Giter Site home page Giter Site logo

mjml-python's Introduction

mjml-python

This is an unofficial Python port of mjml v4. It is implemented in pure Python and does not require JavaScript/NodeJS. mjml is a markup language created by Mailjet and designed to reduce the pain of coding a responsive email.

Installation

pip install mjml

Usage

from mjml import mjml_to_html
with open('foo.mjml', 'rb') as mjml_fp:
    result = mjml_to_html(mjml_fp)
assert not result.errors
html: str = result.html

Alternatively you can run the code from the CLI:

$ mjml foo.mjml

Limitations

This library only implements a subset of the original MJML project. It lacks several features found in the JavaScript mjml implementation (e.g. minification, beautification and validation). Also the code likely contains many additional bugs.

The upside is that there are lot of possibilities for you to make a real difference when you improve the code :-)

Goals / Motivation

This library should track the JS version of mjml so ideally you should get the same HTML. However even under the best circumstances this library will always lag a bit behind as each change must be translated to Python manually (a mostly mechanical process).

While I like the idea behind mjml and all the knowledge about the quirks to get acceptable HTML rendering by various email clients we did not want to deploy a Node.js-based stack on our production servers. We did not feel comfortable auditing all 220 JS packages which are installed by npm install mjml (and re-doing this whenever new versions are available). Also due to data-privacy concerns we were unable to use any third-party products (i.e. MJML's API offering).

After a short spike to check the viability of a Python implementation I went ahead and wrote enough code to ensure some existing messages could be converted to mjml. Currently the library is deployed in some light production scenarios.

Another benefit of using Python is that we can integrate that in our web apps more closely. As the startup overhead of CPython is much lower than Node.js we can also generate a few mails via CLI applications without massive performance problems. CPython uses ~70ms to translate a trivial mjml template to HTML while Node.JS needs ~650ms.

Documentation

The idea is to implement the mjml XML dialect exactly like the JS implementation so eventually you should be able to use the official docs and other online resources found on mjml.io. However we are nowhere near that right now! The current code can render the "Hello World" example as well as images, tables and groups but many components remain to be reimplemented. I'd love to see your pull requests to improve the current state though.

Alternatives / Additional Resources

  • django-mjml: If deploying NodeJS is not an issue and you are using Django you could use the well established django-mjml library. That library integrates the mjml JavaScript implementation with Django templates so you can access all mjml features.
  • MJML.NET: This is an unofficial port of mjml to C# (github repo) which supports more components than this Python implementation.
  • mrml: rust implementation of mjml (github repo)
  • email-bugs is a github project which contains a lot of knowledge about rendering quirks in various email clients.
  • htmlemailcheck is a commercial offering to help you checking email rendering in various environments. I don't have any experience with their services but they provide a free knowledgebase.
  • #emailgeeks - Slack community for email marketers, designers, and developers

mjml-python's People

Contributors

felixschwarz avatar caseyjhol avatar barsch avatar buttle avatar benjipott avatar pcorpet avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.