Run Python files fast by keeping Python warm in the background. Thin UI wrapper around the pydaemon CLI.

Why

Python cold-start (Django, FastAPI, PyTorch, etc.) can take 1–5 seconds on every run. pydaemon keeps a warm Python interpreter alive on a Unix socket so subsequent runs execute in milliseconds.

Features

▶ Run via daemon CodeLens at the top of every Python file
Cmd+Enter runs the current file through the warm daemon
Activity bar sidebar with daemon status, actions, and config
Status bar indicator shows daemon state at a glance
Inline timing decoration after each run
Runs unsaved editor buffers (no need to save first)

Prerequisite: install the CLI

The extension shells out to the pydaemon CLI, so install it first:

pipx install git+https://github.com/yoyo-67/pydaemon.git#subdirectory=packages/python

Verify: pydaemon --help.

Usage

cd into your Python project
Start a daemon in a terminal: pydaemon serve
Open a .py file in VS Code and press Cmd+Enter (or click the ▶ CodeLens)

For framework bootstrap (Django django.setup(), FastAPI startup, model loading), add a .pydaemon.json at your project root. See the main README for config options.

Commands

pydaemon: Run File — run the current Python file via the daemon (Cmd+Enter)
pydaemon: Start Daemon / Stop Daemon / Restart Daemon
pydaemon: Toggle Output
pydaemon: Info — show resolved config
pydaemon: Open .pydaemon.json
pydaemon: Reset Run State

Settings

Setting	Default	Description
`pydaemon.cliPath`	`pydaemon`	Path to the pydaemon CLI
`pydaemon.runTimeoutMs`	`60000`	Per-run timeout in ms
`pydaemon.codeLens`	`true`	Show the "▶ Run via daemon" CodeLens
`pydaemon.statusBar`	`true`	Show daemon state in the status bar
`pydaemon.statusPollMs`	`2000`	Status poll interval in ms