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Jinja2
Jinja2

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Jinja2 vs Scala: What are the differences?

What is Jinja2? Full featured template engine for Python. Jinja2 is a full featured template engine for Python. It has full unicode support, an optional integrated sandboxed execution environment, widely used and BSD licensed.

What is Scala? A pure-bred object-oriented language that runs on the JVM. Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Jinja2 belongs to "Templating Languages & Extensions" category of the tech stack, while Scala can be primarily classified under "Languages".

"It is simple to use" is the top reason why over 4 developers like Jinja2, while over 177 developers mention "Static typing" as the leading cause for choosing Scala.

Jinja2 and Scala are both open source tools. Scala with 11.8K GitHub stars and 2.73K forks on GitHub appears to be more popular than Jinja2 with 6.25K GitHub stars and 1.21K GitHub forks.

According to the StackShare community, Scala has a broader approval, being mentioned in 436 company stacks & 315 developers stacks; compared to Jinja2, which is listed in 20 company stacks and 23 developer stacks.

What is Jinja2?

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.

What is Scala?

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
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    What are some alternatives to Jinja2 and Scala?
    Django
    Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
    Flask
    Flask is intended for getting started very quickly and was developed with best intentions in mind.
    TypeScript
    TypeScript is a language for application-scale JavaScript development. It's a typed superset of JavaScript that compiles to plain JavaScript.
    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 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.
    See all alternatives
    Decisions about Jinja2 and Scala
    Marc Bollinger
    Marc Bollinger
    Infra & Data Eng Manager at Lumosity · | 4 upvotes · 53.7K views
    atLumosityLumosity
    Pulsar
    Pulsar
    Redis
    Redis
    Heron
    Heron
    Apache Storm
    Apache Storm
    Scala
    Scala
    Kafka
    Kafka
    Ruby
    Ruby
    Node.js
    Node.js

    Lumosity is home to the world's largest cognitive training database, a responsibility we take seriously. For most of the company's history, our analysis of user behavior and training data has been powered by an event stream--first a simple Node.js pub/sub app, then a heavyweight Ruby app with stronger durability. Both supported decent throughput and latency, but they lacked some major features supported by existing open-source alternatives: replaying existing messages (also lacking in most message queue-based solutions), scaling out many different readers for the same stream, the ability to leverage existing solutions for reading and writing, and possibly most importantly: the ability to hire someone externally who already had expertise.

    We ultimately migrated to Kafka in early- to mid-2016, citing both industry trends in companies we'd talked to with similar durability and throughput needs, the extremely strong documentation and community. We pored over Kyle Kingsbury's Jepsen post (https://aphyr.com/posts/293-jepsen-Kafka), as well as Jay Kreps' follow-up (http://blog.empathybox.com/post/62279088548/a-few-notes-on-kafka-and-jepsen), talked at length with Confluent folks and community members, and still wound up running parallel systems for quite a long time, but ultimately, we've been very, very happy. Understanding the internals and proper levers takes some commitment, but it's taken very little maintenance once configured. Since then, the Confluent Platform community has grown and grown; we've gone from doing most development using custom Scala consumers and producers to being 60/40 Kafka Streams/Connects.

    We originally looked into Storm / Heron , and we'd moved on from Redis pub/sub. Heron looks great, but we already had a programming model across services that was more akin to consuming a message consumers than required a topology of bolts, etc. Heron also had just come out while we were starting to migrate things, and the community momentum and direction of Kafka felt more substantial than the older Storm. If we were to start the process over again today, we might check out Pulsar , although the ecosystem is much younger.

    To find out more, read our 2017 engineering blog post about the migration!

    See more
    Alex A
    Alex A
    Founder at PRIZ Guru · | 3 upvotes · 44.1K views
    atPRIZ GuruPRIZ Guru
    Gradle
    Gradle
    Groovy
    Groovy
    Scala
    Scala
    Play
    Play
    Grails
    Grails

    Some may wonder why did we choose Grails ? Really good question :) We spent quite some time to evaluate what framework to go with and the battle was between Play Scala and Grails ( Groovy ). We have enough experience with both and, to be honest, I absolutely in love with Scala; however, the tipping point for us was the potential speed of development. Grails allows much faster development pace than Play , and as of right now this is the most important parameter. We might convert later though. Also, worth mentioning, by default Grails comes with Gradle as a build tool, so why change?

    See more
    Vadim Bakaev
    Vadim Bakaev
    Scala
    Scala
    Haskell
    Haskell

    Why I am using Haskell in my free time?

    I have 3 reasons for it. I am looking for:

    Fun.

    Improve functional programming skill.

    Improve problem-solving skill.

    Laziness and mathematical abstractions behind Haskell makes it a wonderful language.

    It is Pure functional, it helps me to write better Scala code.

    Highly expressive language gives elegant ways to solve coding puzzle.

    See more
    Interest over time
    Reviews of Jinja2 and Scala
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    How developers use Jinja2 and Scala
    Avatar of datapile
    datapile uses ScalaScala

    Scala is the God of languages. A legend. The Mount Rushmore of hybrid OO/functional languages is Scala's face four times over.

    Ok, honestly, we love Scala. We love(d) Java (and it's parents C and C++), and we love(d) all the languages that borrowed cough stole cough from Java over the years such as Groovy, Clojure, and C#.

    It may not be perfect (it totally is, but since programming languages don't have egos of their own, we don't want to paint it too bright), but it is awesome. It runs on the JVM, you can utilize Spring, it works great for data processing (which is sorta kinda the thing we do here, folks), and it just makes sense at all levels.

    If you don't like Scala, we feel sorry for the projects that are suffering due to your choices, meanwhile we are using Scala to write everything from JavaScript, CSS, SQL, and JSON directly within itself (go figure), so in the end no one will know the beauty of this powerhouse language (except for our engineers, of course).

    Avatar of Foursquare
    Foursquare uses ScalaScala

    Nearly our entire server codebase is written in Scala (if you haven't heard of it, it's a programming language that is basically what you would get if Java + ML had a baby). This has worked out super well. It enables us to write concise easy to deal with code that is typechecked at compile time. It's also been a big help with recruiting.

    Avatar of papaver
    papaver uses ScalaScala

    worked with scala for around 2 years. really enjoyed the language and getting back into the world of functional. unfortunately the community is heavily fragmented and the language itself broken and inconsistent. that with the various factions involved made it a put of for long term investment.

    Avatar of Stanislaus Madueke
    Stanislaus Madueke uses ScalaScala

    Scala, Akka and Spray (which became Akka-Http) provided the building blocks for the menu service.
    Akka's actors and finite-state machine were a natural way to model a USSD menu (a series of stateful interactions between a subscriber and the USSD gateway).

    Avatar of Giovanni Candido da Silva
    Giovanni Candido da Silva uses ScalaScala

    Replaces entirely the Java Language to build a much more expressive and powerful code on the backend, while leveraging at the same time the Java Platform Tools and Frameworks, is a mixture of old and mature with new and sexy.

    Avatar of Seungkwon Park
    Seungkwon Park uses Jinja2Jinja2

    django와 flask에서 html을 다룰때 jinja를 통해 다룹니다. 이것으로 템플릿을 나누어 header, footer를 별도로 관리하며 | 를 사용해 함수를 만들어 데이터를 수정하기도 합니다.

    특히 summernote를 이용과 해쉬태그 만들기를 하면서 jinja에 대한 이해가 높아졌습니다.

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