Best Microframeworks for Python

Find and compare the best Microframeworks for Python in 2024

Use the comparison tool below to compare the top Microframeworks for Python on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Flask Reviews
    Flask is a lightweight WSGI framework for web applications. It's easy to use and can scale up to complex applications. It started as a wrapper for Jinja and Werkzeug, and has since grown to be one of the most popular Python web app frameworks. Flask is a suggestion tool that doesn't require any dependencies. The developer can choose the tools and libraries that they prefer. The community has many extensions that make it easy to add new functionality.
  • 2
    Giotto Reviews
    It is based upon the concept of Model,View and Controllers. The framework is designed with a clean style in mind, which results in code that can be maintained for a long time. Other popular frameworks are designed with the mindset of launching quickly. This leads to code that is easy to deploy, but becomes complex after several iterations. Apache or gunicorn is an example of a control process. When the controller process is started, it receives a manifest. All requests sent to the controller process are routed to the program in the manifest. A manifest is a collection of programs. A user sends a request to a controller process. This can be either a web request or a command-line invocation or any other action handled by a Controller Process.
  • 3
    hug Reviews
    API development is dramatically simplified by using multiple interfaces. With hug, you can design and develop an API once, and then expose it to your clients in the way they need. Hug is the fastest way to create Python3 APIs, whether you want to do it locally, via HTTP or on the command line. Hug has been designed with performance in the forefront of its mind. It is designed to only consume resources when needed and is compiled with Cython for amazing performance. Huge is one of the fastest Python Frameworks. It is also the fastest high-level Python 3 framework. With hug, you can specify which versions or ranges of versions your API supports. This will then be enforced and communicated automatically to the API's users.
  • 4
    CherryPy Reviews
    CherryPy lets developers build web applications the same way as they would any other object-oriented Python programme. This allows for smaller source code to be developed in less time. CherryPy has been around for more than ten year and has proven to be reliable and fast. Many sites, from the most basic to the most demanding, use it in production. To get the most out of CherryPy you should begin with the tutorials which will guide you through the most important aspects of the framework. After you have completed the tutorials, you may want to look at the advanced and basic sections to see how certain operations are implemented. You will also want to read the configuration and extension sections, which go into detail about the powerful features of the framework.
  • 5
    Bottle Reviews
    Bottle is a lightweight, fast and simple WSGI micro-web framework for Python. It is distributed in a single module file and does not have any dependencies except for the Python Standard Library. Support for clean and dynamic URLs. Requests to function call mapping. Built-in template engine that is fast and pythonic, and supports mako2, jinja2 or cheetah. Access to form data, file uploads cookies, headers, and other HTTP metadata. Built-in HTTP Development Server and support for paste bjoern gae cherrypy or other WSGI capable HTTP servers.
  • 6
    FastAPI Reviews
    FastAPI is an advanced web framework that allows you to build APIs using Python 3.7+. It uses standard Python type hints. Fast: Very high-performance, on par with NodeJS or Go (thanks Pydantic and Starlette). One of the fastest Python Frameworks available. Reduce code duplication and get multiple features out of each parameter declaration.
  • 7
    Falcon Reviews
    Falcon is a minimalist Python web API Framework for building robust microservices and app backends. The framework is compatible with both ASGI and gevent/meinheld. The Falcon web framework promotes REST architecture. Resource classes implement HTTP handlers to resolve requests and perform transitions. Falcon is a complement to more general Python webframeworks by adding extra reliability, flexibility and performance where you need it. You can use a number of Falcon templates, add-ons and complementary packages in your projects. You can find a few of these on the Falcon Wiki as a start, but you might also want to search PyPI for more resources.
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