node-red-contrib-oscar-cowsay

Low-code composition of AI inference pipelines

https://github.com/ai4os/ai4-compose

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
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.6%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Low-code composition of AI inference pipelines

Basic Info
  • Host: GitHub
  • Owner: ai4os
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 20.4 MB
Statistics
  • Stars: 4
  • Watchers: 5
  • Forks: 3
  • Open Issues: 0
  • Releases: 1
Created almost 3 years ago · Last pushed 8 months ago
Metadata Files
Readme Contributing License Code of conduct Citation Codemeta

README.md

ai4compose architecture

AI4Compose

AI4Compose is a suite of software utilities designed to facilitate the integration and orchestration of multiple artificial intelligence (AI) models and machine learning techniques. Its primary function is to amalgamate various AI components into organised workflows or pipelines. AI4Compose integrates with well-known visual programming tools such as Elyra and Node-RED (along with FlowFuse, enabling the creation of workflows from the inference of pre-trained models. Users can work with nodes and connections between them. Despite their different functionalities and capabilities, both platforms share a common purpose in utilising graphical composition tools applicable to AI models. As a tool for executing inference tasks, AI4Compose has been integrated with OSCAR.

ai4compose architecture

Elyra Integration

In Elyra, AI4Compose presents a series of notebooks utilising OSCAR's functionalities, integrating OSCAR's Python client to invoke and interact with OSCAR services. This integration facilitates users in seamlessly blending AI models and machine learning techniques into their data science workflows, leveraging Elyra's notebook-based environment for a more efficient and productive development experience.

Node-RED Integration

For Node-RED, AI4Compose introduces new modules based on subflows. These subflows efficiently employ standard Node-RED nodes to make requests to OSCAR services. Users can effortlessly interact with these modules in a graphical environment through a "drag and drop" interface, enabling them to compose complex workflows with ease. You can also visit the list of published nodes and subflows in the Node-RED Library.

In both platforms, AI4Compose stands as a testament to the innovative fusion of AI orchestration and visual programming, offering users an accessible and powerful toolset for developing sophisticated AI-powered applications.

More info and tutorials

You can obtain more info of AI4Compose in the official documentation of the AI4EOSC Project. Also, you can find demo tutorials in the AI4EOSC Youtube channel.

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Acknowledgements

Funded by the European Union

This project has received funding from the European Union’s Horizon Research and Innovation programme under Grant agreement No. 101058593

Owner

  • Name: AI4OS
  • Login: ai4os
  • Kind: organization
  • Email: ai4eosc-po@listas.csic.es

AI4OS is the software powering the AI4EOSC platform

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: AI4EOSC - AI4Compose
message: 'If you use this software, please cite it as follows'
type: software
authors:
  - family-names: Aguirre Ramírez
    given-names: Diego Alejandro
    email: dieagra@i3m.upv.es
  - family-names: Rodríguez Benitez
    given-names: Vicente
    email: vrodben1@i3m.upv.es
  - family-names: Calatrava Arroyo
    given-names: Amanda
    email: amcaar@i3m.upv.es
repository-code: 'https://github.com/ai4os/ai4-compose'
keywords:
  - Elyra
  - Node-RED
  - FlowFuse
  - Composite Tools
  - AI4EOSC
license: Apache-2.0
version: 1.0.0
date-released: '2024-02-22'

CodeMeta (codemeta.json)

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "license": "https://spdx.org/licenses/Apache-2.0",
  "codeRepository": "https://github.com/ai4os/ai4-compose",
  "dateCreated": "2023-07-26",
  "datePublished": "2024-02-08",
  "dateModified": "2024-02-08",
  "downloadUrl": "https://github.com/ai4os/ai4-compose/archive/refs/heads/main.zip",
  "name": "AI4EOSC - AI4Compose",
  "version": "1.0.0",
  "description": "Low-code composition of AI inference pipelines. For more information on flows and EGI notebooks, visit: https://forge.flows.dev.ai4eosc.eu/ and https://notebooks.egi.eu/hub/welcome",
  "applicationCategory": "SoftwareSourceCode",
  "releaseNotes": "First Release",
  "funder": {
    "@type": "Organization",
    "name": "Universitat Politecnica de Valencia"
  },
  "keywords": [
    "Inference",
    "workflows",
    "pipelines",
    "Flows",
    "EGI Notebooks",
    "Elyra",
    "Node-RED",
    "FlowFuse"
  ],
  "programmingLanguage": [
    "Python 3",
    "Node.js"
  ],
  "author": [
    {
      "@type": "Person",
      "givenName": "Diego Alejandro",
      "familyName": "Aguirre Ramrez",
      "email": "dieagra@i3m.upv.es",
      "affiliation": {
        "@type": "Organization",
        "name": "GryCAP (I3M) - UPV"
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  "contributor": [
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      "@type": "Person",
      "givenName": "Amanda",
      "familyName": "Calatrava Arroyo",
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        "name": "GryCAP (I3M) - UPV"
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  ]
}

GitHub Events

Total
  • Issue comment event: 13
  • Push event: 22
  • Pull request review event: 8
  • Pull request event: 12
  • Create event: 1
Last Year
  • Issue comment event: 13
  • Push event: 22
  • Pull request review event: 8
  • Pull request event: 12
  • Create event: 1

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 72
  • Total Committers: 2
  • Avg Commits per committer: 36.0
  • Development Distribution Score (DDS): 0.319
Past Year
  • Commits: 31
  • Committers: 2
  • Avg Commits per committer: 15.5
  • Development Distribution Score (DDS): 0.387
Top Committers
Name Email Commits
Diego Alejandro Aguirre Ramírez a****l@g****m 49
Amanda Calatrava a****6@g****m 23

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 1
  • Total pull requests: 43
  • Average time to close issues: 10 days
  • Average time to close pull requests: about 19 hours
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.49
  • Merged pull requests: 41
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 15
  • Average time to close issues: N/A
  • Average time to close pull requests: about 20 hours
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.13
  • Merged pull requests: 15
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • alvarolopez (1)
Pull Request Authors
  • Dialdroid (56)
  • amcaar (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 8
  • Total downloads:
    • npm 754 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 42
  • Total maintainers: 1
npmjs.org: node-red-contrib-oscar-service-cowsay

The OSCAR Cowsay Service node shows the basic functionality for invoking the OSCAR service synchronously.

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 274 Last month
Rankings
Forks count: 11.7%
Stargazers count: 21.0%
Average: 30.4%
Dependent repos count: 36.4%
Dependent packages count: 52.3%
Maintainers (1)
Last synced: 8 months ago
npmjs.org: node-red-contrib-oscar-service-grayify

This node supports highly-scalable event-driven image conversion to grayscale using the popular ImageMagick software.

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 193 Last month
Rankings
Forks count: 11.7%
Stargazers count: 21.0%
Average: 30.4%
Dependent repos count: 36.4%
Dependent packages count: 52.3%
Maintainers (1)
Last synced: 8 months ago
npmjs.org: node-red-contrib-oscar-service-plants

Classify plant images among 10K species from the iNaturalist dataset.

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 155 Last month
Rankings
Forks count: 11.7%
Stargazers count: 21.0%
Average: 30.4%
Dependent repos count: 36.4%
Dependent packages count: 52.3%
Maintainers (1)
Last synced: 8 months ago
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Detect objects in images using the state-of-the-art YOLOv8 model.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 15 Last month
Rankings
Dependent repos count: 25.7%
Average: 31.6%
Dependent packages count: 37.4%
Maintainers (1)
Last synced: 8 months ago
npmjs.org: node-red-contrib-oscar-plants-classification

Classify plant images among 10K species from the iNaturalist dataset.

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 5 Last month
Rankings
Dependent repos count: 33.8%
Average: 41.0%
Dependent packages count: 48.2%
Maintainers (1)
Last synced: 8 months ago
npmjs.org: node-red-contrib-oscar-cowsay

The OSCAR Cowsay Service node shows the basic functionality for invoking the OSCAR service synchronously.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 7 Last month
Rankings
Dependent repos count: 33.8%
Average: 41.0%
Dependent packages count: 48.2%
Maintainers (1)
Last synced: 8 months ago
npmjs.org: node-red-contrib-oscar-plants

Classify plant images among 10K species from the iNaturalist dataset.

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 102 Last month
Rankings
Dependent repos count: 33.9%
Average: 41.0%
Dependent packages count: 48.2%
Maintainers (1)
Last synced: 8 months ago
npmjs.org: node-red-contrib-oscar-grayify

This node supports highly-scalable event-driven image conversion to grayscale using the popular ImageMagick software.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 3 Last month
Rankings
Dependent repos count: 33.8%
Average: 41.9%
Downloads: 43.7%
Dependent packages count: 48.2%
Maintainers (1)
Last synced: 8 months ago