launchflow 0.4.7.dev1

Python-native infrastructure for the cloud: LaunchFlow provides a Python SDK that automatically creates and connects to production-ready infrastructure (such as Postgres, Redis, etc..) in your own cloud account. LaunchFlow completely removes the need for DevOps allowing you to focus on your application logic.

Deploy to AWS / GCP with Python

📖 Docs   |   ⚡ Quickstart   |   👋 Slack

LaunchFlow is an open source deployment tool that makes it easy to launch applications to Serverless, VMs, & Kubernetes on AWS and GCP (Azure coming soon).

Use the Python SDK to define your infrastructure in code, then run lf deploy to deploy everything to a dedicated environment in your cloud account.

Fully customizable but configured by default - no messy YAML required.

⚙️ Installation

pip install launchflow

📖 Examples

GCP Cloud Storage Bucket

1. Define a GCS Bucket

import launchflow as lf

bucket = lf.gcp.GCSBucket("my-bucket")

2. Create the GCS bucket in your project

launchflow create

3. Use the Cloud SQL instance in your application

from infra import bucket

bucket.blob("my-file").upload_from_filename("my-file")

GCP Cloud SQL

1. Define a Cloud SQL instance

import launchflow as lf

db = lf.gcp.CloudSQLPostgres("my-pg-db")

2. Create the Cloud SQL instance in your project

launchflow create

3. Use the Cloud SQL instance in your application

from infra import db

engine = db.sqlalchemy_engine()

FastAPI Integration

Built-in dependencies can easily be injected into your FastAPI application.

from fastapi import FastAPI, Depends
import launchflow
from sqlalchemy import text

db = launchflow.gcp.CloudSQLPostgres("my-pg-db")
engine = db.sqlalchemy_engine()
get_db = launchflow.fastapi.sqlalchemy(engine)

app = FastAPI()

@app.get("/")
def read_root(db: Session = Depends(get_db)):
    return db.execute(text("SELECT 1")).scalar_one_or_none()