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Poly/ML VS Django

Compare Poly/ML VS Django and see what are their differences

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Poly/ML logo Poly/ML

The Poly/ML implementation of Standard ML – full multiprocessor support in the thread library and garbage collector, interactive debugger, fast compiler.

Django logo Django

The Web framework for perfectionists with deadlines
  • Poly/ML Landing page
    Landing page //
    2022-06-07
  • Django Landing page
    Landing page //
    2018-09-30

Poly/ML features and specs

  • Performance
    Poly/ML is known for its efficient compilation and execution, offering a robust performance that is comparable to other major ML implementations.
  • Compatibility
    Poly/ML conforms to the Standard ML language specification, ensuring compatibility with established codebases and standards.
  • Interactive Environment
    It provides a rich interactive environment which is suitable for development and debugging, making it easier to test snippets of code quickly.
  • Garbage Collector
    Equipped with an efficient garbage collector, Poly/ML manages memory well, contributing to the smooth running of applications.
  • Multi-platform Support
    Poly/ML runs on numerous platforms, including Windows, macOS, and Linux, providing versatility in deployment.

Possible disadvantages of Poly/ML

  • Limited Libraries
    The number of third-party libraries available for Poly/ML is relatively limited compared to other programming languages, potentially requiring more custom development effort.
  • Community Size
    Poly/ML has a smaller community compared to more popular languages like Python or Java, which might affect the availability of community support and resources.
  • Learning Curve
    As with any language that adheres closely to theoretical foundations, there can be a steeper learning curve for new users not familiar with functional programming paradigms.
  • Niche Use Case
    Being a unique language, it is primarily used in academia and specific industrial applications, which may not align with all commercial software development projects.

Django features and specs

  • Rapid Development
    Django allows developers to swiftly create web applications with its 'batteries-included' philosophy, providing built-in features and tools out-of-the-box.
  • Scalability
    Django is designed to help developers scale applications. It supports a pluggable architecture, making it easy to grow an application organically.
  • Security
    Django includes various security features like protection against SQL injection, cross-site scripting, cross-site request forgery, and more, promoting the creation of secure web applications.
  • ORM (Object-Relational Mapping)
    Django’s powerful ORM simplifies database manipulation by allowing developers to interact with the database using Python code instead of SQL queries.
  • Comprehensive Documentation
    Django offers detailed and extensive documentation, aiding developers in effectively understanding and utilizing its features.
  • Community Support
    With a large and active community, Django benefits from numerous third-party packages, plugins, and extensive support forums.

Possible disadvantages of Django

  • Steep Learning Curve
    For beginners, Django’s complex features and components can be challenging to grasp, leading to a steep learning curve.
  • Monolithic Framework
    Django’s monolithic structure can limit flexibility, potentially resulting in over-engineered solutions for simpler, smaller projects.
  • Template Language Limitations
    Django’s template language, while useful, is less powerful compared to alternatives like Jinja2, limiting functionality in complex frontend requirements.
  • Heavyweight
    Django's comprehensive feature set can result in high overhead, making it less ideal for lightweight applications or microservices.
  • Opinionated Framework
    Django follows a ‘Django way’ of doing things, which can be restrictive for developers who prefer less constrained, highly customized coding practices.
  • Lack of Asynchronicity
    Django’s built-in functionalities do not fully support asynchronous programming, which can be a limitation for handling real-time applications and processes requiring concurrency.

Poly/ML videos

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Django videos

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Python Django

Category Popularity

0-100% (relative to Poly/ML and Django)

Poly/ML

Django

OOP
100 100%
OOP
0% 0
Web Frameworks
0 0%
Web Frameworks
100% 100
Programming Language
100 100%
Programming Language
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Poly/ML and Django

Poly/ML Reviews

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Django Reviews

The 20 Best Laravel Alternatives for Web Development
The first of these Laravel alternatives is Django. Django’s like that one-stop shop where you grab everything you need for a full-blown web project, all off one shelf. It’s the big-brained Python framework that anticipates your moves, keeping you steps ahead with a crazy stack of built-in features.
Source: tms-outsource.com
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
25 Python Frameworks to Master
You won’t go wrong by choosing Django for your next web project. It’s a powerful web framework that provides everything you need to build fast and reliable websites. And if you need any additional features — say, the ability to create a REST API to use with modern frontend frameworks like React or Angular — you can use extensions like Django REST framework.
Source: kinsta.com
3 Web Frameworks to Use With Python
myproject/ is the directory that contains the configuration and settings for the Django project__init__.py is an empty script that tells Python that this directory should be treated as a Python packageasgi.py is a script that defines ASGI application (Asynchronous Server Gateway Interface) for serving this project. ASGI is a specification for building asynchronous web...
Source: www.stratascratch.com
Top 10 Phoenix Framework Alternatives
Phoenix borrows heavily from other frameworks built on the Model-View-Controller (MVC) architecture, like Rails and Django, providing a large part of everything you need to develop a web app out of the box, albeit in a less “batteries included” manner.
Source: blog.back4app.com

Social recommendations and mentions

Based on our record, Django should be more popular than Poly/ML. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Poly/ML mentions (2)

  • Simple JSON parser in c++, rust, ocaml, standard ml
    Once I got the parser ready in OCaml, I thought I port it to Standard ML, since it belong to the same ML language family. I was also curious on how well mlton could optimise it. The language lacks custom let bindings, so I resorted to use Result.bind manually. This makes code much less readable and more verbose. The standard library also lacks result type, so I had to come up with my own simple implementation.... - Source: dev.to / over 2 years ago
  • The New OCaml Website
    > I hope something similar comes to common lisp. When you say "something similar", what are you thinking about? Simply this rather professional presentation, or something social, or something technical? Or the fact of a renaissance? Is this sort of revamp a cause or a symptom of a renaissance? For Common Lisp it's always seemed to me that SBCL (disclaimer: never used it, only read about it) is the "modern" option... - Source: Hacker News / about 3 years ago

Django mentions (15)

  • Emails Setup in Django Using AWS
    Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / 10 months ago
  • Top 10 Backend Frameworks in 2022
    Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / over 2 years ago
  • Boss wants me to make a student management system
    This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so I’d recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 3 years ago
  • What's django equivalent to ruby gems? Django beginner here
    The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: almost 3 years ago
  • What's django equivalent to ruby gems? Django beginner here
    Im teaching myself to build a backend SaaS. Can you build it just as fast as with RoR and gems? Is it all on the documentation on djangoproject.com? Just learning how to use it atm, any good tutorials as well? Source: almost 3 years ago
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What are some alternatives?

When comparing Poly/ML and Django, you can also consider the following products

MLton - MLton is an open-source, whole-program, optimizing Standard ML compiler

Laravel - A PHP Framework For Web Artisans

OCaml - (* Binary tree with leaves carrying an integer.

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

Guile - Guile is the GNU Ubiquitous Intelligent Language for Extensions, the official extension language for the GNU operating system.

Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

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