Science Score: 44.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.8%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Basic Info
Statistics
  • Stars: 7
  • Watchers: 1
  • Forks: 2
  • Open Issues: 4
  • Releases: 4
Created about 4 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

dask-hpcconfig

To install, use

bash python -m pip install git+https://github.com/umr-lops/dask-hpcconfig.git#egg=dask-hpcconfig

or clone the source:

bash git clone https://github.com/umr-lops/dask-hpcconfig.git cd dask-hpcconfig

and then install from there:

bash python -m pip install .

or as "editable":

bash python -m pip install -e .

Usage

python import dask_hpcconfig

To list the available cluster definitions:

python dask_hpcconfig.print_clusters()

or, as a mapping of name to type:

python clusters = dask_hpcconfig.available_clusters()

To create a cluster, use:

python cluster = dask_hpcconfig.cluster(name)

where name is the name of one of the available clusters.

To override any particular setting: For example on 'datarmor-local' to use only 7 workers for increasing memory size of each worker:

python overrides = {"cluster.n_workers": 7} cluster = dask_hpcconfig.cluster("datarmor-local", **overrides)

For example on 'datarmor' to use only 7 workers for increasing memory size of each worker, and use 49 workers (i.e. 7 mpi_1 nodes) :

python overrides = {"cluster.cores": 7} cluster = dask_hpcconfig.cluster("datarmor", **overrides) cluster.scale(49)

cluster can then be used to create a Client:

```python from distributed import Client

client = Client(cluster) ```

Owner

  • Name: LOPS Laboratory for Ocean Physics and Satellite remote sensing
  • Login: umr-lops
  • Kind: organization
  • Location: Plouzané, France

Laboratory for Ocean Physics and Satellite remote sensing, UMR6523, CNRS-Ifremer-IRD-UBO

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: dask-hpcconfig
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Justus
    family-names: Magin
    orcid: "https://orcid.org/0000-0002-4254-8002"
    affiliation: >-
      Univ Brest, CNRS, Ifremer, IRD, Laboratoire
      d'Océanographie Physique et Spatiale (LOPS), IUEM,
      F29280, Plouzané, France
  - given-names: Tina
    family-names: Odaka
    orcid: "https://orcid.org/0000-0002-1500-0156"
    affiliation: >-
      Univ Brest, CNRS, Ifremer, IRD, Laboratoire
      d'Océanographie Physique et Spatiale (LOPS), IUEM,
      F29280, Plouzané, France
identifiers:
  - type: doi
    value: 10.5281/zenodo.7736117
    description: Zenodo DOI
repository-code: "https://github.com/umr-lops/dask-hpcconfig"
abstract: >-
  'dask-hpcconfig' provides an easy interface for creating
  dask cluster optimised for each HPC environment.
keywords:
  - Dask
  - HPC
license: Apache-2.0
version: 2023.03.0
date-released: "2023-03-14"

GitHub Events

Total
  • Release event: 1
  • Delete event: 10
  • Issue comment event: 6
  • Push event: 18
  • Pull request event: 22
  • Create event: 11
Last Year
  • Release event: 1
  • Delete event: 10
  • Issue comment event: 6
  • Push event: 18
  • Pull request event: 22
  • Create event: 11

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 36
  • Total Committers: 5
  • Avg Commits per committer: 7.2
  • Development Distribution Score (DDS): 0.611
Top Committers
Name Email Commits
pre-commit-ci[bot] 6****]@u****m 14
Justus Magin k****s@u****m 14
Tina Odaka 4****k@u****m 6
dependabot[bot] 4****]@u****m 1
Keewis k****s@p****e 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 6
  • Total pull requests: 76
  • Average time to close issues: about 3 hours
  • Average time to close pull requests: 22 days
  • Total issue authors: 4
  • Total pull request authors: 4
  • Average comments per issue: 0.5
  • Average comments per pull request: 0.11
  • Merged pull requests: 61
  • Bot issues: 0
  • Bot pull requests: 45
Past Year
  • Issues: 1
  • Pull requests: 19
  • Average time to close issues: N/A
  • Average time to close pull requests: 20 days
  • Issue authors: 1
  • Pull request authors: 3
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.11
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 14
Top Authors
Issue Authors
  • tinaok (3)
  • gmaze (1)
  • keewis (1)
  • oarcher (1)
Pull Request Authors
  • pre-commit-ci[bot] (28)
  • dependabot[bot] (19)
  • keewis (19)
  • tinaok (12)
Top Labels
Issue Labels
Pull Request Labels
dependencies (19)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 44 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 3
  • Total maintainers: 2
pypi.org: dask-hpcconfig

Configuration for various dask clusters

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 44 Last month
Rankings
Dependent packages count: 10.0%
Stargazers count: 18.5%
Forks count: 19.1%
Dependent repos count: 21.7%
Average: 25.0%
Downloads: 55.6%
Maintainers (2)
Last synced: 7 months ago

Dependencies

docs/requirements.txt pypi
  • click <8.1
  • dask *
  • dask-jobqueue *
  • distributed *
  • ipython *
  • pyyaml *
  • rich *
  • sphinx *
  • sphinx-book-theme *
  • sphinx-click *
  • sphinx-copybutton *
  • sphinx-panels *
  • typer *
.github/workflows/public.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v4 composite
  • pypa/gh-action-pypi-publish 2f6f737ca5f74c637829c0f5c3acd0e29ea5e8bf composite
pyproject.toml pypi
setup.py pypi