Skip to main content

A Data Science Infrastructure Project

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-1.2.3.tar.gz (177.0 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-1.2.3-py3-none-any.whl (193.1 kB view details)

Uploaded Python 3

File details

Details for the file dsi_workflow-1.2.3.tar.gz.

File metadata

  • Download URL: dsi_workflow-1.2.3.tar.gz
  • Upload date:
  • Size: 177.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for dsi_workflow-1.2.3.tar.gz
Algorithm Hash digest
SHA256 199030554e95c5b1216a2f5c01b348f9eef4f96fd9ea8c2fc4f933262722d5c2
MD5 2b7b1b15e9ad76f16b0f0e8267506d9e
BLAKE2b-256 03cc520009a4f14f122be3bc6993aaaf7ef48686fb2e5354c1f06ef1228b225b

See more details on using hashes here.

File details

Details for the file dsi_workflow-1.2.3-py3-none-any.whl.

File metadata

  • Download URL: dsi_workflow-1.2.3-py3-none-any.whl
  • Upload date:
  • Size: 193.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for dsi_workflow-1.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 c23873dd162461ce290ece4b10792f222fc28c1ea8cd86d1fca59266c0157bb0
MD5 fdf6421b3472f33fa88643e146117324
BLAKE2b-256 0cba3bba03a84245285bac6d1e0dbdcf7d0a1cb8d22b10497135692af6c5bf0d

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