https://github.com/csiro-hydroinformatics/efts-io

Ensemble forecast time series I/O

https://github.com/csiro-hydroinformatics/efts-io

Science Score: 26.0%

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
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Ensemble forecast time series I/O

Basic Info
  • Host: GitHub
  • Owner: csiro-hydroinformatics
  • License: bsd-3-clause-clear
  • Language: Python
  • Default Branch: main
  • Size: 1.87 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 13
  • Releases: 3
Created almost 2 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog Contributing Funding License Code of conduct

README.md

efts-io

ci documentation pypi version <!-- gitpod gitter -->

Overview

Plain text files are not well suited to storing the large volumes of data generated for and by ensemble streamflow forecasts with numerical weather prediction models. netCDF is a binary file format developed primarily for climate, ocean and meteorological data. netCDF has traditionally been used to store time slices of gridded data, rather than complete time series of point data. efts-io is for handling the latter. It reads and writes netCDF data following the NetCDF for Water Forecasting Conventions v2.0.

Installation

With pip:

bash pip install efts-io

Development workflow

See contributing.md if you want to contribute. This project follows practices from a template and the page copier-uv: Working on a project. Many thanks to Timothée Mazzucotelli for sharing this template.

Owner

  • Name: CSIRO Hydroinformatics
  • Login: csiro-hydroinformatics
  • Kind: organization

CSIRO - hydroinformatics repositories

GitHub Events

Total
  • Create event: 2
  • Release event: 1
  • Issues event: 7
  • Issue comment event: 1
  • Push event: 20
Last Year
  • Create event: 2
  • Release event: 1
  • Issues event: 7
  • Issue comment event: 1
  • Push event: 20

Issues and Pull Requests

Last synced: 10 months ago

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 79 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 4
  • Total maintainers: 1
pypi.org: efts-io

Ensemble forecast time series

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 79 Last month
Rankings
Dependent packages count: 7.3%
Dependent repos count: 22.1%
Average: 27.2%
Forks count: 30.0%
Downloads: 37.6%
Stargazers count: 38.9%
Maintainers (1)
Last synced: 10 months ago

Dependencies

.github/workflows/ci.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
.github/workflows/release.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v4 composite
  • softprops/action-gh-release v1 composite
docs/environment.yml pypi
docs/requirements.txt pypi
  • cftime *
  • mkdocs *
  • mkdocs-material *
  • mkdocs-material-extensions *
  • mkdocstrings *
  • mock *
  • pandas *
  • pillow *
  • recommonmark *
  • six *
  • xarray *
pyproject.toml pypi
  • cftime *
  • netcdf4 >=1.7.1.post2
  • numpy *
  • pandas *
  • xarray *
requirements.txt pypi
  • cftime *
  • numpy *
  • pandas *
  • xarray *