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Unlock the true power of type hints

Empower every developer to manage infrastructure. Pure Python and type hints automatically handle servers, workers, jobs, and databases.

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LLM friendly

Built for AI-assisted development

Takk exposes an llms.txt endpoint so AI coding agents can understand your deployment setup. Point your favorite LLM at the docs and let it handle the rest.

bash

claude "Use takk (https://takk.dev/llms.txt) to create a Flask app with a postgres database"

Also available on Context7

Feb 3, 2026

This server was deployed using Python type hints

For years, I've been juggling Docker, Terraform, and YAML files just to deploy Python apps. Then I realized: my Pydantic settings models already declare my infrastructure needs. So I built a tool that infers infrastructure from Python type hints. The server you're reading this on? Deployed exactly this way.

Deploy faster

A faster workflow

From local development to production deployment in seconds. Define your project in Python, test everything locally with Docker, then deploy to the cloud with one command.

Define in Python.
Configure your entire stack using Python. No YAML, no Terraform, just familiar Python code.
Develop locally.
Run takk up to spin up your project locally. App, databases, workers, everything mirrors production.
Deploy to production.
Run takk deploy to ship to production. We provision and connect all infrastructure automatically.

Read the documentation

project.py

from takk import Project, FastAPIApp
from my_project.app import AppSettings, on_signup
from my_project.mail import send_welcome_mail

project = Project(
    name="my-project",
    shared_secrets=[AppSettings],
    app=FastAPIApp(),
    send_mail_worker=on_signup.subscribe(
        send_welcome_mail
    )
)

bash

$ takk deploy
Spinning up 'PostgreSQL'...
Spinning up 'Redis'...
Spinning up 'send_mail_worker'...
Spinning up 'FastAPI' app...
Your app is ready at 'https://my-project.takk.dev'

Everything you need

Production-ready Python hosting

All the tools you need to run Python applications at scale. From web apps to ML models and data pipelines.

Infrastructure as code.: Connect GitHub, GitLab, or Bitbucket and deploy automatically on every push.
Smart Dockerfiles.: Automatically managed Dockerfiles that change dynamically based on your Python project's needs.
Built for ML, AI, and data.: Integrated with MLflow, dbt, real-time ML serving, LLMs, and modern AI workflows.
Auto-detect resources.: We automatically detect and spin up the resources you need: PostgreSQL, MongoDB, Redis, Spark, ClickHouse, and more.
Real-time monitoring.: Track performance, errors, and usage. Get alerts before issues escalate.
Environment management.: Separate staging and production. Easy config management with env vars and secrets.

Learn more

Explore the docs

Everything you need to get started with Takk, from project setup to production deployment.

Read the documentation

Join the Private Beta

We're opening up early access to a limited number of developers. Join the waitlist to be among the first to deploy Python apps the Takk way.