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GlassFlow Overview

GlassFlow is a tool to build Event-Driven data pipelines in Python. Users do not need Kafka or Flink and can run end to end data pipelines fully in Python. GlassFlow runs completly serverless without need to configure any clusters or handle complicated infrastructure. Start with our in-built message broker, Google Pub/Sub, Kinesis or our webhook to build your pipeline within 15 minutes.

Getting Started

Vist https://glassflow.dev to learn more or sign up for a free GlassFlow account here

To start running locally, follow the quickstart guide using Jupyter Notebook

To explore more examples, visit the glassflow-examples repository.

Feel free to explore, contribute, and join our slack community! 🚀

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  1. glassflow-examples glassflow-examples Public

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  3. glassflow-python-sdk glassflow-python-sdk Public

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    The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

    Python 0 4,473 0 0 Updated Mar 25, 2025
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    This Github Action lets you automate GlassFlow pipelines deployments as code

    Python 1 0 0 0 Updated Feb 24, 2025
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    GlassFlow Python SDK to publish and consume data to your pipelines at Glassflow.dev

    Python 9 MIT 0 1 2 Updated Feb 20, 2025
  • glassflow-examples Public

    Tutorials, templates for running glassflow pipelines

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