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Frequently Asked Questions

How does PyLock Dependency Manager differ from requirements.txt?

While requirements.txt and a lockfile generated by PyLock both serve to specify the dependencies required by a Python project, there are some key differences:

  1. Version Pinning: requirements.txt may not specify the exact versions of packages, which could lead to issues if a future version of a package breaks compatibility with your code. PyLock's lockfile specifies the exact version of each dependency that your script was tested with, ensuring consistency.

  2. Transitive Dependencies: requirements.txt typically only lists the top-level dependencies that your code imports directly. PyLock's lockfile lists not only the direct dependencies of your script, but also their dependencies, providing a full snapshot of your script's dependency tree.

  3. Dependency Checking Before Execution: PyLock checks each dependency before the script is executed, and if any are missing or have the wrong version, it alerts you and prevents the script from running.

  4. Metadata: PyLock's lockfile includes metadata for each package, such as its author, home page, and summary.

What's the current status of PyLock Dependency Manager?

As of now, PyLock Dependency Manager can generate a lockfile that lists all the dependencies of a Python script along with their metadata, and can check the availability and versions of these dependencies before running the script.

What's the roadmap for PyLock Dependency Manager?

Future plans include:

  1. Adding functionality to spin up a virtual environment on the fly with the dependencies required in the version required for the script run.
  2. Integrations with VSCode and CI/CD pipelines.
  3. Dependency scanning via services like deps.dev.

Please note that these are subject to change and will be implemented at the developer's discretion.

How can I request a feature?

You can submit a feature request, but please note that whether it gets implemented is ultimately at the discretion of the developer.

Can the name change?

Yes, the name "PyLock Dependency Manager" is temporary and could change in the future if the need arises (such as in the case of conflict with an existing tool or package.)

Will there be a Python module version of PyLock Dependency Manager?

Yes, there are plans to create a Python module version of the PyLock Dependency Manager. This will allow developers to directly integrate its functionality within their own Python scripts or applications, providing a programmatic way to manage or check dependencies as part of their code execution. This could be particularly useful for large applications that use multiple scripts, each with their own set of dependencies.