---
id: dbt-copilot-python
version: "2.1.0"
license: unclear
license_treatment: unclear
maintenance: active
---

# dbt-copilot-python — Helper functions to run Django and Flask applications in AWS Copilot/ECS.

License: unclear · Maintenance: active · Downloads: 103.3K/mo

## What it is and what it does

dbt-copilot-python is a utility library that bridges Django and Flask applications with AWS Copilot and ECS deployment infrastructure. It provides helper functions to configure common application needs when running in containerized AWS environments: setting up allowed hosts for load balancer health checks, configuring database connections from AWS Secrets Manager, establishing Celery worker health checks, and integrating error tracking with Datadog.

The package is designed to reduce boilerplate configuration code in applications deployed via AWS Copilot. It depends only on requests at runtime, with optional extras for Celery and Datadog error tracking. It supports Python 3.9 through 3.13 and is intended for teams already committed to the AWS Copilot deployment model.

Use it for:

- Configure Django ALLOWED_HOSTS automatically for ALB health checks in ECS
- Load RDS database credentials from AWS Secrets Manager into Django DATABASES settings
- Set up Celery worker health checks in Copilot-managed services
- Attach Datadog error tracking filters to application loggers for centralized monitoring
- Standardize AWS Copilot configuration across multiple Flask or Django projects

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides utility functions for running Django and Flask applications in AWS ECS via AWS Copilot, including configuration helpers for networking, databases, Celery workers, and error tracking.

Yes, if you are already using AWS Copilot to deploy Django or Flask applications and want to reduce configuration boilerplate. The low install friction and active maintenance make it a reasonable choice for that specific use case. However, verify the license terms first, as they are not clearly documented in the package metadata.

## Install

pip install dbt-copilot-python
uv add dbt-copilot-python
poetry add dbt-copilot-python

## Installing dbt-copilot-python

Before you install: Low install friction with a single runtime dependency (requests). Actively maintained as of 179 days ago. Supports Python 3.9 through 3.13.

License in practice: License status is unclear—no SPDX identifier or raw license text is available in the package metadata, so you should verify the actual license terms before use.

Quickstart:

pip install dbt-copilot-python

from dbt_copilot_python.network import setup_allowed_hosts

ALLOWED_HOSTS = setup_allowed_hosts([])

Requires Python 3.9 or later. Optional Celery and ddtrace dependencies for additional features.

Verify before relying:

- Actual license terms and conditions (license_treatment is marked unclear)
- Whether the package is actively maintained beyond the 179-day release window
- Real-world compatibility with current AWS Copilot API versions

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 103.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

django flask aws ecs copilot, aws copilot deployment helpers, ecs application configuration, celery health check aws, django database secrets manager, aws copilot python utilities, flask ecs deployment, aws-deployment, django-flask, ecs-copilot

[View on SkillFed](https://skillfed.io/packages/dbt-copilot-python) · [View on PyPI](https://pypi.org/project/dbt-copilot-python/)