
Product
Socket Now Supports pylock.toml Files
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Bundle of Perceval backends for Puppet ecosystem.
The backends currently managed by this package support the next repositories:
You will also need some other libraries for running the tool, you can find the whole list of dependencies in pyproject.toml file.
There are several ways to install perceval-puppet on your system: packages or source code using Poetry or pip.
perceval-puppet can be installed using pip, a tool for installing Python packages. To do it, run the next command:
$ pip install perceval-puppet
To install from the source code you will need to clone the repository first:
$ git clone https://github.com/chaoss/grimoirelab-perceval-puppet
$ cd grimoirelab-perceval-puppet
Then use pip or Poetry to install the package along with its dependencies.
To install the package from local directory run the following command:
$ pip install .
In case you are a developer, you should install perceval-puppet in editable mode:
$ pip install -e .
We use poetry for dependency management and packaging. You can install it following its documentation. Once you have installed it, you can install perceval-puppet and the dependencies in a project isolated environment using:
$ poetry install
To spaw a new shell within the virtual environment use:
$ poetry shell
$ perceval puppetforge
Licensed under GNU General Public License (GPL), version 3 or later.
FAQs
Bundle of Perceval backends for Puppet, Inc. ecosystem.
We found that perceval-puppet demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 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.
Product
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
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