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BrickflowUI

Python-first internal app platform

Build dashboards, portals, copilots, and product-grade internal apps in pure Python.

BrickflowUI is for teams that want a Python-first authoring experience without giving up application shells, structured interactions, branding, responsive layouts, packaged frontend assets, or enterprise-style deployment guidance.

Dashboards Secure internal tools Pipeline command centers Copilot workspaces Databricks portals
Why teams evaluate it It aims to close the gap between notebook UI speed and custom frontend ambition.
What it optimizes Python ownership, reactive state, richer UI surfaces, brand control, and evaluator-friendly docs.
Who it serves Data platform teams, analytics builders, internal tool engineers, and regulated enterprise workflows.

BrickflowUI brand lockup

Start Here

Why BrickflowUI Understand the product wedge, end users, and where the framework fits against notebook-style tools. Quick Start Install the package, run your first app, and verify the runtime in minutes. Learn BrickflowUI Follow the structured curriculum from first principles to a capstone portal build. API Reference Review the current public surface, hooks, theme sections, auth helpers, and component categories. Examples See flagship apps that prove shell design, analytics, media, pipelines, security, and chat workflows. Deploy Understand how BrickflowUI packages for Databricks Apps and stricter enterprise environments.

What A Serious Evaluation Looks Like

If you are evaluating BrickflowUI as a platform rather than casually exploring it, use this path:

  1. Why BrickflowUI
  2. Architecture
  3. Performance And Scalability
  4. Auth And Security
  5. API Reference
  6. Examples
  7. Databricks Apps

Built-To-Ship Surfaces

Analytics command centers Sidebars, KPI cards, premium tables, charts, filters, drilldowns, and theme-aware shells.
Pipeline operations portals Freshness, DAGs, SLA controls, warehouse views, incidents, and operator-friendly status surfaces.
Secure internal tools Auth-aware pages, route guards, governed views, deployment notes, and enterprise-style navigation.
Copilot workspaces Chat UI, assistant workflows, source drawers, structured filters, and media-rich support surfaces.

Runtime Overview

BrickflowUI runtime flow

Product Areas

Component Library Browse grouped component guides and detailed pages for layout, controls, data, navigation, charts, and workflow patterns. Build A Real Portal Follow a larger SaaS-style app build that connects shells, filters, state, tables, charts, and deployment thinking. Visualizations And Pipelines Learn the chart, Plotly, pipeline graph, and workflow visualization surface in one place. Local Development Validate runtime behavior, auth patterns, assets, responsiveness, and debugging workflows locally. FAQ Get direct answers to the questions evaluators and builders ask most often. Recipes Find targeted implementation patterns for auth, Databricks SQL, charts, chatbot UI, and deployment flows.

Enterprise Checkpoints

Auth and route guards

Theme system

Deployment topology

If you are new to the framework, this is the fastest way to build confidence:

  1. Quick Start
  2. Learn BrickflowUI
  3. Examples
  4. API Reference
  5. Local Development
  6. Databricks Apps

Install

pip install brickflowui

import brickflowui as db

First App

import brickflowui as db

app = db.App(title="Hello BrickflowUI")

@app.page("/", title="Home")
def home():
    count, set_count = db.use_state(0)
    return db.Column(
        [
            db.Text("Hello BrickflowUI", variant="h1"),
            db.Text(f"Count: {count}"),
            db.Button("Increment", on_click=lambda: set_count(count + 1), icon="Plus"),
        ],
        gap=4,
        padding=6,
    )

if __name__ == "__main__":
    app.run()