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 (5.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: Mosstone
  • License: mpl-2.0
  • Language: Nim
  • Default Branch: main
  • Size: 0 Bytes
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation Codemeta

README.md

Aether is a method of storing data and retrieving it as tensors using performant methods allowing interoperable data structures directly usable for machine learning, SQL, search engines, user storage and retrieval and shared memory maps.

Implications include massively parallel data transfers, merging of scientific data between asynchronous sets, tight integration between machine learning data and classical computing, creation of immutable data structures, associative indexing of distantly related parameters for use in classical computing, with reduced reliance on ai models for data analysis in ai enhanced systems

Aether is intended to become a core component in model training data creating tensors from large data sets subject to sql rules and viewable through layman accessible mechanisms

Owner

  • Name: Mosstone
  • Login: Mosstone
  • Kind: user

CodeMeta (codemeta.json)

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "author": [
    {
      "@id": "https://orcid.org/0009-0002-5084-0465",
      "@type": "Person",
      "familyName": "Buerer",
      "givenName": "Daniel"
    }
  ],
  "datePublished": "2025-06-08",
  "description": "Aether is a method of storing data and retrieving it as tensors using performant methods allowing interoperable data structures directly usable for machine learning, SQL, search engines, user storage and retrieval and shared memory maps.\nImplications include massively parallel data transfers, merging of scientific data between asynchronous sets, tight integration between machine learning data and classical computing, creation of immutable data structures, associative indexing of distantly related parameters for use in classical computing, with reduced reliance on ai models for data analysis in ai enhanced systems\nAether is intended to become a core component in model training data creating tensors from large data sets subject to sql rules and viewable through layman accessible mechanisms",
  "identifier": "https://doi.org/10.1234/to-be-issued",
  "license": "https://spdx.org/licenses/MPL-2.0",
  "name": "Aether",
  "url": "https://github.com/Mosstone/Aether",
  "version": "1.0.0"
}

GitHub Events

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  • Push event: 10
  • Create event: 3
Last Year
  • Push event: 10
  • Create event: 3

Dependencies

go.mod go
.engine/.elixir/lib/python3.13/site-packages/pkg_resources/tests/data/my-test-package-source/setup.py pypi
.engine/.elixir/lib/python3.13/site-packages/setuptools-80.9.0-py3.9.egg-info/requires.txt pypi
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.engine/.python/lib/python3.11/site-packages/pkg_resources/tests/data/my-test-package-source/setup.py pypi
.engine/.python/lib/python3.11/site-packages/setuptools-80.9.0-py3.9.egg-info/requires.txt pypi
  • build >=1.0.3
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  • packaging >=24.2
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  • platformdirs >=4.2.2
  • pygments-github-lexers ==0.0.5
  • pyproject-hooks *
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  • pytest-cov *
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  • pytest-mypy *
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