
Research
PyPI Package Disguised as Instagram Growth Tool Harvests User Credentials
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
Docker Compose is a tool for running multi-container applications on Docker
defined using the Compose file format.
A Compose file is used to define how the one or more containers that make up
your application are configured.
Once you have a Compose file, you can create and start your application with a
single command: docker-compose up
.
Compose files can be used to deploy applications locally, or to the cloud on Amazon ECS or Microsoft ACI using the Docker CLI. You can read more about how to do this:
Docker Compose is included in Docker Desktop for Windows and macOS.
You can download Docker Compose binaries from the release page on this repository.
If your platform is not supported, you can download Docker Compose using pip
:
pip install docker-compose
Note: Docker Compose requires Python 3.6 or later.
Using Docker Compose is basically a three-step process:
Dockerfile
so it can be
reproduced anywhere.docker-compose.yml
so
they can be run together in an isolated environment.docker-compose up
and Compose will start and run your entire
app.A Compose file looks like this:
services:
web:
build: .
ports:
- "5000:5000"
volumes:
- .:/code
redis:
image: redis
You can find examples of Compose applications in our Awesome Compose repository.
For more information about the Compose format, see the Compose file reference.
Want to help develop Docker Compose? Check out our contributing documentation.
If you find an issue, please report it on the issue tracker.
Releases are built by maintainers, following an outline of the release process.
FAQs
Multi-container orchestration for Docker
We found that docker-compose demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 8 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
Product
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Security News
Research
Socket uncovered two npm packages that register hidden HTTP endpoints to delete all files on command.