Getting Started with GlassFlow

Welcome to GlassFlow! This guide will help you get up and running quickly, whether you're a beginner or an experienced developer exploring event-driven data pipelines.

What is GlassFlow?

GlassFlow is a serverless platform that allows you to build, deploy, and manage real-time data pipelines entirely in Python. It eliminates the complexity of managing infrastructure, letting you focus on writing business logic for your data transformations.

Quick Start with Jupyter

Quick Start with Jupyter

Create your first pipeline with Jupyter Notebook.

Create Pipeline in Visual Editor

Create Pipeline in Visual Editor

Create your first pipeline with low-code editor.

Installation

Using the GlassFlow WebApp

  1. Sign up or log in to the GlassFlow WebApp.
  2. Follow the on-screen steps to set up your first pipeline directly in your browser.
  3. No installation is required—everything runs serverlessly.

Using the Python SDK with Jupyter

  1. To use GlassFlow locally, install the Python SDK:
  1. Sign up for an account at https://app.glassflow.dev and get your Personal Access Token from https://app.glassflow.dev/profile
  2. Follow the Jupyter Notebook Quick start guide to create a pipeline and send data to it.

Next Steps

Congratulations on setting up GlassFlow! Here are some suggested next steps to deepen your understanding and make the most of the platform:

  1. Explore Core Concepts:

    • Learn about the foundational principles of GlassFlow, including event-driven architecture and serverless execution.
    • Check out the Concepts section.

  2. Build Advanced Pipelines:

    • Dive into more complex use cases like data enrichment and integrating external APIs.
    • Follow the examples on Github.

  3. Learn the SDK:

    • If you prefer programmatic control, use the GlassFlow SDK to build and manage pipelines.
    • Refer to the SDK Reference for detailed information.
    • Follow SDK usage examples on Github.

  4. Integrate with Your Ecosystem:

    • Connect GlassFlow with your existing cloud services, databases, or message brokers.
    • Explore the Integration Guides.

  5. Join the Community:

    • Contribute examples, ask questions, or share feedback with other GlassFlow users.
    • Head over to the Slack Community.

You're now ready to explore the full potential of GlassFlow. Start building scalable, real-time pipelines today!

On this page

What is GlassFlow?InstallationUsing the GlassFlow WebAppUsing the Python SDK with JupyterNext Steps