█████╗ ██╗  ██╗ ██████╗ ███████╗██╗      ██████╗ ██╗    ██╗
██╔══██╗██║ ██╔╝██╔═══██╗██╔════╝██║     ██╔═══██╗██║    ██║
███████║█████╔╝ ██║   ██║█████╗  ██║     ██║   ██║██║ █╗ ██║
██╔══██║██╔═██╗ ██║   ██║██╔══╝  ██║     ██║   ██║██║███╗██║
██║  ██║██║  ██╗╚██████╔╝██║     ███████╗╚██████╔╝╚███╔███╔╝
╚═╝  ╚═╝╚═╝  ╚═╝ ╚═════╝ ╚═╝     ╚══════╝ ╚═════╝  ╚══╝╚══╝

AkôFlow - Open Source Engine for Containerized Scientific Workflows

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.

Software Requirements

• 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)

Instalation Workflow Engine

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.

To see deployment Control Plane (https://github.com/UFFeScience/akoflow-deployment-control-plane)

Demonstration video

AkôFlow Demonstration (In Portuguese)

Supported Environments

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

Contributors

• 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

Publications (in Portuguese)

• 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)

Academic Context

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.