dbt-copilot-python
Helper functions to run Django and Flask applications in AWS Copilot/ECS.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Optional Celery and ddtrace dependencies for additional features.
- Low install friction with a single runtime dependency (requests).
License · maintenance · safety
(unclear) — 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.
last release 2026-02-16 (179 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 103,344 downloads/mo, #12,812 on PyPI
Alternatives
Verify before relying
pip install dbt-copilot-python
from dbt_copilot_python.network import setup_allowed_hosts
ALLOWED_HOSTS = setup_allowed_hosts([])- 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
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 on this page. Verify before relying on it.
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
dbt-copilot-python on PyPI
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.
Requires Python 3.9 or later. Optional Celery and ddtrace dependencies for additional features.
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([])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 the current Python release <4.0,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagerequests |
| Maintenance | Actively maintained 179 days since the last release |
| First released | |
| Downloads | 103,344 / month, #12,812 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9 |
Evidence: dbt_copilot_python-2.1.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “django flask aws ecs copilot”
- dbt-copilot-pythonProvides utility functions for running Django and Flask applications…
- serverless-wsgiBridges Python WSGI applications (Flask, Django, Pyramid) to AWS…
- opensearch-loggerProvides a Python logging handler that sends log records directly to…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also ecs-deploy · django-heroku · django-health-check · dj-database-url · tenant-schemas-celery · prefect-aws · django-ebhealthcheck · py-healthcheck · awsgi2 · evergreen.py