Plone CMS is an open source Content Management System for managing information and administering content. Plone is backed by Plone Foundation - international non-profit organization. The organization holds the copyright, and Plone Content Management System is available under a dual licensing scheme, GPL and a commercial license.
Plone Content Management System was founded in 1999 by Alan Runyan (USA), Alexander Limi (Norway) and Vidar Andersen (Norway). Plone has 200 core developers and more than 300 solution providers in 57 different countries.
Plone CMS is built on top of the Zope web application server and Zope's Content Management Framework, written in Python. Plone Content Management System is ideal as an intranet server, as a document publishing system and as a groupware tool for collaboration between separately located entities. A versatile software product like Plone Content Management System can be used in a myriad of ways. Plone works on top of Linux, Windows, Mac OSX, and other Unix variants.
INDUSTRIAL STRENGTH SECURITY
Object-oriented navigation – Plone is an object-oriented system that uses folder-based navigation with human-readable URLs. Customizable navigation portlets offer flexible user guidance.
Search engine optimization – The compliance to web standards, as well as the automatic production of machine-readable sitemaps make Plone a search engine-optimized system.
Multilingual – Plone is designed for international use, featuring over 50 different languages, including Arabic, Hebrew and Chinese.
Internal search engine – An internal search engine, featuring advanced options facilitates finding specific information instantaneously. Various search engines (e. g. Solr GSA) can be plugged in via add-ons.
Social networking – Plone supports social networking by automatically generating feeds out of search results and folder contents. A wide range of extensions and add-on products integrate Plone into other social networks.
Accessibility – Plone is accessible and complies to WAI-AA standard and the U.S. Government Section 508. Since public institutions are legally obliged to offering barrier-free websites, Plone can perfectly assist on these efforts – including a barrier-free UI for editors as well.
Django CMS is a modern web publishing platform built with Django, the web application framework “for perfectionists with deadlines”.
django CMS offers out-of-the-box support for the common features you’d expect from a CMS, but can also be easily customized and extended by developers to create a site that is tailored to their precise needs.
Integrate Django applications painlessly; build sophisticated sites with easy-to-use tools.
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
Supports both convolutional networks and recurrent networks, as well as combinations of the two.
Runs seamlessly on CPU and GPU.
User friendliness. Keras is an API designed for human beings, not machines. It puts user experience front and center. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear and actionable feedback upon user error.
Modularity. A model is understood as a sequence or a graph of standalone, fully-configurable modules that can be plugged together with as few restrictions as possible. In particular, neural layers, cost functions, optimizers, initialization schemes, activation functions, regularization schemes are all standalone modules that you can combine to create new models.
Easy extensibility. New modules are simple to add (as new classes and functions), and existing modules provide ample examples. To be able to easily create new modules allows for total expressiveness, making Keras suitable for advanced research.
Work with Python. No separate models configuration files in a declarative format. Models are described in Python code, which is compact, easier to debug, and allows for ease of extensibility
Webware for Python. Webware for Python is an object-oriented, Python web application framework. The suite uses well known design patterns and includes a fast application server, servlets, Python Server Pages (PSP), object-relational mapping, Task Scheduling, Session Management, and many other features.
Webware for Python is a suite of programming tools for constructing web-based applications in Python. It features:
Traditional web development tools:
Python-based Server Pages
Object-relational mapping (ORM)
Webware for Python is well proven and platform-independent. It is compatible with multiple web servers, database servers, and operating systems.
Nagare is a free and open-source web framework for developing web applications in Stackless Python. This allows web applications to be developed in much the same way as desktop applications, for rapid application development.
Nagare is a components based framework: a Nagare application is a composition of interacting components each one with its own state and workflow kept on the server.
Each component can have one or several views that are composed to generate the final web page. This enables the developers to reuse or write highly reusable components easily and quickly.
Nagare is also a continuation-based web framework which enables to code a web application like a desktop application, with no need to split its control flow in a multitude of controllers and with the automatic handling of the back, fork and refresh actions from the browser.
Its component model and use of the continuation come from the famous Seaside Smalltalk framework.
Furthermore, Nagare integrates the best tools and standard from the Python world. For example:
WSGI: binds the application to several possible publishers,
lxml: generates the DOM trees and brings to Nagare the full set of XML features (XSL, XPath, Schemas …),
setuptools: installs, deploys and extends the Nagare framework and the Nagare applications too,
Pyramid is a Python web application framework. It is designed to make creating web applications easier. It is open source. A pyramid is fully compatible with Python 3.
With Pyramid, we can write very small applications without needing to know a lot. And by learning a bit more, you can write very large applications too.
Pyramid will allow you to become productive quickly and will grow with you. It won't hold you back when your application is small, and it won't get in your way when your application becomes large. Other application frameworks seem to fall into two non-overlapping categories: those that support "small apps" and those designed for "big apps".
Pyramid can automatically detect changes you make to template files and code, so your changes are immediately available in your browser. You can debug using plain old print() calls, which will display to your console.
Pyramid has a debug toolbar that allows you to see information about how your application is working right in your browser. See configuration, installed packages, SQL queries, logging statements and more.
Anaconda is a freemium open source distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment
The condacommand is the primary interface for managing installations of various packages. It can:
Query and search the Anaconda package index and current Anaconda installation.
Create new conda environments.
Install and update packages into existing conda environments.
Anaconda Cloud is where data scientists share their work. You can search and download popular Python and R packages and notebooks to jumpstart your data science work.
Anaconda is the world’s most popular Python data science platform. Anaconda, Inc. continues to lead open source projects like Anaconda, NumPy and SciPy that form the foundation of modern data science. Anaconda’s flagship product, Anaconda Enterprise, allows organizations to secure, govern, scale and extend Anaconda to deliver actionable insights that drive businesses and industries forward.