis and plotting methods that support publication-quality scientific workflows.
There are many entry points to Pyleoclim, thanks to its underlying data structures. Low-level modules work on NumPy arrays or Pandas dataframes.
We've worked hard to make Pyleoclim accessible to a wide variety of users, from establisher researchers to high-school students, and from seasoned Pythonistas to first-time programmers. A progressive introduction to the package is available at PyleoTutorials. Examples of scientific use are given this paper. A growing collection of research-grade workflows using Pyleoclim and the LinkedEarth research ecosystem are available as Jupyter notebooks on paleoBooks, with video tutorials on the LinkedEarth YouTube channel. Pyleoclim is part of the broader Python ecosystem of Computational Tools for Climate Science. Python novices are encouraged to follow these self-paced tutorials before trying Pyleoclim.
Science-based training materials are also available from the paleoHackathon repository. We also run live training workshops every so often. Follow us on Twitter, or join our Discourse Forum for more information.
Versions
See our releases page for details on what's included in each version.
Documentation
Online documentation is available through readthedocs.
Dependencies
pyleoclim only supports Python 3.11
Installation
The latest stable release is available through Pypi. We recommend using Anaconda or Miniconda with a dedicated environment. Full installation instructions are available in the package documentation
Citation
If you use our code in any way, please consider adding these citations to your publications:
- Khider, D., Emile-Geay, J., Zhu, F., James, A., Landers, J., Ratnakar, V., & Gil, Y. (2022). Pyleoclim: Paleoclimate timeseries analysis and visualization with Python. Paleoceanography and Paleoclimatology, 37, e2022PA004509. https://doi.org/10.1029/2022PA004509
- Khider, Deborah, Emile-Geay, Julien, Zhu, Feng, James, Alexander, Landers, Jordan, Kwan, Myron, & Athreya, Pratheek. (2022). Pyleoclim: A Python package for the analysis and visualization of paleoclimate data (v0.9.1). Zenodo. https://doi.org/10.5281/zenodo.7523617
Development
Pyleoclim development takes place on GitHub: https://github.com/LinkedEarth/Pyleoclim_util
Please submit any reproducible bugs you encounter to the issue tracker. For usage questions, please use Discourse.
License
The project is licensed under the GNU Public License. Please refer to the file call license.
If you use the code in publications, please credit the work using the citation file.
Disclaimer
This material is based upon work supported by the National Science Foundation under Grant Number ICER-1541029. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the investigators and do not necessarily reflect the views of the National Science Foundation.
This research is funded in part by JP Morgan Chase & Co. Any views or opinions expressed herein are solely those of the authors listed, and may differ from the views and opinions expressed by JP Morgan Chase & Co. or its affilitates. This material is not a product of the Research Department of J.P. Morgan Securities LLC. This material should not be construed as an individual recommendation of for any particular client and is not intended as a recommendation of particular securities, financial instruments or strategies for a particular client. This material does not constitute a solicitation or offer in any jurisdiction.
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Khider"
given-names: "Deborah"
orcid: "https://orcid.org/0000-0001-7501-8430"
- family-names: "Emile-Geay"
given-names: "Julien"
orcid: "https://orcid.org/0000-0001-5920-4751"
- family-names: "Zhu"
given-names: "Feng"
orcid: "https://orcid.org/0000-0002-9969-2953"
- family-names: "James"
given-names: "Alexander"
orcid: "https://orcid.org/0000-0001-8561-3188"
- family-names: "Landers"
given-names: "Jordan"
orcid: "https://orcid.org/0000-0001-9772-7617"
- family-names: "Kwan"
given-names: "Myron"
- family-names: "Athreya"
given-names: "Pratheek"
- family-names: "McGibbon"
given-names: "Robert"
orcid: "https://orcid.org/0000-0003-3337-954X"
- family-names: "Voirol"
given-names: "Lionel"
orcid: "https://orcid.org/0000-0003-1696-1407"
title: "Pyleoclim: A Python package for the analysis and visualization of paleoclimate data"
version: v1.2.0
doi: 10.5281/zenodo.1205661
date-released: 2025-01-31
url: "https://github.com/LinkedEarth/Pyleoclim_util"
Owner metadata
- Name: LinkedEarth
- Login: LinkedEarth
- Email: [email protected]
- Kind: organization
- Description:
- Website: linked.earth
- Location: Los Angeles, CA
- Twitter: Linked_Earth
- Company:
- Icon url: https://avatars.githubusercontent.com/u/17730148?v=4
- Repositories: 34
- Last ynced at: 2024-03-27T06:28:50.615Z
- Profile URL: https://github.com/LinkedEarth
GitHub Events
Total
- Create event: 17
- Release event: 1
- Issues event: 33
- Watch event: 5
- Delete event: 17
- Issue comment event: 48
- Push event: 45
- Pull request review event: 14
- Pull request event: 28
- Fork event: 1
Last Year
- Create event: 17
- Release event: 1
- Issues event: 33
- Watch event: 5
- Delete event: 17
- Issue comment event: 48
- Push event: 45
- Pull request review event: 14
- Pull request event: 28
- Fork event: 1
Committers metadata
Last synced: 5 days ago
Total Commits: 2,007
Total Committers: 24
Avg Commits per committer: 83.625
Development Distribution Score (DDS): 0.702
Commits in past year: 161
Committers in past year: 5
Avg Commits per committer in past year: 32.2
Development Distribution Score (DDS) in past year: 0.516
| Name | Commits | |
|---|---|---|
| Deborah Khider | d****r@g****m | 598 |
| CommonClimate | j****g@u****u | 477 |
| Feng Zhu | l****e@g****m | 292 |
| Alexander James | a****s@g****m | 252 |
| jlanders | j****v@g****m | 87 |
| Deborah Khider | d****r@D****l | 70 |
| LinkedEarth | l****h@g****m | 49 |
| MarcoGorelli | 33 | |
| Feng Zhu | f****e@o****m | 29 |
| myron | m****n@g****m | 26 |
| pratheek | p****i@g****m | 24 |
| Lionel Voirol | l****l@h****m | 16 |
| Deborah Khider | d****r@z****u | 15 |
| Deborah Khider | d****r@g****u | 14 |
| Kim Pevey | k****y@g****m | 9 |
| Lee Pin-Tzu | s****8@n****w | 3 |
| Neil Edward Linehan | 1****n | 3 |
| Deborah Khider | d****r@g****u | 3 |
| Ramkumar | r****4@g****m | 2 |
| Shilpa Thomas | s****m@g****m | 1 |
| Erik Sundell | e****l@g****m | 1 |
| Maximiliano Osorio | m****o@g****m | 1 |
| Qianxy | x****7@g****m | 1 |
| Ronnakrit "Ronnie" Rattanasriampaipong | r****r@g****m | 1 |
Committer domains:
- guest-wireless-upc-1604-10-120-076-092.usc.edu: 1
- nycu.edu.tw: 1
- guest-wireless-upc-1604-10-120-073-104.usc.edu: 1
- zhs275-12.usc.edu: 1
- usc.edu: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 164
Total pull requests: 212
Average time to close issues: 4 months
Average time to close pull requests: 2 days
Total issue authors: 25
Total pull request authors: 13
Average comments per issue: 2.2
Average comments per pull request: 0.55
Merged pull request: 196
Bot issues: 0
Bot pull requests: 0
Past year issues: 49
Past year pull requests: 79
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 2 days
Past year issue authors: 12
Past year pull request authors: 6
Past year average comments per issue: 1.8
Past year average comments per pull request: 0.35
Past year merged pull request: 72
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- CommonClimate (63)
- khider (45)
- alexkjames (24)
- arfriedman (4)
- thelightonmyway (3)
- MiaEl-Khazen (2)
- fzhu2e (2)
- neillinehan (2)
- evepug (2)
- rihpeach (2)
- bdamir5 (1)
- pgc2113 (1)
- MarcoGorelli (1)
- philkongo (1)
- SHEN-Cheng (1)
Top Pull Request Authors
- CommonClimate (63)
- khider (50)
- alexkjames (44)
- jordanplanders (31)
- MarcoGorelli (13)
- kcpevey (3)
- lionelvoirol (2)
- SQYQianYe (1)
- DominikStiller (1)
- qianxyz (1)
- fzhu2e (1)
- neillinehan (1)
- Aragath (1)
Top Issue Labels
- enhancement (58)
- bug (33)
- low priority (18)
- graphics (13)
- TeamHackathon (10)
- documentation (8)
- High Priority (7)
- help wanted (6)
- suggestions (5)
- wontfix (3)
- pandas (3)
- copilot (2)
- visualization (1)
- bug lite (1)
Top Pull Request Labels
- bug (7)
- TeamHackathon (2)
- enhancement (2)
- bug lite (1)
- High Priority (1)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 1,140 last-month
- Total docker downloads: 36
- Total dependent packages: 1
- Total dependent repositories: 6
- Total versions: 46
- Total maintainers: 5
pypi.org: pyleoclim
A Python package for paleoclimate data analysis
- Homepage: https://github.com/LinkedEarth/Pyleoclim_util/pyleoclim
- Documentation: https://pyleoclim.readthedocs.io/
- Licenses: GPL-3.0 License
- Latest release: 1.2.0 (published 3 months ago)
- Last Synced: 2025-04-26T12:35:54.866Z (1 day ago)
- Versions: 46
- Dependent Packages: 1
- Dependent Repositories: 6
- Downloads: 1,140 Last month
- Docker Downloads: 36
-
Rankings:
- Docker downloads count: 2.939%
- Dependent packages count: 3.24%
- Dependent repos count: 6.112%
- Average: 6.601%
- Forks count: 7.136%
- Stargazers count: 8.108%
- Downloads: 12.074%
- Maintainers (5)
Dependencies
- LiPD ==0.2.8.8
- Unidecode >=1.2.0
- cartopy >=0.19.0
- matplotlib >=3.4.3
- nitime >=0.9
- numba >=0.53.1
- numpy >=1.21.2
- pandas >=1.3.3
- pathos >=0.2.8
- pyhht >=0.1.0
- readthedocs-sphinx-search >=0.1.0
- scikit-learn >=0.24.2
- scipy >=1.7.1
- seaborn >=0.11.1
- statsmodels >=0.12.2
- tabulate >=0.8.9
- tftb >=0.1.3
- tqdm >=4.61.2
- wget >=3.2
- IPython *
- pytest *
- LiPD ==0.2.8.8
- Unidecode >=1.1.1
- matplotlib >=3.4.2
- nitime >=0.8.1
- numba >=0.50.1
- numpy >=1.21.1
- pandas >=1.3.0
- pathos >=0.2.6
- pyhht >=0.1.0
- scikit-learn >=0.24.2
- scipy >=1.7.0
- seaborn >=0.11
- statsmodels >=0.11.1
- tabulate >=0.8.7
- tftb >=0.1.1
- tqdm >=4.47.0
- wget >=3.2
- actions/checkout main composite
- jupyterhub/repo2docker-action master composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- pyhht *
Score: 15.103108813497318