Python-native infrastructure for the cloud

LaunchFlow deploys Python applications and cloud resources to production-ready environments in your own GCP, AWS, or Azure account.

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Virtual cloud environments

Tired of DevOps?

Use LaunchFlow's Python SDK to automatically create and connect to infrastructure across multiple cloud environments.

100% Python | Zero DevOps

1 import launchflow as lf
3 # Automatically deploys to your cloud account
4 postgres = lf.Postgres("my-database")
5 redis = lf.Redis("my-cache")
7 # Ready to use with no additional setup
8 postgres.query("SELECT * FROM users")
9 redis.get("user_session")

API IconDeploy from GitHub

Automatically deploy when you push to GitHub

API IconDeploy with CLI

Deploy from your terminal with a single command

API IconRelease Pipelines

Switch environments with zero code changes

API IconProduction ready

Configured for security, performance, and reliability

Bring your own framework

LaunchFlow works in any Python environment and integrates with popular API frameworks.

Add Postgres, task queues, and more to your existing FastAPI app.
1 import launchflow as lf
2 from fastapi import FastAPI, Depends
4 # Resources automatically created and connected
5 postgres = lf.Postgres("my-database")
6 task_queue = lf.TaskQueue("my-queue")
8 app = FastAPI()
11 def signup(
12 # Native FastAPI dependencies
13 db=Depends(postgres.sqlalchemy_session),
14 queue=Depends(task_queue.client),
15 ):
16 db.execute("INSERT INTO users ...")
17 queue.push({"event": "signup"})
18 return {"message": "Signup successful"}

Ready to get started?

Explore the docs, or create an account to start building with LaunchFlow. You can also contact the founders directly with any questions.


Start for free

Our free tier is perfect for small projects and teams.

Pricing details

Start building

Deploy your first system in as little as 10 minutes.

API reference