node-red-contrib-oscar-cowsay
Low-code composition of AI inference pipelines
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (12.6%) to scientific vocabulary
Repository
Low-code composition of AI inference pipelines
Basic Info
Statistics
- Stars: 4
- Watchers: 5
- Forks: 3
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
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.
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.
Acknowledgements

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
- Website: http://ai4eosc.eu
- Twitter: AI4EOSC
- Repositories: 1
- Profile: https://github.com/ai4os
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"
}
}
],
"contributor": [
{
"@type": "Person",
"givenName": "Amanda",
"familyName": "Calatrava Arroyo",
"email": "amcaar@i3m.upv.es",
"affiliation": {
"@type": "Organization",
"name": "GryCAP (I3M) - UPV"
}
}
]
}
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
Top Committers
| Name | 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
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Total downloads:
- npm 754 last-month
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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.
- Homepage: https://github.com/ai4os/ai4-compose
- License: ISC
- Status: unpublished
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Latest release: 1.0.5
published about 2 years ago
Rankings
Maintainers (1)
npmjs.org: node-red-contrib-oscar-service-grayify
This node supports highly-scalable event-driven image conversion to grayscale using the popular ImageMagick software.
- Homepage: https://github.com/ai4os/ai4-compose
- License: ISC
- Status: unpublished
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Latest release: 1.0.11
published over 2 years ago
Rankings
Maintainers (1)
npmjs.org: node-red-contrib-oscar-service-plants
Classify plant images among 10K species from the iNaturalist dataset.
- Homepage: https://github.com/ai4os/ai4-compose
- License: ISC
- Status: unpublished
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Latest release: 1.0.14
published about 2 years ago
Rankings
Maintainers (1)
npmjs.org: node-red-contrib-oscar-yolo
Detect objects in images using the state-of-the-art YOLOv8 model.
- Homepage: https://github.com/ai4os/ai4-compose#readme
- License: ISC
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Latest release: 1.0.3
published about 1 year ago
Rankings
Maintainers (1)
npmjs.org: node-red-contrib-oscar-plants-classification
Classify plant images among 10K species from the iNaturalist dataset.
- Homepage: https://github.com/ai4os/ai4-compose/tree/main/node-red/modules
- License: ISC
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Latest release: 0.0.6
published about 2 years ago
Rankings
Maintainers (1)
npmjs.org: node-red-contrib-oscar-cowsay
The OSCAR Cowsay Service node shows the basic functionality for invoking the OSCAR service synchronously.
- Homepage: https://github.com/ai4os/ai4-compose/tree/main/node-red/modules
- License: ISC
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Latest release: 0.0.1
published about 2 years ago
Rankings
Maintainers (1)
npmjs.org: node-red-contrib-oscar-plants
Classify plant images among 10K species from the iNaturalist dataset.
- Homepage: https://github.com/ai4os/ai4-compose/tree/main/node-red/modules
- License: ISC
- Status: unpublished
-
Latest release: 0.0.3
published about 2 years ago
Rankings
Maintainers (1)
npmjs.org: node-red-contrib-oscar-grayify
This node supports highly-scalable event-driven image conversion to grayscale using the popular ImageMagick software.
- Homepage: https://github.com/ai4os/ai4-compose/tree/main/node-red/modules
- License: ISC
-
Latest release: 0.0.1
published about 2 years ago