Skip to main content

A Data Science Infrastructure Metadatabase

Project description

DSI User Guide

The goal of the Data Science Infrastructure Project (DSI) is to provide a flexible, AI-ready metadata query capability which returns data subject to strict, POSIX-enforced file security. The data lifecycle for AI/ML requires seamless transitions from data-intensive/AI/ML research activity to long-term archiving and shared data repositories. DSI enables flexible, data-intensive scientific workflows that meet researcher needs.

DSI is implemented in three parts:

  • Readers and Writers

  • Backends

  • Core middleware

For more information on these DSI modules, please refer to the DSI Introduction Page.

Users can interact with DSI seamlessly through two methods:

DSI Base Requirements

  • python3 (3.11 tested)

  • Cross-platform (Unix / macOS / Windows)

  • Git

  • Plugins and Backends introduce further requirements

Installation

DSI has several versioned releases and cloning from ‘main’ is the alpha-version.

Users that want to install DSI should follow our installation steps.

Release Versions

Supported release versions of DSI are tagged and found in (https://github.com/lanl/dsi/releases). Releases with minimal requirements are published on pip via (https://pypi.org/project/dsi-workflow/). To install the latest version, try the following:

python3 -m pip install dsi-workflow

Contributor Resources

DSI Contributors can view our more developer-focused documentation in the Contributor Resources.

These pages further explain DSI Readers/Writers/Backends, as well as how to write your own Reader/Writer compatible with DSI. Project contributors are encouraged to prototype solutions which do not contain sensitive data at this time.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dsi_workflow-1.1.3.tar.gz (110.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dsi_workflow-1.1.3-py3-none-any.whl (128.7 kB view details)

Uploaded Python 3

File details

Details for the file dsi_workflow-1.1.3.tar.gz.

File metadata

  • Download URL: dsi_workflow-1.1.3.tar.gz
  • Upload date:
  • Size: 110.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.11

File hashes

Hashes for dsi_workflow-1.1.3.tar.gz
Algorithm Hash digest
SHA256 3eb7060f34ae928e6725132e68289515e9261b90fed1bc39387a9bafc54b455c
MD5 7229c4656d3fa6235eb50dc0db9e705f
BLAKE2b-256 09a9aa5b2654783de2f47f0aa384370ed7526e5f7c39b75bad7f76aafa198b2b

See more details on using hashes here.

File details

Details for the file dsi_workflow-1.1.3-py3-none-any.whl.

File metadata

  • Download URL: dsi_workflow-1.1.3-py3-none-any.whl
  • Upload date:
  • Size: 128.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.11

File hashes

Hashes for dsi_workflow-1.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 79b193d25b52a04689a0370e580e5dea6ebfb8711ab7f265b704657560cf97e2
MD5 696e8d33f1f4fdb61b1959c71d9fd77a
BLAKE2b-256 d0072b6bfb89b92c46e839832086b2d2f5853e81b27a642aa11c2d38708a8f8f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page