https://github.com/bsc-wdc/dds

Distributed Data Set for PyCOMPSs

https://github.com/bsc-wdc/dds

Science Score: 13.0%

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
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.0%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Distributed Data Set for PyCOMPSs

Basic Info
  • Host: GitHub
  • Owner: bsc-wdc
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 791 KB
Statistics
  • Stars: 0
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog Contributing License

README.md

DDS - PyCOMPSs Distributed Data Set

PyCOMPSs Distributed Data Set (DDS)

Documentation Status Build Status PyPI version Python version

WebsiteDocumentationReleasesSlack

Table of content:

Description

DDS is a lightweight library for PyCOMPSs developers which contains some basic and widely used data processing methods such as map, filter, reduce, etc. The main purpose of this library is to avoid implementations of simple 'task' functions by developers. DDS is trustful and it processes the data in the most adequate way in terms of parallelism.

Requirements

  • Python >= 3.6
  • pycompss >= 3.3

Installation

This package can be installed:

  • From source: ./install.sh
  • From Pypi: python3 -m pip install dds

The Most Useful Methods

text map filter reduce count max min sum foreach map_values combine_by_key reduce_by_key collect collect_as_dict

Please feel free to suggest more methods!

Examples

Please see examples or notebooks folders.

Availability

Currently, the following supercomputers have already PyCOMPSs and DDS installed and ready to use. If you need help configuring your own cluster or supercomputer, drop us an email and we will be pleased to help.

  • Marenostrum 5 - Barcelona Supercomputing Center (BSC)

Acknowledgements

This work has received funding from the European Commission's through the Horizon Europe CyclOps project (Contract 101135513)

License

Apache License Version 2.0, see LICENSE

Owner

  • Name: Workflows and Distributed Computing
  • Login: bsc-wdc
  • Kind: organization
  • Email: distributed_computing@bsc.es
  • Location: Barcelona

GitHub Events

Total
  • Public event: 1
  • Push event: 1
Last Year
  • Public event: 1
  • Push event: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Dependencies

Dockerfile docker
  • compss/compss-tutorial 3.3 build
docs/requirements.txt pypi
  • Sphinx >=8.0.2,<9.0.0
  • ipython >=8.27.0
  • ipywidgets >=8.1.5
  • nbsphinx >=0.9.5
  • nbsphinx-link >=1.3.0
  • sphinx-copybutton ==0.5.2
  • sphinx-prompt ==1.9.0
  • sphinx-rtd-theme >=3.0.0rc1
  • sphinx-tabs ==3.4.5
  • sphinx-toolbox ==3.8.0
  • sphinx_design ==0.6.1
  • sphinx_mdinclude >=0.6.2
  • sphinxcontrib-svg2pdfconverter ==1.2.3
  • sphinxcontrib.contentui ==0.2.5
pyproject.toml pypi
requirements.txt pypi