Honcho

Honcho is a Python port of Ruby’s Foreman, built for managing Procfile-based applications — the same web:/worker:/redis: process-per-line format popularized by Heroku and the Twelve-Factor App methodology. Given a Procfile and an optional .env file, Honcho starts every declared process as its own subprocess, multiplexes their stdout into a single colour-coded, prefixed stream, and forwards SIGINT/SIGTERM so the whole group starts and stops together.

Beyond honcho start, it ships honcho check to validate a Procfile before running it, and honcho export to convert a Procfile into real init-system configs — runit, supervisord, systemd, or upstart — via a pluggable exporter registry, so the same process definitions can move from a developer’s laptop to a production service manager without hand-writing unit files.

What You Get

• A single honcho start command that runs every process type declared in a Procfile concurrently, each with its own colour and name prefix in the combined output stream.
• .env file support for injecting environment variables (including PORT and per-process concurrency overrides) without touching your Procfile.
• A honcho check subcommand that validates Procfile syntax before you try to run it.
• A honcho export subcommand with a pluggable exporter registry (runit, supervisord, systemd, upstart) that turns your Procfile into real init-system service configs.
• A small, programmatically embeddable Manager API for driving the same process-group lifecycle from your own Python code.

Common Use Cases

• Running a web app and its background workers (e.g. web: python serve.py + worker: python worker.py) together during local development with one command.
• Validating a Procfile in CI with honcho check before deploying it.
• Generating systemd unit files or supervisord configs from a Procfile so the same process definitions run in production.
• Loading per-environment config from .env files without baking secrets into the Procfile itself.

Under The Hood

Architecture Honcho’s core structure separates concerns cleanly: environ.py parses the Procfile and .env files into an Env/Procfile data model, command.py wires argparse subcommands (start/check/export) that build a Manager from the parsed environment, manager.py orchestrates process lifecycle over a shared multiprocessing queue of message events (fed by process.py’s Process/Popen wrappers, one native OS process each), and printer.py renders that message stream to stdout with per-process colouring and prefixing. The export subsystem (honcho/export/) uses a plugin-like entry-points registry so runit/supervisord/systemd/upstart templates can be added without touching command.py. It’s a small layered pipeline (parse, manage, print) rather than a framework; the riskiest point of change is the Manager’s queue and signal-handling logic, since altering event shapes would ripple into the printer and every exporter template.

Tech Stack Pure Python 3.8-3.13 (plus PyPy) with no framework dependency — argparse drives the CLI, multiprocessing and subprocess handle process orchestration, and shlex/re parse Procfiles and .env files. Runtime dependencies are minimal: colorama for Windows colour support and an optional jinja2 extra for the export subcommand’s templates. Packaging uses setuptools with setuptools_scm for version stamping, and CI builds the package once and reuses it across a GitHub Actions matrix spanning every supported CPython version plus PyPy. There’s no database, network layer, or web framework involved — the entire surface is local process supervision.

Code Quality Tests live under a dedicated tests/ directory with one file per module plus an integration subfolder for end-to-end Procfile runs, run via pytest with coverage tracking and matrixed across Python versions in CI. Ruff lints the codebase. Error handling is explicit and narrow — invalid config values raise clear errors, and assertions guard invariants like process-name uniqueness — but the codebase predates type hints entirely, so there’s no static type-checking safety net. Naming is consistent and public classes carry docstrings.

API Design Honcho’s public surface is intentionally tiny and Foreman-compatible: three subcommands (start, check, export) mirroring Ruby Foreman’s command surface and flags, so anyone coming from Foreman has near-zero relearning cost, and the README’s quick-start gets a user from Procfile to running app in three steps. Programmatic embedding is equally low-boilerplate — building a Manager, adding processes, and calling loop() is the entire documented embedding API — though beyond that example the programmatic surface is thinly documented, so the DX is strong for CLI end-users and only adequate for library embedders.