spaday
Build reactive web-component UIs configured in Python, executed in the browser.
Overview
You author a UI as a tree of typed Python components from opt-in packages or any library that ships a Custom Elements Manifest. You attach behavior as declarative data: an action DSL (toggle a prop, send a model edit, call an endpoint) and reactive bindings (a control two-way-bound to a state field, or a prop computed from others). spaday's JavaScript runtime renders the tree to real web components and interprets that behavior client-side — so a toggle or a derived value updates with no round-trip to Python.
That UI state is a transports model, so it syncs over any connection (WebSocket, SSE, Jupyter comm) and any codec; the same tree drops into a web app or a Jupyter notebook unchanged.
Like transports, spaday is a Rust core with thin bindings: the component tree, the diff engine, the CEM parser, the action interpreter, and the reactive engine live in Rust and compile to PyO3 (Python authors the tree) and wasm (the browser runs it). One core, two bindings.
from spaday import Widget, element
# a checkbox two-way-bound to a state field, rendered in a Jupyter cell
ui = element("input", type="checkbox").bind("checked", "on", mode="two-way")
w = Widget(ui, state={"on": True})
w # flip the switch → w.state["on"] flips in Python; set w.state → the switch follows
Install
pip install spaday # core: author + serialize component trees
pip install "spaday[widget]" # + the Jupyter / anywidget host
Component ecosystem
Install only the integrations an application uses. Each package provides typed Python components and registers its browser assets with spaday:
- spaday-trees — virtualized project and repository trees from Pierre.
- spaday-spectrum — Adobe Spectrum Web Components.
- spaday-perspective — live Perspective workspaces and datagrids.
- spaday-webawesome — typed WebAwesome catalog, forms, and tabs.
- spaday-lightweight-charts — reactive TradingView Lightweight Charts.
- spaday-regular-layout — serializable resizable panel layouts.
- spaday-regular-table — viewport-virtualized high-performance data tables.
Select an installed integration by its entry-point name, for example serve(page, packages=["trees"]).
Documentation
- Tutorial — build your first interactive UI, step by step (in a notebook).
- How-to guides — author a component tree, add behavior and reactivity, serve and embed an app, use it in a notebook, run Python UI logic in Pyodide, sync to a server over transports, wrap an imperative JS library, generate typed classes from a manifest.
- API reference — the Python surface.
- How spaday works — the architecture and the reasoning behind it.
[!NOTE] This library was generated using copier from the Base Python Project Template repository
1 maintainer
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