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AkôFlow is an open-source engine for orchestrating and executing container-based scientific workflows in the computing continuum. It was originally developed within the e-Science Research Group at the Institute of Computing, Fluminense Federal University (UFF).
Although initially focused on Kubernetes-based workloads, AkôFlow has evolved to support general containerized execution across multiple infrastructures.
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To learn more about AkôFlow, please visit our project page: https://akoflow.com/
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To see our documentation, please visit: https://uffescience.github.io/akoflow/
AkôFlow can be installed and run with a single command, making it easy to get started with containerized workflow execution.
curl -fsSL https://akoflow.com/run | bash All images are published to Docker Hub for linux/amd64 and linux/arm64.
New versions are released automatically when a tag in the format v0.x.y is pushed to this repository.
Each release includes binaries, desktop installers, and versioned Docker images.
See all releases: https://github.com/UFFeScience/akoflow/releases
- D.Sc. Daniel de Oliveira — Research Advisor
- Wesley Ferreira - @ovvesley — Maintainer - IC/UFF
- Liliane Kunstmann - COPPE/UFRJ
- Debora Pina - COPPE/UFRJ
- Raphael Garcia — IC/UFF
- Yuri Frota — IC/UFF
- Marcos Bedo — IC/UFF
- Aline Paes — IC/UFF
- Luan Teylo — INRIA/Université de Bordeaux
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Ferreira, W., Kunstmann, L., Paes, A., Bedo, M., & de Oliveira, D. (2024, October).
AkôFlow: um Middleware para execução de Workflows científicos em múltiplos ambientes conteinerizados. In 39th Simpósio Brasileiro de Banco de Dados (SBBD) (pp. 27-39). SBC. (DOI:10.5753/sbbd.2024.241126.) -
Ferreira, W., Kunstmann, L., Garcia R., Bedo, M., & de Oliveira, D. (2025, October). Plug and Flow: Execução de Workflows Científicos em Contêineres com o Middleware
AkôFlow. In 40th Simpósio Brasileiro de Banco de Dados (SBBD). (Paper just accepted)
AkôFlow originated as a final undergraduate project and has since expanded with broader contributions and integrations. It continues to serve both academic and industrial workflow execution scenarios.