GlassFlow SDK
Lear 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
Resources
Key Features
Data Ingestion
You can ingest data from different data sources in Python and push data into your GlassFlow pipelines.
Data Sink
You can sink processed data from your GlassFlow pipelines into any data sinks in Python continuously.
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.
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