ecs-deploy
Powerful CLI tool to simplify Amazon ECS deployments, rollbacks & scaling
Decision gist · record as of 2026-08-14
Yes. ecs-deploy is a solid fit if you deploy to Amazon ECS regularly and want to avoid repetitive AWS API calls or console navigation. It has low install friction, active maintenance, no security vulnerabilities, a permissive license, and a straightforward CLI interface. The main prerequisite is proper AWS IAM configuration, which is documented. Use it if your team already manages AWS credentials and wants faster, scriptable deployments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires AWS credentials configured (via aws configure, environment variables, or CLI flags) and appropriate IAM permissions for ECS actions (ecs:UpdateService, ecs:RegisterTaskDefinition, etc.).
- Low install friction with a pure-Python wheel distribution.
- Actively maintained with a recent release; last commit was 2026-08-10 and the project has 905 GitHub stars, indicating stable ongoing support.
License · maintenance · safety
BSD-3-Clause (permissive) — Licensed under BSD-3-Clause (permissive), so you can use, modify, and distribute the package freely in both open-source and commercial contexts without significant legal constraints.
last release 2026-06-08 (67 days) · last repo commit 2026-08-10 · 905 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 124,882 downloads/mo, #11,849 on PyPI
Alternatives
Verify before relying
pip install ecs-deploy
ecs deploy my-cluster my-service --tag 1.2.3- Whether the package works with Python versions older than 3.10 (classifiers list 3.10+, but requires_python is unspecified).
- Whether New Relic monitoring integration requires additional setup or API keys beyond standard ecs-deploy configuration.
What it is and what it does
ecs-deploy wraps the AWS ECS API into a command-line interface that handles the repetitive and error-prone parts of container deployments on Amazon ECS. It lets you redeploy services with new image tags, scale task counts up or down, update environment variables across containers, run one-off tasks, and manage scheduled tasks—all without writing boto3 code or navigating the AWS console. The tool builds on boto3 and click, so it integrates naturally with AWS credential management and shell scripting.
You point it at a cluster and service name, optionally specify new image tags or environment variables, and it creates a new task definition revision and updates the service in one command. It can also monitor deployments in New Relic if configured. The package is actively maintained, has no known vulnerabilities, and supports modern Python versions (3.10+).
Use it for
- Deploy a new application version to ECS by updating image tags across all or specific containers in a task definition.
- Scale a service up or down by adjusting the desired task count without manually editing the AWS console.
- Redeploy the current task definition to pull fresh image digests without code changes.
- Update environment variables or docker labels in running services without rewriting task definitions by hand.
- Run one-off administrative or batch tasks from the CLI using an existing task definition as a template.
- Automate scheduled task (cron) updates by modifying both the task definition and the EventBridge rule in a single command.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
ecs-deploy is a solid fit if you deploy to Amazon ECS regularly and want to avoid repetitive AWS API calls or console navigation. It has low install friction, active maintenance, no security vulnerabilities, a permissive license, and a straightforward CLI interface. The main prerequisite is proper AWS IAM configuration, which is documented. Use it if your team already manages AWS credentials and wants faster, scriptable deployments.
Install
ecs-deploy on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with a recent release; last commit was 2026-08-10 and the project has 905 GitHub stars, indicating stable ongoing support.
Requires AWS credentials configured (via aws configure, environment variables, or CLI flags) and appropriate IAM permissions for ECS actions (ecs:UpdateService, ecs:RegisterTaskDefinition, etc.).
License in practice
Licensed under BSD-3-Clause (permissive), so you can use, modify, and distribute the package freely in both open-source and commercial contexts without significant legal constraints.
Quickstart
pip install ecs-deploy
ecs deploy my-cluster my-service --tag 1.2.3Verify before relying
- Whether the package works with Python versions older than 3.10 (classifiers list 3.10+, but requires_python is unspecified).
- Whether New Relic monitoring integration requires additional setup or API keys beyond standard ecs-deploy configuration.
Package facts
| License | BSD-3-Clause permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesclickclick-logbotocoreboto3requestsdictdiffer |
| Maintenance | Actively maintained 67 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 124,882 / month, #11,849 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Environment :: ConsoleIntended Audience :: DevelopersOperating System :: MacOSOperating System :: POSIXOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: ecs_deploy-1.16.3-py2.py3-none-any.whl
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See also aws-cdk.aws-ecs · dbt-copilot-python · kappa · cdk-ecr-deployment · aws-cdk.aws-applicationautoscaling · docker-compose · aws-cdk.aws-ecr · chalice · prefect-aws · pulumi-awsx