hotframe 0.1.1

Modular Python web framework with hot-mount dynamic modules — FastAPI + SQLAlchemy + Jinja + HTMX + Alpine.

Modular Python web framework with hot-mount dynamic modules.

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What is hotframe

hotframe is a Python web framework that unifies FastAPI, SQLAlchemy 2.0, Jinja2, HTMX, and Alpine.js under Django-like ergonomics. It adds a hot-mount module engine — load and unload plugins at runtime without restarting the process — and a Turbo/Livewire-style HTMX layer for server-driven UI. Built for teams who want the productivity of Rails or Django with the async performance of FastAPI.

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Quickstart

pip install hotframe

hf startproject myapp
cd myapp
hf runserver

INFO     hotframe.modules - Mounted: core, auth, admin (3 modules)
INFO     hotframe.server - Uvicorn running on http://127.0.0.1:8000
INFO     hotframe.server - Press CTRL+C to quit

The CLI installs two aliases: hf (short) and hotframe (explicit).

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Key Features

• Hot-mount dynamic modules — Load and unload Python modules at runtime via a DB registry with topological dependency resolution. No process restart required.

• HTMX layer (Turbo/Livewire-style) — @htmx_view decorator, named frames, TurboStream responses, out-of-band swaps, and server-sent event broadcasting. Build rich UIs without writing JavaScript.

• Django-like ergonomics — AppConfig, settings.py, management commands, scaffolding CLI. Familiar conventions so teams onboard in minutes, not days.

• AsyncEventBus + HookRegistry — WordPress-style actions and filters across modules. Decouple features without tight imports. Fully async-native.

• SQLAlchemy 2.0 + Alembic — Async sessions, per-module migration namespaces, and automatic migration discovery. No shared migration root.

• Jinja2 + Alpine.js integration — Template inheritance, context processors, CSP-safe nonce injection, and Alpine.js wired out of the box.

• OpenTelemetry observability — Traces, metrics, and structured logs built into the request lifecycle. Zero extra setup for OTLP exporters.

• CLI scaffolding — hf startproject, hf startapp, hf startmodule, hf makemigrations, hf migrate. Generate production-ready skeletons from the command line.

• Interactive shell — hf shell opens a Python REPL with the app fully booted: app, settings, db, events, hooks, slots, and runtime are pre-loaded. Use it for ad-hoc queries, slot debugging, or inspecting module state. Install pip install "hotframe[shell]" for the optional IPython backend with auto-await.

• Reusable components — Server-rendered UI widgets with a required template.html and optional Pydantic-typed props, colocated HTTP routes, and per-component static assets. Apps and hot-mount modules contribute components; hf startproject scaffolds alert and badge as editable examples. Invoke from any template via {{ render_component('name', ...) }} or {% component 'name' %}...{% endcomponent %}.

• HTTP client subsystem — AuthenticatedClient wraps httpx.AsyncClient with pluggable Auth strategies (BearerAuth, ApiKeyAuth, BasicAuth, HmacAuth, CustomAuth) and a per-app registry on app.state.http_clients. Since 0.0.9, an Angular-style interceptor pipeline layers RetryInterceptor, CircuitBreakerInterceptor, and RefreshInterceptor (plus any custom interceptor) around every registered client, auto-discovered from apps/shared/interceptors/ and modules/*/interceptors.py. See docs/HTTP_CLIENTS.md and docs/http-interceptors.md.

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Comparison

Feature	Rails Turbo	Laravel Livewire	Phoenix LiveView	Django + htmx	hotframe
Language	Ruby	PHP	Elixir	Python	Python
Server-driven UI	Yes	Yes	Yes	Partial	Yes
Hot-reload modules	No	No	No	No	Yes
Async-native	No	No	Yes	No	Yes
ORM	ActiveRecord	Eloquent	Ecto	Django ORM	SQLAlchemy 2.0
Per-module migrations	No	No	No	No	Yes
Plugin hooks system	No	No	No	No	Yes
CLI scaffolding	Yes	Yes	Yes	Yes	Yes
PyPI installable	No	No	No	Yes	Yes

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Minimal Example

Define a module with a model, a route, and a template in under 20 lines:

# modules/blog/module.py
from hotframe import ModuleConfig

class BlogModule(ModuleConfig):
    name = "blog"
    version = "1.0.0"
    dependencies = ["core", "auth"]

# modules/blog/models.py
from hotframe import Base
from sqlalchemy.orm import Mapped, mapped_column

class Post(Base):
    __tablename__ = "blog_posts"
    id: Mapped[int] = mapped_column(primary_key=True)
    title: Mapped[str]
    body: Mapped[str]

# modules/blog/routes.py
from fastapi import APIRouter, Request
from hotframe import htmx_view, DbSession
from .models import Post

router = APIRouter()

@router.get("/blog")
@htmx_view(module_id="blog", view_id="list")
async def post_list(request: Request, db: DbSession):
    posts = await db.execute(select(Post))
    return {"posts": posts.scalars().all()}

<!-- modules/blog/templates/blog/index.html -->
<div hx-get="/blog" hx-trigger="every 30s" hx-swap="innerHTML">
  {% for post in posts %}
    <article>{{ post.title }}</article>
  {% endfor %}
</div>

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Architecture Overview

hotframe is organized in three layers:

Runtime layer — the framework core. Boots FastAPI, wires middleware, initializes the DB engine, and exposes the public API (@htmx_view, router, settings, EventBus, HookRegistry).

Module layer — each module is a Python package with a ModuleConfig subclass, its own models, views, templates, migrations, and static assets. The module engine resolves dependency order, mounts routes and Alembic migration contexts, and registers hook namespaces. Modules can be installed, uninstalled, enabled, and disabled at runtime via the admin API without touching the running process.

HTMX layer — sits on top of FastAPI responses. The @htmx_view decorator detects HX-Request headers and returns partial renders or full-page responses automatically. TurboStream helpers produce text/vnd.turbo-stream.html responses for out-of-band DOM updates. The EventBus integrates with server-sent events for real-time broadcasting to named HTMX frames.

The CLI (hf) is a Typer application that wraps Uvicorn, Alembic, and the scaffolding generators. It reads settings.py from the project root and discovers modules automatically from the modules/ directory.

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Documentation

Documentation is available in the docs/ directory.

• Architecture
• Components
• Shell
• HTTP clients
• HTTP interceptors
• Changelog
• Security policy

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License

Apache 2.0. Copyright 2026 ERPlora.

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Contributing

See CONTRIBUTING.md. Feedback and issue reports are welcome while the project is in pre-alpha. Code contributions open on first stable release.