GlassFlow Documentation

GlassFlow is a platform that runs event-driven data pipelines in Python.

How to get started

Get started using the GlassFlow Visual Editor or use the Jupyter Notebook quick start guide.

Quick Start with Jupyter

Create your first pipeline with Jupyter Notebook.

Create Pipeline in Visual Editor

Create your first pipeline with low-code editor.

Interacting with GlassFlow

GlassFlow WebApp

The GlassFlow WebApp provides a user-friendly interface for creating and managing data pipelines and spaces. It is easy to define data sources and sinks and set up, manage, and monitor data pipelines.

When to Use

To create a pipeline with simple steps and clicks.
To define data source and sink connection in the no-code environment.
When you need to visualize pipeline status and logs.
For easy management of pipeline configurations and transformation functions.

Key Features

Visual pipeline creation and management.
Dashboard for monitoring pipeline logs.
Built-in editor for writing, updating, and testing transformation functions.

GlassFlow Python SDK

The GlassFlow Python SDK offers a programmatic way to interact with GlassFlow pipelines, making it easy to produce and consume data using Python code.

When to Use

To publish data and consume data from GlassFlow.
When creating custom data source and sink connectors.

Key Features

Produce and consume data continuously.
Create custom data connectors for any data source and destination.
Error handling and data transformation failure handling.

Pipeline

Sources

Sinks