https://github.com/engineering-research-and-development/dida
DIDA is a FIWARE based platform for Smart Industry
https://github.com/engineering-research-and-development/dida
Last synced: 4 months ago
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DIDA is a FIWARE based platform for Smart Industry
- Host: GitHub
- URL: https://github.com/engineering-research-and-development/dida
- Owner: Engineering-Research-and-Development
- License: agpl-3.0
- Created: 2020-04-29T14:40:26.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2025-01-31T08:41:17.000Z (over 1 year ago)
- Last Synced: 2025-05-02T15:06:18.558Z (about 1 year ago)
- Language: Shell
- Size: 4.35 MB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Digital Industry Data Analytics (DIDA) Platform
The Digital Industry Data Analytics (DIDA) Platform is an open-source solution designed to streamline data ingestion, processing, and visualization for industrial assets. As a data platform, it serves as a centralized hub for collecting, organizing, and analyzing vast amounts of data generated by industrial assets and processes, allowing efficient execution of custom algorithms encapsulated in Lego-fashion infrastructure. Flexibility, robustness and integrability are key features fir DIDA, which allows interoperability with several industrial standard and communication technologies through extensions such as the FIWARE IoT Agents or several Generic Enablers such As FIWARE PySpark Connector and FIWARE O2K Connector.
The platform leverages powerful computing engines such as Apache Spark, allowing a configurable parallel execution of custom algorithms, injecting them with a plug-and-play mehcanism.
The core component of the architecture is the FIWARE Orion Context Broker which act as a central hub for industrial data and equipped with components to guarantee data historicization through several technologies, such as relational and nonrelational databases.
Finally, a visualization layer allows the exploration of industrial asset data.
## Documentation Contents
- [Architecture](docs/Architecture.md)
- [Requirements](docs/Resources.md)
- [Deployment](docs/Deployment.md)
- [Run your Algorithms](docs/Usage.md)
- [Toolkit Versioning](docs/Versioning.md)
## Projects and Platform Specializations
DIDA Platform was involved in the following Europe Horizon Projects:
- [CAPRI](https://www.capri-project.com/) whose declension is [Cognitive Automation Platform](https://github.com/Engineering-Research-and-Development/capri_cap_blueprints)
- [AI REGIO](https://www.airegio-project.eu/) where it is a deployable [AI asset](https://airegio-portal.eu/web/guest/component?pageId=5e56677c3f140cd12c67a37b&redirect=%2Fweb%2Fguest%2Fai-orchestrators)
- [S-X-AIPI](https://s-x-aipi-project.eu/) whose declension is [Autonomic Manager](https://github.com/Engineering-Research-and-Development/s-X-AIPI-Autonomic-Manager/tree/main)
- [OPTIMAI](https://optimai.eu/) where it is specialized as [OPR4AA](https://github.com/Engineering-Research-and-Development/opr4aa-platform)
Moreover, it is part of the [AI on Demand Asset Catalog](https://www.ai4europe.eu/research/ai-catalog/dida-platform)
## License
The Digital Industry Data Analytics Platform is licensed under [Affero General Public License (GPL) version 3](https://github.com/Engineering-Research-and-Development/dida/blob/master/LICENSE).
© 2021 Engineering Ingegneria Informatica S.p.A.
### Are there any legal issues with AGPL 3.0? Is it safe for me to use?
No problem in using a product licensed under AGPL 3.0. Issues with GPL (or AGPL) licenses are mostly related with the
fact that different people assign different interpretations on the meaning of the term “derivate work” used in these
licenses. Due to this, some people believe that there is a risk in just _using_ software under GPL or AGPL licenses
(even without _modifying_ it).
For the avoidance of doubt, the owners of this software licensed under an AGPL 3.0 license wish to make a clarifying
public statement as follows:
"Please note that software derived as a result of modifying the source code of this software in order to fix a bug or
incorporate enhancements is considered a derivative work of the product. Software that merely uses or aggregates (i.e.
links to) an otherwise unmodified version of existing software is not considered a derivative work, and therefore it
does not need to be released as under the same license, or even released as open source."