Skip to main content

Mustache templating language renderer

Project description

PyPI version Build Status Coverage Status

A python implementation of the mustache templating language.

Why chevron?

I’m glad you asked!

chevron is fast

Chevron runs in less than half the time of pystache (Which is not even up to date on the spec). And in about 70% the time of Stache (A ‘trimmed’ version of mustache, also not spec compliant).

chevron is pep8

The flake8 command is run by travis to ensure consistency.

chevron is spec compliant

Chevron passes all the unittests provided by the spec (in every version listed below).

If you find a test that chevron does not pass, please report it.

chevron is Python 2 and 3 compatible

Python 2.6, 2.7, 3.2, 3.3, 3.4, 3.5, and 3.6 are all tested by travis.

USAGE

Commandline usage: (if installed via pypi)

usage: chevron [-h] [-v] [-d DATA] [-p PARTIALS_PATH] [-e PARTIALS_EXT]
               [-l DEF_LDEL] [-r DEF_RDEL]
               template

positional arguments:
  template              The mustache file

optional arguments:
  -h, --help            show this help message and exit
  -v, --version         show program's version number and exit
  -d DATA, --data DATA  The json data file
  -p PARTIALS_PATH, --path PARTIALS_PATH
                        The directory where your partials reside
  -e PARTIALS_EXT, --ext PARTIALS_EXT
                        The extension for your mustache partials, 'mustache'
                        by default
  -l DEF_LDEL, --left-delimiter DEF_LDEL
                        The default left delimiter, "{{" by default.
  -r DEF_RDEL, --right-delimiter DEF_RDEL
                        The default right delimiter, "}}" by default.

Python usage with strings

import chevron

chevron.render('Hello, {{ mustache }}!', {'mustache': 'World'})

Python usage with file

import chevron

with open('file.mustache', 'r') as f:
    chevron.render(f, {'mustache': 'World'})

Python usage with unpacking

import chevron

args = {
  template: 'Hello, {{ mustache }}!',

  data: {
    'mustache': 'World'
  }
}

chevron.render(**args)

chevron supports partials (via dictionaries)

import chevron

args = {
    template: 'Hello, {{> thing }}!',

    partials_dict: {
        'thing': 'World'
    }
}

chevron.render(**args)

chevron supports partials (via the filesystem)

import chevron

args = {
    template: 'Hello, {{> thing }}!',

    # defaults to .
    partials_path: 'partials/',

    # defaults to mustache
    partials_ext: 'ms',
}

# ./partials/thing.ms will be read and rendered
chevron.render(**args)

INSTALL

  • with git

$ git clone https://github.com/noahmorrison/chevron.git

or using submodules

$ git submodules add https://github.com/noahmorrison/chevron.git

Also available on pypi!

  • with pip

$ pip install chevron

TODO

  • get popular

  • have people complain

  • fix those complaints

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

chevron-0.12.1.tar.gz (8.3 kB view details)

Uploaded Source

Built Distribution

chevron-0.12.1-py3-none-any.whl (8.1 kB view details)

Uploaded Python 3

File details

Details for the file chevron-0.12.1.tar.gz.

File metadata

  • Download URL: chevron-0.12.1.tar.gz
  • Upload date:
  • Size: 8.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for chevron-0.12.1.tar.gz
Algorithm Hash digest
SHA256 ce71efbdb090399d2f09c0a4ba99d90bf3a976e580fe593b73d791d0fa672f9c
MD5 bba40a2dc88c24a9d130e23c0347c3d3
BLAKE2b-256 9171be48be86ce04d3a4df91c9517aa93c524b1d6824980bd783415ffbe558f3

See more details on using hashes here.

File details

Details for the file chevron-0.12.1-py3-none-any.whl.

File metadata

File hashes

Hashes for chevron-0.12.1-py3-none-any.whl
Algorithm Hash digest
SHA256 75d377c9a0ef6010d676044586b17348f27681d51ccf2410901f1d3f71115f2d
MD5 23e52511fd50eba56828cd3e69144ed4
BLAKE2b-256 4d42c9d25827b8c07809d2318d6e704999e3e3c358d37ffa6584dbd44e82f961

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page