Koheesio: Python framework for building efficient data pipelines

[amotl]

About

Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.

Koheesio, named after the Finnish word for cohesion, is a robust Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.

The framework is versatile, aiming to support multiple implementations and working seamlessly with various data processing libraries or frameworks. This ensures that Koheesio can handle any data processing task, regardless of the underlying technology or data scale.

Koheesio uses Pydantic for strong typing, data validation, and settings management, ensuring a high level of type safety and structured configurations within pipeline components.

Koheesio's goal is to ensure predictable pipeline execution through a solid foundation of well-tested code and a rich set of features, making it an excellent choice for developers and organizations seeking to build robust and adaptable Data Pipelines.

Resources

• https://github.com/Nike-Inc/koheesio
• https://engineering.nike.com/koheesio/latest/

References

• https://news.ycombinator.com/item?id=40570892