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Django vs Flask vs Pyramid: Choosing a Python Web Framework Table of Contents

   1 Introduction
   2 About the Frameworks
   3 Community
   4 Bootstrapping
       4.1 Flask
       4.2 Pyramid
       4.3 Django
   5 Templating
       5.1 Django
       5.2 Flask
       5.3 Pyramid
   6 Frameworks in Action
       6.1 Demo App with Flask
       6.2 Demo App with Django
       6.3 Demo App with Pyramid
   7 Summary
       7.1 Credits

Ryan Brown Ryan Brown Ryan works on Openstack Heat at Red Hat and has written Python for web, orchestration, and backend applications large and small.

FREE WORKSHOP: Django vs Flask vs PyramidRyan Brown is giving a free virtual workshop to help guide you on picking the right Python framework and answer your questions. >> Sign up to secure a spot

TL;DR: Pyramid, Django, and Flask are all excellent frameworks, and choosing just one for a project is hard. We'll see working apps with identical functionality in all three frameworks to make comparing the three easier. Skip to Frameworks in Action for the code. 1 Introduction

The world of Python web frameworks is full of choices. Django, Flask, Pyramid, Tornado, Bottle, Diesel, Pecan, Falcon, and many more are competing for developer mindshare. As a developer you want to cut the legions of options down to the one that will help you finish your project and get on to the Next Big Thing (tm). We'll focus on Flask, Pyramid, and Django. Their ideal cases span from micro-project to enterprise-size web service.

To help make the choice between the three easier (or at least more informed), we'll build the same application in each framework and compare the code, highlighting the strengths and weaknesses of each approach. If you just want the code, skip straight to Frameworks in Action or view the code on Github.

Flask is a "microframework" primarily aimed at small applications with simpler requirements. Pyramid and Django are both aimed at larger applications, but take different approaches to extensibility and flexibility. Pyramid targets flexibility and lets the developer use the right tools for their project. This means the developer can choose the database, URL structure, templating style, and more. Django aims to include all the batteries a web application will need so developers need only open the box and start working, pulling in Django's many modules as they go.

Django includes an ORM out of the box, while Pyramid and Flask leave it to the developer to choose how (or if) they want their data stored. The most popular ORM for non-Django web applications is SQLAlchemy by far, but there are plenty of other options from DynamoDB and MongoDB to simple local persistence like LevelDB or plain SQLite. Pyramid is designed to use any persistence layer, even yet-to-be-invented ones. 2 About the Frameworks

Django's "batteries included" approach makes it easy for developers who know Python already to dive in to web applications quickly without needing to make a lot of decisions about their application's infrastructure ahead of time. Django has for templating, forms, routing, authentication, basic database administration, and more built in. In contrast, Pyramid includes routing and authentication, but templating and database administration require external libraries.

The extra work up front to choose components for Flask and Pyramid apps yields more flexibility for developers whose use case doesn't fit a standard ORM, or who need to interoperate with different workflows or templating systems.

Flask, the youngest of the three frameworks, started in mid-2010. The Pyramid framework began life in the Pylons project and got the name Pyramid in late 2010, though the first release was in 2005. Django had its first release in 2006, shortly after the Pylons (eventually Pyramid) project began. Pyramid and Django are extremely mature frameworks, and have accumulated plugins and extensions to meet an incredibly large range of needs.

Though Flask has a shorter history, it has been able to learn from frameworks that have come before and has set its sights firmly on small projects. It is clearly used most often in smaller projects with just one or two functions. One such project is httpbin, a simple (but extremely powerful) helper for debugging and testing HTTP libraries. 3 Community

The prize for most active community goes to Django with 80,000 StackOverflow questions and a healthy set of blogs from developers and power users. The Flask and Pyramid communities aren't as large, but their communities are quite active on their mailing lists and on IRC. With only 5,000 StackOverflow questions tagged, Flask is 15x smaller than Django. On Github, they have a nearly identical number of stars with 11,300 for Django, and 10,900 for Flask.

All three frameworks are available under BSD-derived permissive licenses. Both Flask's and Django's licenses are 3-clause BSD, while Pyramid's Repoze Public License RPL is a derivative of the 4-clause BSD license. 4 Bootstrapping

Django and Pyramid both come with bootstrapping tools built in. Flask includes nothing of the sort because Flask's target audience isn't trying to build large MVC applications. 4.1 Flask

Flask's Hello World app has to be the simplest out there, clocking in at a puny 7 lines of code in a single Python file.

  1. from tutorial

from flask import Flask app = Flask(__name__)

@app.route("/") # take note of this decorator syntax, it's a common pattern def hello():

   return "Hello World!"

if __name__ == "__main__":

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This is why there aren't bootstrapping tools for Flask: there isn't a demand for them. From the above Hello World featured on Flask's homepage, a developer with no experience building Python web applications can get hacking immediately.

For projects that need more separation between components, Flask has blueprints. For example, you could structure your Flask app with all user-related functions in and your sales-related functions in, then import them and add them to your app in We won't go over this functionality, as it's beyond the needs of our demo app. 4.2 Pyramid

Pyramid's bootstrapping tool is called pcreate which is part of Pyramid. Previously the Paste suite of tools provided bootstrapping for but has since been replaced with a Pyramid-specific toolchain.

$ pcreate -s starter hello_pyramid # Just make a Pyramid project

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Pyramid is intended for bigger and more complex applications than Flask. Because of this, its bootstrapping tool creates a bigger skeleton project. It also throws in basic configuration files, an example template, and the files to package your application for uploading to the Python Package Index.

hello_pyramid ├── CHANGES.txt ├── development.ini ├── ├── production.ini ├── hello_pyramid │ ├── │ ├── static │ │ ├── pyramid-16x16.png │ │ ├── pyramid.png │ │ ├── theme.css │ │ └── theme.min.css │ ├── templates │ │ └── │ ├── │ └── ├── README.txt └──

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As in the rest of the framework, Pyramid's bootstrapper is incredibly flexible. It's not limited to one default application; pcreate can use any number of project templates. Included in pcreate there is the "starter" template we used above, along with SQLAlchemy- and ZODB-backed scaffold projects. On PyPi it's possible to find ready-made scaffolds for Google App Engine, jQuery Mobile, Jinja2 templating, modern frontend frameworks, and many more. 4.3 Django

Django also has its own bootstrapping tool built in as a part of django-admin.

django-admin startproject hello_django django-admin startapp howdy # make an application within our project

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We can already see one of the ways Django differs from Pyramid. Django separates a project into individual applications, where Pyramid and Flask expect a project to be a single "application" with several views or models. It's possible to replicate the project/app distinction in Flask and Pyramid, but the notion does not exist by default.

hello_django ├── hello_django │ ├── │ ├── │ ├── │ └── ├── howdy │ ├── │ ├── │ ├── migrations │ │ └── │ ├── │ ├── │ └── └──

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By default Django only includes empty model and template files, so a new user sees a bit less example code to start out. It also (unfortunately) leaves the choice of how to distribute their application to the developer.

The downside of the bootstrap tool not guiding users to package their apps is that novice users won't. If a developer hasn't packaged an app before, they'll find themselves rudely surprised upon their first deploy. Projects with a large community like django-oscar are packaged and available on PyPi, but smaller projects on Github often to lack uniform packaging. 5 Templating

Just having a Python application that can respond to HTTP requests is a great start, but it's a good bet that most of your users won't be interested in using curl to interact with your web app. Fortunately, all three contenders provide an easy way to fill in HTML with custom info, and let folks enjoy your swanky Bootstrap frontend.

Templating lets you inject dynamic information directly into your page without using making AJAX requests. This is nice from a user experience perspective since you only need to make one round-trip to get the full page and all its dynamic data. This is especially important on mobile sites where round trips can take multiple seconds.

All the templating options we'll see rely on a "context" that provides the dynamic information for the template to render into HTML. The simplest use case for a template would be to populate a logged-in user's name to greet them properly. It would be possible to use AJAX to get this sort of dynamic information, but requiring a whole call just to fill in a user's name would be a bit excessive when templates are this easy. 5.1 Django

Our example use case is about as easy as it gets, assuming that we have a user object that has a fullname property containing a user's name. In Python we'd pass the current user to the template like so:

def a_view(request):

   # get the logged in user
   # ... do more things
   return render_to_response(
       {"user": cur_user}

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Populating the template context is as simple as passing a dictionary of the Python objects and data structures the template should use. Now we need to render their name to the page, just in case they forget who they are.

 {% if user %}
   You are logged in as Template:User.fullname
 {% endif %}

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First, you'll notice the {% if user %} construct. In Django templates {% is used for control statements like loops and conditionals. The if user statement is there to guard against cases where there is not a user. Anonymous users shouldn't see "you are logged in as" in the site header.

Inside the if block, you can see that including the name is as simple as wrapping the property we want to insert in {{ }}. The {{ is used to insert actual values into the template, such as Template:User.fullname.

Another common use for templates is displaying groups of things, like the inventory page for an ecommerce site.

def browse_shop(request):

   # get items
   return render_to_response(
       {"inventory": all_items}

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In the template we can use the same {% to loop over all the items in the inventory, and to fill in the URL to their individual page.

{% for widget in inventory %}

  • <a href="/widget/Template:Widget.slug/">Template:Widget.displayname</a></li> {% endfor %} Like learning from posts like this? Subscribe for more! To do most common templating tasks, Django can accomplish the goal with just a few constructs, making it easy to get started. 5.2 Flask Flask uses the Django-inspired Jinja2 templating language by default but can be configured to use another language. A programmer in a hurry couldn't be blamed for mixing up Django and Jinja templates. In fact, both the Django examples above work in Jinja2. Instead of going over the same examples, let's look at the places that Jinja2 is more expressive than Django templating. Both Jinja and Django templates provide a feature called filtering, where a list can be passed through a function before being displayed. A blog that features post categories might make use of filters to display a post's categories in a comma-separated list.

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    In Jinja's templating language it's possible to pass any number of arguments to a filter because Jinja treats it like a call to a Python function, with parenthesis surrounding the arguments. Django uses a colon as a separator between the filter name and the filter argument, which limits the number of arguments to just one.

    Jinja and Django for loops are also similar. Let's see where they differ. In Jinja2, the for-else-endfor construct lets you iterate over a list, but also handle the case where there are no items.

    {% for item in inventory %}

    {% else %}

    [edit] No items found

    Try another search, maybe?

    {% endfor %}

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    The Django version of this functionality is identical, but uses for-empty-endfor instead of for-else-endfor.

    {% for item in inventory %}

    {% empty %}

    [edit] No items found

    Try another search, maybe?

    {% endfor %}

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    Other than the syntactic differences above, Jinja2 provides more control over its execution environment and advanced features. For example, it's possible to disable potentially dangerous features to safely execute untrusted templates, or to compile templates ahead of time to ensure their validity. 5.3 Pyramid

    Like Flask, Pyramid supports many templating languages (including Jinja2 and Mako) but ships with one by default. Pyramid uses Chameleon, an implementation of ZPT (the Zope Page Template) templating language. Let's look back at our first example, adding a user's name to the top bar of our site. The Python code looks much the same except that we don't need to explicitly call a render_template function.

    @view_config(renderer='templates/') def my_view(request):

       # do stuff...
       return {'user': user}

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    But our template looks pretty different. ZPT is an XML-based templating standard, so we use XSLT-like statements to manipulate data.

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    Chameleon actually has three different namespaces for template actions. TAL (template attribute language) provides basics like conditionals, basic string formatting, and filling in tag contents. The above example only made use of TAL to complete its work. For more advanced tasks, TALES and METAL are required. TALES (Template Attribute Language Expression Syntax) provides expressions like advanced string formatting, evaluation of Python expressions, and importing expressions and templates.

    METAL (Macro Expansion Template Attribute Language) is the most powerful (and complex) part of Chameleon templating. Macros are extensible, and can be defined as having slots that are filled when the macro is invoked. 6 Frameworks in Action

    For each framework let's take a look at making an app called wut4lunch, a social network to tell the whole internet what you ate for lunch. Free startup idea right there, totally a gamechanger. The application will be a simple interface that allows users to post what they had for lunch and to see a list of what other users ate. The home page will look like this when we're done.

    6.1 Demo App with Flask

    The shortest implementation clocks in at 34 lines of Python and a single 22 line Jinja template. First we have some housekeeping tasks to do, like initializing our app and pulling in our ORM.

    from flask import Flask

    1. For this example we'll use SQLAlchemy, a popular ORM that supports a
    2. variety of backends including SQLite, MySQL, and PostgreSQL

    from flask.ext.sqlalchemy import SQLAlchemy

    app = Flask(__name__)

    1. We'll just use SQLite here so we don't need an external database

    app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///test.db'

    db = SQLAlchemy(app)

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    Now let's take a look at our model, which will remain almost the same for our other two examples as well.

    class Lunch(db.Model):

       """A single lunch"""
       id = db.Column(db.Integer, primary_key=True)
       submitter = db.Column(db.String(63))
       food = db.Column(db.String(255))

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    Wow, that's pretty easy. The hardest part was finding the right SQLAlchemy data types and picking a length for our String fields in the database. Using our models is also extremely simple, thanks to the SQLAlchemy query syntax we'll see later.

    Building our submission form is just as easy. After importing Flask-WTForms and the correct field types, you can see the form looks quite a bit like our model. The main difference is the new submit button and prompts for the food and submitter name fields.

    The SECRET_KEY field in the app config is used by WTForms to create CSRF tokens. It is also used by itsdangerous (included in Flask) to sign cookies and other data.

    from import Form from wtforms.fields import StringField, SubmitField

    app.config['SECRET_KEY'] = 'please, tell nobody'

    class LunchForm(Form):

       submitter = StringField(u'Hi, my name is')
       food = StringField(u'and I ate')
       # submit button will read "share my lunch!"
       submit = SubmitField(u'share my lunch!')

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    Making the form show up in the browser means the template has to have it. We'll pass that in below.

    from flask import render_template

    @app.route("/") def root():

       lunches = Lunch.query.all()
       form = LunchForm()
       return render_template('index.html', form=form, lunches=lunches)

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    Alright, what just happened? We got a list of all the lunches that have already been posted with Lunch.query.all(), and instantiated a form to let the user post their own gastronomic adventure. For simplicity, the variables are passed into the template with the same name, but this isn't required.

    <html> <title>Wut 4 Lunch</title> What are people eating?

    Wut4Lunch is the latest social network where you can tell all your friends about your noontime repast!

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    Here's the real meat of the template, where we loop through all the lunches that have been eaten and display them in a
      . This almost identical to the looping example we saw earlier.

      What are YOU eating?

      <form method="POST" action="/new">

         Template:Form.hidden tag()
         Template:Form.submitter.label Template:Form.submitter(size=40)

      </form> </html>

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      The <form> section of the template just renders the form labels and inputs from the WTForm object we passed into the template in the root() view. When the form is submitted, it'll send a POST request to the /new endpoint which will be processed by the function below.

      from flask import url_for, redirect

      @app.route(u'/new', methods=[u'POST']) def newlunch():

         form = LunchForm()
         if form.validate_on_submit():
             lunch = Lunch()
         return redirect(url_for('root'))

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      After validating the form data, we put the contents into one of our Model objects and commit it to the database. Once we've stored the lunch in the database it'll show up in the list of lunches people have eaten.

      if __name__ == "__main__":

         db.create_all()  # make our sqlalchemy tables

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      Finally, we have to do a (very) little bit of work to actually run our app. Using SQLAlchemy we create the table we use to store lunches, then start running the route handlers we wrote. 6.2 Demo App with Django

      The Django version of wut4lunch is similar to the Flask version, but is spread across several files in the Django project. First, let's look at the most similar portion: the database model. The only difference between this and the SQLAlchemy version is the slightly different syntax for declaring a database field that holds text.

      1. from wut4lunch/

      from django.db import models

      class Lunch(models.Model):

         submitter = models.CharField(max_length=63)
         food = models.CharField(max_length=255)

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      On to the form system. Unlike Flask, Django has a built-in form system that we can use. It looks much like the WTForms module we used in Flask with different syntax.

      from django import forms from django.http import HttpResponse from django.shortcuts import render, redirect

      from .models import Lunch

      1. Create your views here.

      class LunchForm(forms.Form):

         """Form object. Looks a lot like the WTForms Flask example"""
         submitter = forms.CharField(label='Your name')
         food = forms.CharField(label='What did you eat?')

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      Now we just need to make an instance of LunchForm to pass in to our template.

      lunch_form = LunchForm(auto_id=False)

      def index(request):

         lunches = Lunch.objects.all()
         return render(
                 'lunches': lunches,
                 'form': lunch_form,

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      The render function is a Django shortcut that takes the request, the template path, and a context dict. Similar to Flask's render_template, but it also takes the incoming request.

      def newlunch(request):

         l = Lunch()
         l.submitter = request.POST['submitter'] = request.POST['food']
         return redirect('home')

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      Saving the form response to the database is different, instead of using a global database session Django lets us call the model's .save() method and handles session management transparently. Neat!

      Django provides some nice features for us to manage the lunches that users have submitted, so we can delete lunches that aren't appropriate for our site. Flask and Pyramid don't provide this automatically, and not having to write Yet Another Admin Page when making a Django app is certainly a feature. Developer time isn't free! All we had to do to tell Django-admin about our models is add two lines to wut4lunch/

      from wut4lunch.models import Lunch

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      Bam. And now we can add and delete entries without doing any extra work.

      Lastly, let's take a look at the differences in the homepage template.

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      Django has a handy shortcut for referencing other views in your pages. The url tag makes it possible for you to restructure the URLs your application serves without breaking your views. This works because the url tag looks up the URL of the view mentioned on the fly.

      <form action="{% url 'newlunch' %}" method="post">

       {% csrf_token %} ul
       <input type="submit" value="I ate this!" />


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      The form is rendered with different syntax, and we need to include a CSRF token manually in the form body, but these differences are mostly cosmetic. 6.3 Demo App with Pyramid

      Finally, let's take a look at the same program in Pyramid. The biggest difference from Django and Flask here is the templating. Changing the Jinja2 template very slightly was enough to solve our problem in Django. Not so this time, Pyramid's Chameleon template syntax is more reminiscent of XSLT than anything else.

       Nobody has eaten lunch, you must all be starving!

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      Like in Django templates, a lack of the for-else-endfor construct makes the logic slightly more verbose. In this case, we end up with if-for and if-not-for blocks to provide the same functionality. Templates that use XHTML tags may seem foreign after using Django- and AngularJS-style templates that use {{ or {% for control structures and conditionals.

      One of the big upsides to the Chameleon templating style is that your editor of choice will highlight the syntax correctly, since the templates are valid XHTML. For Django and Flask templates your editor needs to have support for those templating languages to highlight correctly.

      What are YOU eating?

      <form method="POST" action="/newlunch">

       Name: ${form.text("submitter", size=40)}
      What did you eat? ${form.text("food", size=40)}
      <input type="submit" value="I ate this!" />

      </form> </html>

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      The form rendering is slightly more verbose in Pyramid because the pyramid_simpleform doesn't have an equivalent to Django forms' form.as_ul function, which renders all the form fields automatically.

      Now let's see what backs the application. First, we'll define the form we need and render our homepage.

      1. pyramid_wut4lunch/

      class LunchSchema(Schema):

         submitter = validators.UnicodeString()
         food = validators.UnicodeString()



      def home(request):

         lunches = DBSession.query(Lunch).all()
         form = Form(request, schema=LunchSchema())
         return {'lunches': lunches, 'form': FormRenderer(form)}

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      The query syntax to retrieve all the lunches is familiar from Flask because both demo applications use the popular SQLAlchemy ORM to provide persistent storage. In Pyramid lets you return your template's context dictionary directly instead of needing to call a special render function. The @view_config decorator automatically passes the returned context to the template to be rendered. Being able to skip calling the render method makes functions written for Pyramid views easier to test, since the data they return isn't obscured in a template renderer object.



      def newlunch(request):

         l = Lunch(
             submitter=request.POST.get('submitter', 'nobody'),
             food=request.POST.get('food', 'nothing'),
         with transaction.manager:
         raise exc.HTTPSeeOther('/')

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      Form data is easy to retrieve from Pyramid's request object, which automatically parsed the form POST data into a dict that we can access. To prevent multiple concurrent requests from all accessing the database at the same time, the ZopeTransactions module provides context managers for grouping database writes into logical transactions and prevent threads of your application from stomping on each others' changes, which can be a problem if your views share a global session and your app receives a lot of traffic. 7 Summary

      Pyramid is the most flexible of the three. It can be used for small apps as we've seen here, but it also powers big-name sites like Dropbox. Open Source communities like Fedora choose it for applications like their community badges system, which receives information about events from many of the project's tools to award achievement-style badges to users. One of the most common complaints about Pyramid is that it presents so many options it can be intimidating to start a new project.

      By far the most popular framework is Django, and the list of sites that use it is impressive. Bitbucket, Pinterest, Instagram, and The Onion use Django for all or part of their sites. For sites that have common requirements, Django chooses very sane defaults and because of this it has become a popular choice for mid- to large-sized web applications.

      Flask is great for developers working on small projects that need a fast way to make a simple, Python-powered web site. It powers loads of small one-off tools, or simple web interfaces built over existing APIs. Backend projects that need a simple web interface that is fast to develop and will require little configuration often benefit from Flask on the frontend, like jitviewer which provides a web interface for inspecting PyPy just-in-time compiler logs.

      All three frameworks came up with a solution to our small list of requirements, and we've been able to see where they differ. Those differences aren't just cosmetic, and they will change how you design your product and how fast you ship new features and fixes. Since our example was small, we've seen where Flask shines and how Django can feel clunky on a small scale. Pyramid's flexibility didn't become a factor because our requirements stayed the same, but in the real world new requirements are thrown in constantly. 7.1 Credits

      Logos in the title image are from the Flask Django and Pyramid project web sites.

      This article owes many thanks to its reviewers, Remy DeCausemaker, Ross Delinger, and Liam Middlebrook, for tolerating many early drafts.

      In its current form this article incorporates comments and corrections from Adam Chainz, bendwarn, Sergei Maertens, Tom Leo, and wichert. (alphabetical order)

      [edit] Referensi

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