The 15 most popular Python open source frameworks compiled from GitHub. These frameworks include event I/O, OLAP, web development, high-performance network communications, testing, crawlers, etc.
Django: Python Web application development framework
Django should be the most famous Python framework. GAE and even Erlang have frameworks affected by it. Django is taking a big and comprehensive direction. It is most famous for its fully automated management backend: just use the ORM and make simple object definitions, and it can automatically generate a database structure and a full-featured management backend.
Diesel: Greenlet-based event I/O framework
Diesel provides a neat API for writing network clients and servers. Supports TCP and UDP.
Flask: A lightweight web application framework written in Python
Flask is a lightweight web application framework written in Python. Based on Werkzeug WSGI toolbox and Jinja2
template engine. Flask is also called a "microframework" because it uses a simple core and uses extensions to add additional functionality. Flask does not have a default database or form validation tool.
Cubes: lightweight Python OLAP frameworkCubes is a lightweight Python framework that includes OLAP, multidimensional data analysis and browsing aggregated data, etc. tool.
Kartograph.py: A lightweight Python framework for creating vector mapsKartograph is a Python library for generating SVG maps for ESRI. Kartograph.py is still in the beta stage, you can test it in the virtualenv environment.
Pulsar: Python's event-driven concurrency frameworkPulsar is an event-driven concurrency framework. With pulsar, you can write programs that run in different processes or threads. One or more active asynchronous servers.
Web2py: Full-stack Web frameworkWeb2py is a full-featured Web application framework provided for the Python language. It is designed to develop Web applications agilely and quickly. , secure and portable database-driven applications, compatible with Google App Engine.
Falcon: A high-performance Python framework for building cloud APIs and web application backendsFalcon is a high-performance Python framework for building cloud APIs that encourages the use of REST architectural style , try to do the most things with the least effort.
Dpark: Python version of SparkDPark is a Python clone of Spark. It is a distributed computing framework implemented in Python, which can easily implement large-scale data processing. and iterative calculations. DPark is implemented by Douban. At present, most of the data analysis within Douban is completed using DPark, and it is becoming more and more perfect.
Buildbot: Python-based continuous integration testing frameworkBuildbot is an open source framework that can automate the process of software building, testing and release. Whenever the code changes, the server requires clients on different platforms to immediately build and test the code, and collects and reports the build and test results of the different platforms.
Zerorpc: A high-performance distributed RPC framework based on ZeroMQZerorpc is a remote procedure call protocol (RPC) implementation developed based on ZeroMQ and MessagePack. The Service API used with Zerorpc is called zeroservice. Zerorpc can be called programmatically or from the command line.
Bottle: Micro Python Web FrameworkBottle is a simple and efficient micro python Web framework that follows WSGI. It is said to be micro because it has only one file and does not depend on any third-party modules except the Python standard library.
Tornado: Python Web framework for asynchronous non-blocking IOThe full name of Tornado is Torado Web Server. You can tell from the name that it can be used as a Web server. But it is also a Python Web development framework. It was originally used on FriendFeed's website, and was open sourced after FaceBook acquired it.
webpy: lightweight Python Web frameworkThe design concept of webpy strives to be streamlined (Keep it simple and powerful), the source code is very short, and only provides one framework It is a must-have and does not rely on a large number of third-party modules. It has no URL routing, no templates and no database access.
Scrapy: Python crawler frameworkScrapy is written in Python, lightweight, simple and lightweight, and very convenient to use.
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