Interesting Python Frameworks You Should Know

“Interesting Python Frameworks”-Python is scripting, translated, and an elevated level programming language. It is effortless to code in Python, and it has novel punctuation, which makes it not the same as other programming dialects.

To manufacture any Python application, you should require a system or a stage to code. Python web systems assume a significant job in web application advancement. These systems give a characterized structure to engineers while planning and composing a center rationale to focus on the rationale instead of different components in programming.

Here are some interesting and famous Python frameworks.

1- Flask

Interesting Python Frameworks: flask

This Interesting Python Framework is available under the BSD license, and it is the most suitable framework for building small projects compared to Django. Flask is mainly designed for Python, which is based on Jinja2 and Werkzeug. Moreover, this framework is compatible with the Google app engine.

Key Features :

  • Firstly, Built-in debugger and development server
  • Lightweight framework
  • Full support for unit testing
  • Enhanced REST support
  • Jinja2 templating
  • A minimal and pluggable architecture.
  • Statistical file serving
  • Handling HTTP requests
  • Availability of flexible application structure to store files.
  • Improved support for cookies in order to establish client-side sessions.

2- Django

Django is a very Interesting Python Framework and a free, open-source full-stack Python framework. It tries to include all of the necessary features by default instead of offering them as separate libraries.

Moreover, Some of the outstanding features of Django are its authentication, URL routing, template engine, object-relational mapper (ORM), and database schema migrations.

Interesting Python Frameworks: Image result for django

These features make Django highly scalable, ridiculously fast, and ultimately versatile.

Django uses its ORM to map objects to database tables. The same code works with different databases and isn’t difficult to transfer from one database to another. The central databases that Django works with are PostgreSQLMySQLSQLite, and Oracle, but third-party drivers allow you to use others as well.

With Django, you can craft any web application from small-scale projects to complex websites. Thanks to its flexibility, Django is also used for crafting MVPs, allowing startups to optimize their time and budget.

Django’s user base is expected to grow, as many developers see this framework as the best choice for emerging technologies such as machine learning. In 2020, the Django community is planning to release more libraries to meet the growing demand.

Here at SteelKiwi, we use Django as our primary framework for backend development. If you’d like to see the amazing apps we’ve already developed with Django, visit our Projects page.

3- Giotto

Interesting Python Frameworks: giotto

Giotto is a python application framework. Not quite a web framework, but it does include plumbing for deploying applications through a web server. Giotto’s goal is to promote writing applications that have explicitly defined boundaries between the application’s model, view, and controller layers.

It also includes a controller module that provides a platform for users to create apps on top of the command line, web, and Internet Relay Chat (IRC).

Key Features:

  • Generic views and models
  • The automatic and in-built URL routing
  • Multiple pluggable controllers
  • Persistence of the database can be achieved using SQLAlchemy.
  • Functional CRUD patterns
  • Availability of RESTful interfaces
  • Availability of Jinja2 for HTML template

4- TurboGears

Interesting Python Frameworks: TurboGears
Turbo Gears

Turbo Gear is likewise one of the full-stack web application structures that are fundamentally intended to beat different Python web application systems’ disadvantages. TurboGears gives a compelling stage to designers to rapidly create information-driven web applications. This system is also utilized to assemble a multi-tenure behemoth or single-document application.

Key Features:

  • Multi-database transactions
  • It supports SQLAlchemy and SQLObject.
  • Uses Pylons as a web server
  • Availability of command-line tools and PasteScript templates.
  • Highly modular
  • Built-in support for database sharing.
  • MVC-style architecture

5- Web2Py (Interesting Python Frameworks)


Web 2 Py is the most utilized adaptable and open-source python system, which enables clients to create web applications productively and rapidly. Web2Py underpins all the well-known working frameworks. Moreover, this structure simplifies the web application improvement process through an electronic interface, a web server, and a SQL database. This system enables clients to alter, fabricate, oversee, and send web applications through internet browsers.

Key Features:

  • One of the most essential key highlights of Web2Py is its usage in the ticket-granting mechanism to recollect its status and errors mainly.
  • Cross-platform – It runs on various operating systems such as Windows, MAC, and Unix/Linux using Python 2.7/3.5/3.6/pypy.
  • Security: It prevents the most common types of vulnerabilities.
  • Role-based access control
  • Follows MVC pattern
  • Enhanced backward compatibility
  • High readability of multiple protocols
  • A consistent API
  • Availability of pure Python templating

6- Dash


Dash is the best open source microframework used to create and manufacture investigative electronic applications. It is mainly a perfect system for information researchers who have no clue about the web advancement process. Uses of Dash are like web servers that speak with JSON parcels through HTTP demands and run the Flask. This structure utilizes Flask modules to assemble its very own capacities. Dash applications are portable prepared, and cross-stage since they can be rendered in the web server and likewise conveyed in the servers.

Key Features:

  • Plugin support
  • Effective error handling mechanism.
  • URL routing
  • LDAP integration
  • Availability of the simple interface for tying UI controls.
  • A high degree of customization

7- Tornado

Tornado, a Python framework

Tornado is also an Interesting Python Framework in which we can build up a less complex site utilizing dialects, for example, HTML, CSS, and Python. When greater and complex ventures are thought of as, gets harder and costlier to complete things inside shorter cutoff times – subsequently, a web structure like Tornado proves to be useful. Web structures like Tornado fundamentally give a few highlights which are basic to any utilization that can be created with it, for example, Database support, URL dealing with, HTML formats, and so forth.

Tornado is one of the best web frameworks of the Python programming language. This framework enables a cleaner approach to web server programming and focuses on non-blocking operations. This framework can also scale to an enormous number of open connections.

Key Features:

  • Extensive support for localization and translation.
  • Availability of web templating techniques.
  • Real-time services
  • Offers effective results.
  • Allows the implementation of third party authorization and authentication schemes.

8- CubicWeb

Cubic Web

Type – Full-stack framework Developed and curated by Logilab, CubicWeb is a free-to-use, semantic, open-source, Python-based web framework. Based on the data model, CubicWeb requires the same definition to develop a functional application.

Unlike other popular Python frameworks that use separate views and models, CubicWeb uses a cube. Multiple cubes are then joined together to create an instance with the help of a database, a web server, and some configuration files.

Key Features:

  • OWL (Web Ontology Language) and RDF (Resource Description Framework) support
  • Reusable components
  • Security workflows
  • Simplifies data-related queries with RQL (Relational Query Language) embedding
  • Support for multiple databases

Must Read

The above are the top Python frameworks that are extensively used for real-world applications in Python Programming.

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