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  1. Stackups
  2. Application & Data
  3. Templating Languages & Extensions
  4. Templating Languages And Extensions
  5. Jsonnet vs Liquid

Jsonnet vs Liquid

OverviewDecisionsComparisonAlternatives

Overview

Liquid
Liquid
Stacks261
Followers126
Votes0
GitHub Stars11.5K
Forks1.5K
Jsonnet
Jsonnet
Stacks207
Followers37
Votes2
GitHub Stars7.4K
Forks468

Jsonnet vs Liquid: What are the differences?

Introduction

This Markdown code provides a comparison between Jsonnet and Liquid, highlighting their key differences.

  1. Data Structure Handling: Jsonnet is a data templating language that excels at transforming, calculating, and organizing data structures. It provides a rich set of operators and functions to manipulate data efficiently. On the other hand, Liquid is primarily designed for content management systems and focuses on basic data manipulation, such as filtering and iterating through collections.

  2. Language Flexibility: Jsonnet has a more flexible and expressive language syntax with support for functions, objects, arrays, and conditionals. It also allows importing external JSON or Jsonnet files for modular composition. In contrast, Liquid has a simpler syntax tailored specifically for template rendering. While it supports basic logic and filters, it lacks more advanced language constructs.

  3. System Interactions: Jsonnet supports executing system commands directly within the language, enabling interaction with the host system during template evaluation. This allows for dynamic generation of template content based on system information. On the other hand, Liquid focuses solely on rendering templates and does not provide direct system interaction capabilities.

  4. Template Inheritance and Layout: Liquid has built-in support for template inheritance and layout, allowing a modular approach to constructing web pages. Templates can be extended and overridden via "blocks," providing a convenient way to reuse and organize templates. However, Jsonnet does not natively support template inheritance and layout. It is primarily used for data processing and is usually paired with other technologies, such as configuration management tools.

  5. Community and Ecosystem: Liquid is widely used in popular content management systems like Shopify and Jekyll, which results in a larger community and a rich ecosystem of templates, themes, and plugins. Jsonnet, on the other hand, although gaining popularity in the infrastructure-as-code and configuration management domains, has a smaller community and a more focused ecosystem.

  6. Tooling and Integration: Liquid has extensive tooling and integration options tailored for content management systems. It has plugins, integrations, and specific editors that provide a seamless development experience. Jsonnet, while it has some tooling support like code editors with syntax highlighting, linters, and formatters, does not have as many specialized tools and integrations as Liquid.

In summary, Jsonnet and Liquid differ in terms of their data structure handling capabilities, language flexibility, system interaction, template inheritance and layout support, community and ecosystem size, as well as tooling and integration options.

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Advice on Liquid, Jsonnet

Asad
Asad

Software Engineer at Lisec Automation

Jun 15, 2020

Needs adviceon.NET.NETHandlebars.jsHandlebars.js

@All: I am searching for the best template engine for .NET. I started looking into several template engines, including the Dotliquid, Handlebars.js, Scriban, and Razorlight. I found handlebar a bit difficult to use when using the loops and condition because you need to register for helper first. DotLiquid and Scriban were easy to use and in Razorlight I did not find the example for loops.

Can you please suggest which template engine is best suited for the use of conditional/list and looping and why? Or if anybody could provide me a resource or link where I can compare which is best?

Thanks In Advance

240k views240k
Comments

Detailed Comparison

Liquid
Liquid
Jsonnet
Jsonnet

It is an open-source template language written in Ruby. It is the backbone of Shopify themes and is used to load dynamic content on storefronts. It is safe, customer facing template language for flexible web apps.

It is a data templating language for app and tool developers. It is a powerful DSL for elegant description of JSON data.

Render templates directly from the database;Smarty (PHP) style template engines;Template engine which does HTML just as well as emails;Allow your users to edit the appearance of your application but don't want them to run insecure code on your server
Generate config data; Side-effect free; Organize, simplify, unify; Manage sprawling config
Statistics
GitHub Stars
11.5K
GitHub Stars
7.4K
GitHub Forks
1.5K
GitHub Forks
468
Stacks
261
Stacks
207
Followers
126
Followers
37
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 1
    Data templating (not string templating)
  • 1
    Side-effect free
  • 0
    Dashboard as a code
Integrations
VTEX
VTEX
Zendesk
Zendesk
Voog
Voog
Drip
Drip
Ruby
Ruby
Jekyll
Jekyll
Fedora
Fedora
Locomotive CMS
Locomotive CMS
IntelliJ IDEA
IntelliJ IDEA
Golang
Golang
C++
C++
Atom
Atom
Visual Studio Code
Visual Studio Code
Vim
Vim
CodeMirror
CodeMirror
Sublime Text
Sublime Text
Emacs
Emacs

What are some alternatives to Liquid, Jsonnet?

TypeScript

TypeScript

TypeScript is a language for application-scale JavaScript development. It's a typed superset of JavaScript that compiles to plain JavaScript.

Pug

Pug

This project was formerly known as "Jade." Pug is a high performance template engine heavily influenced by Haml and implemented with JavaScript for Node.js and browsers.

Handlebars.js

Handlebars.js

Handlebars.js is an extension to the Mustache templating language created by Chris Wanstrath. Handlebars.js and Mustache are both logicless templating languages that keep the view and the code separated like we all know they should be.

Mustache

Mustache

Mustache is a logic-less template syntax. It can be used for HTML, config files, source code - anything. It works by expanding tags in a template using values provided in a hash or object. We call it "logic-less" because there are no if statements, else clauses, or for loops. Instead there are only tags. Some tags are replaced with a value, some nothing, and others a series of values.

Slim Lang

Slim Lang

Slim is a template language whose goal is to reduce the view syntax to the essential parts without becoming cryptic. It started as an exercise to see how much could be removed from a standard html template (<, >, closing tags, etc...). As more people took an interest in Slim, the functionality grew and so did the flexibility of the syntax.

RactiveJS

RactiveJS

Ractive was originally created at theguardian.com to produce news applications. Ractive takes your Mustache templates and transforms them into a lightweight representation of the DOM – then when your data changes, it intelligently updates the real DOM.

EJS

EJS

It is a simple templating language that lets you generate HTML markup with plain JavaScript. No religiousness about how to organize things. No reinvention of iteration and control-flow. It's just plain JavaScript.

Jinja

Jinja

It is a full featured template engine for Python. It has full unicode support, an optional integrated sandboxed execution environment, widely used and BSD licensed.

Twig

Twig

It is a modern template engine for PHP. It is flexible, fast, and secure. Its syntax originates from Jinja and Django templates.

Nunjucks

Nunjucks

Rich Powerful language with block inheritance, autoescaping, macros, asynchronous control, and more. Heavily inspired by jinja2. It supports all modern browsers.

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