poitflow

Poitflow is a conceptual open-source framework for designing, executing, and monitoring data processing pipelines using a flow-based, or graph-based, model. Pipelines consist of interconnected nodes that perform discrete tasks and pass data along edges.

The core idea is to represent workflows as directed acyclic graphs, enabling parallelism, conditional routing, and fault tolerance. Poitflow emphasizes modularity: tasks are encapsulated as reusable components, and pipelines can be composed by wiring components together.

Architecture: a lightweight core engine interprets pipeline definitions, a node library provides common processing primitives, and a connector layer interfaces with data sources and sinks. An observability layer records metrics, logs, and lineage information for each execution.

Pipeline definition is declarative, using a domain-specific language or YAML-like configuration. Features include branching, loops, retries with backoff, and dynamic parameterization. The runtime supports pluggable executors to run tasks in local, container, or cloud environments.

Typical use cases include ETL and ELT workloads, streaming data transformations, and machine learning feature pipelines. It is designed to be platform-agnostic, running on-premises or in cloud environments, with emphasis on portability and reproducibility.

Development and status: Poitflow is presented as a community-driven project with open governance, permissive licensing, and comprehensive documentation. It remains a niche tool compared to larger industry leaders, but serves as an educational example of flow-based workflow design.

See also: workflow management, dataflow, DAG, Apache NiFi, Apache Airflow.