> For the complete documentation index, see [llms.txt](https://docs.litwizlabs.ai/wizstudio/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.litwizlabs.ai/wizstudio/kubeflow/kf-pipelines/components.md).

# Components

Author KFP components

Components are the building blocks of KFP pipelines. A component is a remote function definition; it specifies inputs, has user-defined logic in its body, and can create outputs. When the component template is instantiated with input parameters, we call it a task.

KFP provides two high-level ways to author components: **Python Components** and **Container Components.**

Python Components are a convenient way to author components implemented in pure Python. There are two specific types of Python components: **Lightweight Python Components** and **Containerized Python Components.**

Container Components expose a more flexible, advanced authoring approach by allowing you to define a component using an arbitrary container definition. This is the recommended approach for components that are not implemented in pure Python.

**Importer Components** are a special “pre-baked” component provided by KFP which allows you to import an artifact into your pipeline when that artifact was not created by tasks within the pipeline.