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AkôFlow is an open-source middleware for orchestrating and executing container-based scientific workflows across heterogeneous environments. 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.

• Operating System: Linux, macOS or WSL2 (Windows Subsystem for Linux)
• Docker: Install Docker
• kubectl: Install kubectl
• Kubernetes Cluster: One of the following:
  • Kind (local)
  • Docker Desktop Kubernetes (enable Kubernetes in settings)
  • Cloud providers (e.g., EKS, GKE, AKS)

Run the following command to install AkôFlow:

curl -fsSL https://akoflow.com/run | bash

AkôFlow will be available at http://localhost:8080.

To view the full documentation, click here.

AkôFlow Demonstration (In Portuguese)

• Kubernetes (public cloud providers: AWS, GCP, Azure, etc.)
• Singularity (for local or HPC isolated execution)
• SDumont supercomputer (LNCC - Brazil)

• 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

• 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.