xcast

A High-Performance Data Science Toolkit for the Earth Sciences

https://github.com/kjhall01/xcast

Science Score: 33.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (17.3%) to scientific vocabulary

Keywords

artificial-intelligence big-data climate-data climate-forecasting climate-science machine-learning multimodel-ensemble parallel-computing predictive-analytics python xarray
Last synced: 6 months ago · JSON representation

Repository

A High-Performance Data Science Toolkit for the Earth Sciences

Basic Info
  • Host: GitHub
  • Owner: kjhall01
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 420 MB
Statistics
  • Stars: 68
  • Watchers: 4
  • Forks: 6
  • Open Issues: 0
  • Releases: 20
Topics
artificial-intelligence big-data climate-data climate-forecasting climate-science machine-learning multimodel-ensemble parallel-computing predictive-analytics python xarray
Created over 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Code of conduct

README.md

Contributors Forks Stargazers Issues MIT License LinkedIn installs DOI


Logo

XCast: A Climate Forecasting Toolkit

working on xcast v2 -- keep an eye out

XCast is a free and open source climate forecasting toolkit written by Kyle Hall & Nachiketa Acharya, designed to help forecasters and earth scientists apply state-of-the-art postprocessing techniques to gridded data sets.
Explore the docs
Report Bug

Table of Contents

  1. Why XCast?
  2. Installation
  3. License
  4. Contact
  5. Acknowledgements

Installation

XCast is distributed on Anaconda , and can be installed like any other Python library with the following command:

conda install -c conda-forge -c hallkjc01 xcast

to set up an XCast environment for use with Jupyter notebook, please use the following commands:

conda create -n xcast_env -c conda-forge -c hallkjc01 xcast xarray netcdf4 jupyter ipykernel conda activate xcast_env python -m ipykernel install --name=xcast_env --user you'll then be able to select xcast_env from the list of available jupyter kernels in your jupyter notebook

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Please make an issue here.

Owner

  • Name: Kyle Hall
  • Login: kjhall01
  • Kind: user

Climate Data Scientist seeking to increase society’s resilience to climate change and climate variability by improving climate forecasting and climate modeling

GitHub Events

Total
  • Issues event: 1
  • Watch event: 2
  • Issue comment event: 2
  • Fork event: 1
Last Year
  • Issues event: 1
  • Watch event: 2
  • Issue comment event: 2
  • Fork event: 1

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 187
  • Total Committers: 4
  • Avg Commits per committer: 46.75
  • Development Distribution Score (DDS): 0.075
Past Year
  • Commits: 8
  • Committers: 3
  • Avg Commits per committer: 2.667
  • Development Distribution Score (DDS): 0.625
Top Committers
Name Email Commits
kjhall01 k****1@e****u 173
kjhall01 h****1@g****m 8
Nachiketa84 d****a@g****m 3
Thomas Martin 3****o 3
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 36
  • Total pull requests: 12
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 15 days
  • Total issue authors: 7
  • Total pull request authors: 3
  • Average comments per issue: 1.44
  • Average comments per pull request: 0.0
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: about 1 month
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 2.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • kjhall01 (26)
  • ebekele2024 (3)
  • ThomasMGeo (3)
  • dhruvbalwada (1)
  • aaronspring (1)
  • mn5hk (1)
  • fipoucat (1)
Pull Request Authors
  • kjhall01 (11)
  • Nachiketa84 (3)
  • ThomasMGeo (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 20
proxy.golang.org: github.com/kjhall01/xcast
  • Versions: 20
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 6 months ago

Dependencies

conda-recipe/setup.py pypi