GlassFlow SDK

Learn about GlassFlow SDK for Python.

The GlassFlow Python SDK offers a programmatic way to interact with GlassFlow pipelines. It enables continuous publish real-time events to the GlassFlow pipelines and consumption. With the help of SDK, you can create custom integrations in Python for any data source and sink.

Getting started

Publish and Consume data

Download Jupyter Notebook getting started guide file

Resources

SDK Reference

Source Code

Discussions

Release Notes

Key Features

Data Ingestion

You can ingest data from different data sources in Python and push data into your GlassFlow pipelines.

Error Handling

Handles errors, makes easy debugging, providing detailed API error messages and logs.

Data Transformation Failure Handling

If the data transformation fails, the unsuccessfully processed events are stored in a failed queue. You can consume those events from the pipeline.

Data Security

Secures data through secure access tokens and robust authentication mechanisms, providing a secure environment for sensitive data operations.