Django-Tailwind v4.4: Now with Zero Node.js Setup via Standalone Tailwind CLI

I've just released version 4.4 of Django-Tailwind, and it comes with a major new feature: you can now use Tailwind CSS without needing Node.js.

This is made possible by another one of my packages — Pytailwindcss — which brings support for Tailwind's Standalone CLI into the Python ecosystem.

The Tailwind Standalone CLI gives you the full power of the Tailwind CLI in a single, self-contained executable — no Node.js or npm required.

New Setup Option: Tailwind v4 Standalone

Now, when you initialize a new Tailwind project using the Django-Tailwind init command:

python manage.py tailwind init

You'll see a new setup option:

Choose template:
1 - Tailwind v4 Standalone - Simple and doesn't require Node.js
2 - Tailwind v4 Full - All the bells and whistles, requires Node.js
3 - Tailwind v3 Full - Legacy template for Tailwind v3 projects, requires Node.js
Enter choice [1-3]:

When Should You Choose the Standalone Option?

Choose the Standalone option if:

• You only need basic Tailwind functionality.
• You're not using plugins or PostCSS features.
• You want the simplest possible setup — no Node.js, no npm.

It's a great choice for lightweight or minimal projects that just need Tailwind's core styling power.

Can I Use the Standalone CLI in an Existing Project?

Yes — you can use the Standalone CLI in your existing Django-Tailwind project, as long as you're not relying on any Tailwind CSS plugins (like DaisyUI).

If your current setup uses pure Tailwind, just add the following to your settings.py:

TAILWIND_USE_STANDALONE_BINARY = True
TAILWIND_STANDALONE_BINARY_VERSION = "v4.1.17"

Then install the latest binary with:

python manage.py tailwind install

After that, you can run:

python manage.py tailwind start
python manage.py tailwind dev
python manage.py tailwind build

These commands will now use the Standalone Tailwind binary instead of the Node.js-based setup.

Give Django-Tailwind v4.4 a spin and let me know how it works for you!
Check out the project on GitHub or install it from PyPI.