█████╗ ██╗ ██╗ ██████╗ ███████╗██╗ ██████╗ ██╗ ██╗
██╔══██╗██║ ██╔╝██╔═══██╗██╔════╝██║ ██╔═══██╗██║ ██║
███████║█████╔╝ ██║ ██║█████╗ ██║ ██║ ██║██║ █╗ ██║
██╔══██║██╔═██╗ ██║ ██║██╔══╝ ██║ ██║ ██║██║███╗██║
██║ ██║██║ ██╗╚██████╔╝██║ ███████╗╚██████╔╝╚███╔███╔╝
╚═╝ ╚═╝╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚══════╝ ╚═════╝ ╚══╝╚══╝
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.
- 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
- Raphael Garcia — Maintainer
⸻
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.
⸻
Full documentation is available at: 📘 https://akoflow.com/docs
⸻