High-performance reactive web framework for Python. Build dashboards, internal tools, and data apps with a Streamlit-like API but 10x faster.
Project description
Cacao
High-performance reactive web framework for Python. Build dashboards, internal tools, and data apps with a simple API — 10x faster than Streamlit with true WebSocket reactivity.
v2.0 - Complete rewrite with signal-based reactivity, session-scoped state, and a Streamlit-like API that doesn't re-run your entire script.
Quick Start
pip install cacao
Hello World (4 lines)
import cacao as c
c.title("Hello, Cacao!")
c.text("Welcome to the simplest Python web framework")
Interactive Counter
import cacao as c
c.config(title="Counter")
count = c.signal(0, name="count")
@c.on("increment")
async def increment(session, event):
count.set(session, count.get(session) + 1)
@c.on("decrement")
async def decrement(session, event):
count.set(session, count.get(session) - 1)
c.title("Counter")
with c.card():
c.metric("Count", count)
with c.row():
c.button("-", on_click="decrement", variant="secondary")
c.button("+", on_click="increment")
Dashboard with Charts
import cacao as c
c.config(title="Sales Dashboard", theme="dark")
sales = c.sample_sales_data()
c.title("Sales Dashboard")
with c.row():
c.metric("Revenue", "$45,231", trend="+20.1%", trend_direction="up")
c.metric("Orders", "1,247", trend="+12.5%", trend_direction="up")
c.metric("Customers", "842", trend="+5.3%", trend_direction="up")
with c.row():
with c.col(span=8):
with c.card("Revenue Trend"):
c.line(sales, x="date", y="revenue", area=True)
with c.col(span=4):
with c.card("By Category"):
c.pie(sales[:5], values="revenue", names="category", donut=True)
with c.card("Recent Transactions"):
c.table(sales[:10], columns=["date", "category", "revenue", "orders"])
Run with:
cacao run dashboard.py
Why Cacao?
| Feature | Cacao | Streamlit |
|---|---|---|
| Reactivity | Signal-based (only changed values update) | Full script re-run on every interaction |
| State | Session-scoped by design | st.session_state bolt-on |
| Updates | WebSocket streaming (instant) | HTTP polling (laggy) |
| Multi-user | Isolated sessions built-in | Shared state issues |
| API | Context managers + decorators | Magic globals |
Core Concepts
Signals (Reactive State)
count = c.signal(0, name="count")
# Get value for a session
current = count.get(session)
# Set value (auto-syncs to client)
count.set(session, current + 1)
Event Handlers
@c.on("submit")
async def handle_submit(session, event):
print(event.get("value"))
Layout Components
with c.row(): # Horizontal layout
with c.col(span=8): # 8/12 width column
c.text("Main content")
with c.col(span=4): # 4/12 width column
c.text("Sidebar")
with c.card("Title"): # Card container
c.metric("Value", 100)
with c.tabs(): # Tabbed content
with c.tab("tab1", "First"):
c.text("Tab 1 content")
with c.tab("tab2", "Second"):
c.text("Tab 2 content")
Form Components
c.button("Click me", on_click="submit")
c.input("Name", signal=name_signal)
c.select("Category", ["A", "B", "C"])
c.checkbox("Agree", signal=agree_signal)
c.slider("Volume", min=0, max=100)
Charts
c.line(data, x="date", y="value")
c.bar(data, x="category", y="count")
c.pie(data, values="amount", names="label")
c.area(data, x="date", y="value")
c.scatter(data, x="x", y="y")
c.gauge(value=75, max_value=100)
Architecture
┌─────────────────────────────────────────────────────────────────┐
│ PYTHON SERVER │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌───────────────┐ │
│ │ Signals │ │ Sessions │ │ Events │ │ WebSocket/HTTP│ │
│ │ (state) │──│ (per- │──│ (typed │──│ Server │ │
│ │ │ │ client) │ │ async) │ │ │ │
│ └──────────┘ └──────────┘ └──────────┘ └───────┬───────┘ │
└────────────────────────────────────────────────────┼───────────┘
│ JSON
│ WebSocket
┌────────────────────────────────────────────────────┼───────────┐
│ REACT CLIENT │ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────┴──────┐ │
│ │ Hooks │ │Components│ │ Event │ │ State │ │
│ │useCacao()│──│ (your UI)│──│Dispatcher│──│ Store │ │
│ └──────────┘ └──────────┘ └──────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────────┘
Project Structure
cacao/
├── __init__.py # Simple API exports
├── simple.py # Streamlit-like API
├── server/ # Core server
│ ├── app.py # App class
│ ├── signal.py # Signal, Computed
│ ├── session.py # Session management
│ ├── events.py # Event handling
│ ├── server.py # WebSocket server
│ ├── ui.py # UI components
│ ├── chart.py # Chart components
│ └── data.py # Data utilities
├── cli/ # CLI commands
└── examples/ # Example apps
CLI
# Run an app with hot reload
cacao run app.py
# Run on custom port
cacao run app.py --port 3000
# Create a new project
cacao create my-dashboard
# Build a static site (no server required)
cacao build app.py
# Build for GitHub Pages subdirectory
cacao build app.py --base-path /my-repo
Static Builds
Cacao can generate static sites that run entirely in the browser — no Python server required. Perfect for GitHub Pages, Netlify, or any static hosting.
cacao build app.py
This creates a dist/ folder with:
index.html- Your appcacao.js- Runtime with built-in handlerscacao.css- Styles
Built-in handlers for common operations work automatically:
- Encoders: Base64, URL, HTML entities, JWT decode
- Generators: UUID, passwords, Lorem Ipsum
- Converters: JSON/YAML, case conversion, number bases
- Text: Statistics, regex testing
- Crypto: Hash generation, HMAC
Deploy to GitHub Pages:
# .github/workflows/deploy.yml
- run: pip install cacao
- run: cacao build app.py --base-path /${{ github.event.repository.name }}
See cacao-tools for a full static site example.
Examples
See the examples/ directory:
examples/simple/hello.py- Minimal appexamples/simple/counter.py- Interactive counterexamples/simple/metrics.py- KPI dashboardexamples/simple/dashboard.py- Full dashboard with charts
Contributing
Contributions are welcome! Please read our contributing guidelines for details.
License
MIT
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