#jinja2

[utopicwork]

Think I figured out a model that'll be good for testing local inference for code generation, shocker it's a Deepseek model, ill test it out soon, though I hate to interrupt the pix2pix training I'm doing but by my calculations that'll take weeks so I'd have to stop and resume training at some point anyway. Anyway I'm hoping to at least be able to coax out a few jinja2 templates but I haven't touched modern prompting myself in any depth yet so we'll see what I end up with

[richardkilleen]

Lab 07: Ansible OSPF for Juniper and iBGP for Cisco | Jinja2 Templates a...

[ericvanderburg]

CVE-2025-23211: Tandoor Recipes Jinja2 SSTI to Remote Code Execution

http://i.securitythinkingcap.com/TKf134

[sophiasmithg]

The Best 9 Python Frameworks for App Development in 2025

Python is the most popular and high-level, general-purpose programming language that supports multiple programming models, including structured, object-oriented, and functional programming. App developers often prefer using Python frameworks for App Development.

Developers often use Pyjnius, a Python library that allows access to Java classes. It can either launch a new Java Virtual Machine (JVM) within the process or connect to an existing JVM, such as the one already running on Android.

According to recent research from Statista, more than 48% of developers use Python frameworks for mobile app development.

What is a Python Framework?

Python frameworks are collections of pre-built modules and packages that help developers handle common tasks efficiently.

They simplify application development by providing ready-made solutions, so developers don’t have to start from scratch.

These frameworks also take care of details like thread management, sockets, and protocols, saving time and effort.

9 Best Python Frameworks for App Development in 2025

Explore here a list of Top 10 Python App Frameworks to Use in 2025:

1-Django

Django is a leading Python framework designed for building dynamic mobile and web applications with ease. It leverages a robust Object-Relational Mapping (ORM) system and follows the Model-View-Controller (MVC) pattern, ensuring clean, reusable, and easily maintainable code.

Whether you’re creating simple apps or scaling complex projects, Django’s powerful features make development faster and more efficient.

It has built-in tools like URL routing/parsing, authentication system, form validation, template engine, and caching to ensure a swift development process.

Django follows the DRY (Don’t Repeat Yourself) concept and focuses on rapid app development with a neat design.

This framework is the first choice of developers for any Python project due to its versatility, customization, scalability, deployment speed, simplicity, and compatibility with the latest Python versions.

According to a Stack Overflow survey, Django and Flask are the most popular Python software development frameworks.

Some examples popular examples of apps built with the Django framework are Instagram and Spotify.

Key Features of Django Framework:

Enables execution of automated migrations

Robust security

Enhanced web server support

Comprehensive documentation

Vast add-ins with SEO optimization

2-Flask

Flask stands out as a top-rated, open-source Python microframework known for its simplicity and efficiency. The Flask framework comes packed with features like a built-in development server, an intuitive debugger, seamless HTTP request handling, file storage capabilities, and robust client-side session support.

It has a modular and adaptable design and added compatibility with Google App Engine.

Besides Django, Flask is another popular Python framework with the Werkzeug WSGI toolkit and Jinja2 template.

Flask operates under the BSD license, ensuring simplicity and freedom for developers.

Inspired by the popular Sinatra Ruby framework, Flask combines minimalism with powerful capabilities, making it a go-to choice for building scalable and efficient web applications.

Key Features of Flask Framework:

Jinja2 templating and WSGI compliance

Unicode-based with secure cookie support

HTTP request handling capability

RESTful request dispatch handling

Built-in server development and integrated unit-testing support

Plugs into any ORM framework

3-Web2Py

Web2Py is an open-source, full-stack, and scalable Python application framework compatible with most operating systems, both mobile-based and web-based.

It is a platform-independent framework that simplifies development through an IDE that has a code editor, debugger, and single-click deployment.

Web2Py deals with data efficiently and enables swift development with MVC design but lacks configuration files on the project level.

It has a critical feature, a ticketing system that auto-generates tickets in the event of issues and enables tracking of issues and status.

Key Features of Web2py Framework:

No configuration and installation needed

Enables use of NoSQL and relational databases

Follows MVC design with consistent API for streamlining web development

Supports internationalization and role-based access control

Enable backward compatibility

Addresses security vulnerabilities and critical dangers

4-TurboGears

TurboGears is an open-source, full-stack, data-driven popular Python web app framework based on the ObjectDispatch paradigm.

It is meant to make it possible to write both small and concise applications in Minimal mode or complex applications in Full Stack mode.

TurboGears is useful for building both simple and complex apps with its features implemented as function decorators with multi-database support.

It offers high scalability and modularity with MochiKit JavaScript library integration and ToscaWidgets for seamless coordination of server deployment and front end.

Key aspects of TurboGears Framework:

MVC-style architecture

Provides command-line tools 

Extensive documentation

Validation support with Form Encode

It uses pylons as a web server

Provides PasteScript templates

5-Falcon

Falcon is a reliable and secure back-end micro Python application framework used for developing highly-performing microservices, APIs, and large-scale application backends.

It is extensible and optimized with an effective code base that promotes building cleaner designs with HTTP and REST architecture.

Falcon provides effective and accurate responses for HTTP threats, vulnerabilities, and errors, unlike other Python back-end frameworks. Large firms like RackSpace, OpenStack, and LinkedIn use Falcon.

Falcon can handle most requests with similar hardware to its contemporaries and has total code coverage.

Key Features of Falcon Framework:

Intuitive routing with URL templates

Unit testing with WSGI mocks and helpers

Native HTTP error responses

Optimized and extensible code base

Upfront exception handling support

DRY request processing

Cython support for enhanced speed

6-CherryPy

CherryPy is an object-oriented, open-source, Python micro framework for rapid development with a robust configuration system. It doesn’t require an Apache server and enables the use of technologies for Cetera templating and accessing data.

CherryPy is one of the oldest Python app development frameworks mainly for web development. Applications designed with CherryPy are self-contained and operate on multi-threaded web servers. It has built-in tools for sessions, coding, and caching.

Popular examples of CherryPy apps include Hulu and Juju.

Key features of CherryPy Framework:

Runs on Android

Flexible built-in plugin system

Support for testing, profiling, and coverage

WSGI compliant

Runs on multiple HTTP servers simultaneously

Powerful configuration system

7-Tornado

It is an open-source asynchronous networking Python framework that provides URL handling, HTML support, python database application framework support, and other crucial features of every application.

Tornado is as popular as Django and Flask because of its high-performing tools and features except that it is a threaded framework instead of being WSGI-based.

It simplifies web server coding, handles thousands of open connections with concurrent users, and strongly emphasizes non-blocking I/O activities for solving C10k difficulties. 

Key features of Tornado Framework:

Web templating techniques

Extensive localization and translation support

Real-time, in-the-moment services

Allows third-party authorization, authorization methods, and user authentication

Template engine built-in

HTTP client that is not blocking

8- AIOHTTP Python Frameworks for App Development

AIOHTTP is a popular asynchronous client-side Python web development framework based on the Asyncio library. It depends on Python 3.5+ features like Async and Awaits. 

AIOHTTP offers support for client and server WebSockets without the need for Callback Hell and includes request objects and routers for redirecting queries to functions.

Key Highlights of AIOHTTP Python Framework:

Provides pluggable routing

Supports HTTP servers

Supports both client and WebSockets without the callback hell.

Middleware support for web servers

Effective view building

Also, there are two main cross-platform Python mobile app frameworks

9- Kivy Python Frameworks for App Development

Kivy is a popular open-source Python framework for mobile app development that offers rapid application development of cross-platform GUI apps.

With a graphics engine designed over OpenGL, Kivy can manage GPU-bound workloads when needed.

Kivy comes with a project toolkit that allows developers to port apps to Android and has a similar one for iOS. However, porting Python apps to iOS currently is possible with Python 2.7.

Features of Kivy Framework:

Enables custom style in rendering widgets to give a native-like feel

Enhanced consistency across different platforms with a swift and straightforward approach

Well-documented, comprehensive APIs and offers multi-touch functionalities

Source of Content: Python Frameworks for App Development

[kaobei-engineer]

#純靠北工程師8kq

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最近又發現了一種很特別的工程師，姑且就叫做 Jinja2 工程師。 因為他們不論是學習，還是解決問題，都像是在背書，拿著寫好的 Jinja2 模板到處去複製貼上。 雖然他們可以應付改改變數的事情，例如九九乘法表 for i 改成 for j，但是一旦遇到雙層迴圈就完蛋了。 第二層迴圈你先示範改成 for j；哪天你不小心寫成 for i2, for ii，他們就會原地爆炸，抗議跟之前講的不一樣、又在亂改，然後花好久好久的時間重學 for i2, for ii, ...。

----------

💖 純靠北工程師 官方 Discord 歡迎在這找到你的同溫層！

👉 https://discord.gg/tPhnrs2

----------

💖 全平台留言、文章詳細內容

👉 https://init.engineer/cards/show/11114

[codezup]

Unlock Advanced Templating for Web Apps with Flask, Jinja2, and JavaScript

Introduction Advanced Flask Templating with Jinja2 and JavaScript is a powerful combination that allows developers to create dynamic, interactive, and visually appealing web applications. This tutorial will guide you through the process of using Flask, Jinja2, and JavaScript to build a robust and scalable web application. What You Will Learn How to use Jinja2 templating engine with Flask to…

[qcs01]

Unlocking the Power of Ansible Automation: Best Practices and Performance Optimization

Introduction

In the fast-paced world of IT, automation has become a critical component for managing and scaling infrastructure efficiently. Among the many automation tools available, Ansible stands out for its simplicity, powerful features, and wide adoption. This blog post will dive into the best practices for using Ansible, along with tips on optimizing its performance, especially in large environments.

Why Ansible?

Ansible is an open-source automation tool that automates software provisioning, configuration management, and application deployment. Its agentless architecture, using SSH for communication, makes it easy to set up and use. With a declarative language, playbooks written in YAML, and a rich set of modules, Ansible simplifies complex automation tasks.

Getting Started with Ansible

Installation: Begin by installing Ansible on a control node. For RHEL-based systems, use:

sudo yum install ansible

For Debian-based systems, use:

 sudo apt-get install ansible

      2. Inventory Setup: Ansible manages hosts through an inventory file, which can be a simple text file or dynamic inventory scripts.

[webservers]

web1.example.com

web2.example.com

[dbservers]

db1.example.com

    3.Writing Playbooks: Playbooks are the heart of Ansible, defining tasks to be executed on remote hosts.

---

- hosts: webservers

  tasks:

    - name: Install Nginx

      yum:

        name: nginx

        state: present

Best Practices for Ansible

Modular Playbooks: Break down large playbooks into smaller, reusable roles. This promotes reusability and easier management.

---

- name: Setup web server

  hosts: webservers

  roles:

    - nginx

    - php

    - firewall

    2.Idempotency: Ensure that your playbooks are idempotent, meaning running the same playbook multiple times should not produce different results. Use the state parameter effectively to manage resource states

   3.Version Control: Store your playbooks in a version control system like Git. This allows for tracking changes, collaboration, and rollback if needed

   4.Use Variables and Templates: Leverage Ansible variables and Jinja2 templates to create flexible and dynamic configurations.

---

- hosts: webservers

  vars:

    server_name: "example.com"

  tasks:

    - name: Configure Nginx

      template:

        src: templates/nginx.conf.j2

        dest: /etc/nginx/nginx.conf

Optimizing Ansible Performance

Parallel Execution: Increase the number of forks (parallel tasks) to speed up execution. Edit the ansible.cfg file:

[defaults]

forks = 10

     2. Reduce SSH Overhead: Use persistent SSH connections to minimize the overhead of establishing new connections.

[ssh_connection]

ssh_args = -o ControlMaster=auto -o ControlPersist=60s

   3. Limit Fact Gathering: Disable fact gathering if not needed or limit it to specific tasks to reduce execution time.

---

- hosts: webservers

  gather_facts: no

  tasks:

    - name: Setup Nginx

      yum:

        name: nginx

        state: present

   4. Optimize Inventory: Use a dynamic inventory script to manage large environments efficiently. This can help scale Ansible to manage thousands of hosts.

Conclusion

Ansible automation is a powerful tool for managing IT infrastructure. By following best practices and optimizing performance, you can harness its full potential, ensuring efficient and scalable automation. Whether you're managing a small set of servers or a large, complex environment, Ansible's flexibility and simplicity make it an indispensable tool in your DevOps toolkit.

For more details click www.hawkstack.com 

[itview2024]

Can I Use Python for Web Development?

Yes, you can use Python for web development! Python is a versatile and powerful programming language that is widely used for various types of software development, including web development. Here’s an overview of how Python can be used to create dynamic, robust, and scalable web applications.

Why Use Python for Web Development?

Readability and Simplicity: Python’s syntax is clear and easy to read, making it an excellent choice for beginners and experienced developers alike. The simplicity of Python allows developers to focus on solving problems rather than getting bogged down by complex syntax.

Rich Ecosystem: Python boasts a vast collection of libraries and frameworks that simplify the development process. These tools provide pre-built functionalities that can save time and effort.

Versatility: Python is not only used for web development but also for data analysis, artificial intelligence, machine learning, automation, and more. This versatility allows developers to use Python across different domains within the same project.

Popular Python Frameworks for Web Development

Several frameworks can be used for web development in Python, each catering to different needs:

Django:

Overview: Django is a high-level web framework that encourages rapid development and clean, pragmatic design.

Features: It includes an ORM (Object-Relational Mapping), an admin panel, authentication, URL routing, and more.

Use Cases: Ideal for building large-scale applications, such as social media platforms, e-commerce sites, and content management systems.

Flask:

Overview: Flask is a micro-framework that gives developers the freedom to choose the tools and libraries they want to use.

Features: It is lightweight and modular, with a focus on simplicity and minimalism.

Use Cases: Suitable for small to medium-sized applications, RESTful APIs, and prototyping.

Pyramid:

Overview: Pyramid is designed for flexibility and can be used for both simple and complex applications.

Features: It offers robust security, scalability, and the ability to choose the components you need.

Use Cases: Perfect for applications that may start small but are expected to grow over time.

How Python Web Development Works

Server-Side Scripting: Python is used to write server-side scripts that interact with databases, manage user authentication, handle form submissions, and perform other backend tasks.

Web Frameworks: Frameworks like Django, Flask, and Pyramid provide the structure and tools needed to build web applications efficiently. They handle many of the complexities involved in web development, such as routing requests, managing sessions, and securing applications.

Template Engines: Python frameworks often include template engines like Jinja2 (used in Flask) or Django’s templating system. These engines allow developers to create dynamic HTML content by embedding Python code within HTML templates.

Database Integration: Python’s ORM tools, such as Django ORM or SQLAlchemy, simplify database interactions by allowing developers to interact with databases using Python code instead of raw SQL.

Testing and Deployment: Python offers robust testing frameworks like unittest and pytest, which help ensure code quality and reliability. Deployment tools and services, such as Docker, Heroku, and AWS, make it easier to deploy and scale Python web applications.

Examples of Python in Web Development

Instagram: Built using Django, Instagram is a prime example of Python’s capability to handle large-scale applications.

Pinterest: Utilizes Python for its backend services, allowing for rapid development and iteration.

Spotify: Uses Python for data analysis and backend services, demonstrating Python’s versatility beyond traditional web development.

Conclusion

Python is a powerful and flexible language that is well-suited for web development. Its ease of use, rich ecosystem of libraries and frameworks, and strong community support make it an excellent choice for developers looking to build robust web applications. Whether you are building a simple website or a complex web application, Python provides the tools and flexibility needed to create high-quality, scalable solutions.

[deepsfutura]

Popular Python Frameworks 2024

Django

Developers may swiftly create complicated programs and apps with Django, an open-source, free Python framework. Python is a powerful tool for web developers to create high-quality online apps. Developing web apps and APIs is a breeze with Django, one of the greatest Python frameworks. It has been utilized for the development of more than 12,000 projects. The large library collection, minimal coding requirements, and component reusability of the Python framework make it well-liked.

CherryPy

CherryPy is a Python web development framework that is simple, fast, and stable. It may operate on any functional framework that supports Python and is available as open-source software. You can use any type of technology for data access and templating with the CherryPy web framework. It is capable of performing all the functions of a web framework, including file uploads, sessions, static content, cookies,etc.

Using CherryPy, developers may create web applications in the same way that they would any other Python object-oriented program. As a result, minor source code is developed faster.

Pyramid

The Pyramid Python web development framework is used by IT heavyweights including Yelp, Dropbox, Mozilla, and SurveyMonkey. Its simplicity and flexibility have made the framework popular. Python 3 is used to run Pyramid. To create intricate projects and necessary web apps, developers can utilize the Pyramid framework. Because of its transparency and quantifiable quality, even seasoned Python developers hold it in high respect.

Grok

ZPK technology serves as the foundation for the web framework Grok. Accelerating app development is the goal of the open-source Grok framework. Grok task needs to suggest a wide range of standalone and network libraries from which developers can select. Additionally, Pylons and TurboGears are two other full-stack Python frameworks that are similar to the framework’s user interface.

TurboGears

A full-stack Python web application framework powered by data is called TurboGears. The purpose of its design is to address the shortcomings of several popular frameworks for developing mobile and web apps. Software developers can start creating web applications with a minimal setup thanks to its empowerment. The JavaScript development tools provided by TurboGears facilitate the construction of Python websites for web developers and Python web development businesses. Elements like SQLAlchemy, Repoze, WebOb, and Genshi allow you to construct web apps considerably more quickly than with current frameworks. Pylons and other web servers are supported, along with several databases.

Web2Py

With Web2py, you can test and maintain web applications with a code editor, debugger, and deployment tool. Windows, Mac, Unix/Linux, Google App Engine, and more platforms are all supported by this cross-platform framework. Using an online interface, a web server, and an SQL database, the framework simplifies the process of developing Python apps. Through web browsers, it allows clients to create, edit, publish, and maintain web apps.

Flask

Based on the Sinatra Ruby framework, Flask is a Python framework available under the BSD license. Flask is dependent on the Jinja2 template and the Werkzeug WSGI toolset. The main goal is to support the establishment of a solid foundation for web applications. The Python backend framework is extensible to developers in any way they see fit. Still, it was intended for unrestricted use. Large corporations, such as Pinterest and LinkedIn, have used Flask. Flask works better for simple, tiny projects than Django. As a result, you may anticipate integrated unit testing, web server development, and support for Google App Engine.

Bottle

Small-scale frameworks like The Bottle are among the best available for Python web development. It was initially created for creating web APIs. Bottle attempts to perform all of these within a single source document as well. The Python Standard Library is the only dependency it has. Bottle’s default features include direction, utilities, templating, and basic abstractions over the WSGI standard. Coding with a full-stack framework will get you much closer to the metal, much like with Flask.

Tornado

The web framework and unconventional framework library for Python is called Tornado. The framework I/O is non-blocking. Furthermore, when designed correctly, the framework can handle more than 10,000 simultaneous connections, resolving the C10k issue. It is therefore a fantastic tool for developing applications that need to support many concurrent users and high performance.

BlueBream

A server, framework, and library for web developers, BlueBream is also available as an open-source resource. Previously known as Zope 3, it was created by the Zope group. With its many reusable and appropriate pieces, this framework works best for medium-sized and large-scale tasks. ZTK, or Zoop Toolkit, is used by BlueBream. It has vast expertise, therefore it satisfies the primary requirements for robust, consistent, and flexible programming.

To sum up, the abundance of Python frameworks suggests that opportunities abound in the software development industry. At Futura Labs, one of Calicut’s top software training facilities, we understand how important it is to understand these frameworks. Every framework offers advantages of its own, including the flexibility of Django and the ease of use of Flask. You may take advantage of these useful tools to reach your full potential and stay ahead in the quick-paced software development market by joining Futura Labs right now.

[govindhtech]

FakeNet-NG: Powerful Malware Analysis and Network Simulation

What is FakeNet-NG?

A dynamic network analysis tool called FakeNet-NG mimics network services and records network requests to help in malware research. The FLARE team is dedicated to improving and maintaining the tool to increase its functionality and usability. Though highly configurable and platform-neutral, FakeNet needed a more user-friendly and intuitive presentation of the network data it collected so you could find pertinent Network-Based Indicators (NBIs) more quickly. Google expanded FakeNet-NG to provide HTML-based output that allows you to examine, explore, and share collected network data in order to solve this problem and further improve usability.

In order to overcome this difficulty and improve usability even further, they expanded the functionality of FakeNet-NG to provide HTML-based output, which lets you see, investigate, and share network data that has been gathered.

Engaging HTML-Based Results

An HTML page with inline CSS and Javascript supports the new interactive output of FakeNet-NG. FakeNet-NG’s current text-based output and the new HTML-based output. Using a Jinja2 template that it fills with the network data it has collected, FakeNet-NG creates each report. Your preferred browser can be used to view the final report once it has been saved to the current working directory. To analyse the recorded network activity together, you may also distribute this file to other people.

Captured network data can be chosen, filtered, and copied using the HTML interface.

Network data that has been gathered can be chosen, filtered, and copied using the HTML interface.

Creation and Execution

Planning and Execution

Insides of FakeNet-NG

FakeNet-NG Tutorial

The three main components that make up FakeNet-NG’s modular architecture are as follows:

Diverter: The target system’s main component intercepts all incoming and outgoing network traffic. It sends these packets to the Proxy Listener by default so that it can process them further.

Between the Diverter and the protocol-specific Listeners lies a component known as the Proxy Listener. Based on variables including port, protocol, and data content, it examines application layer data to determine which Listener is best for every network packet.

Protocol-specific Listeners: These specialized Listeners process requests unique to their particular protocols and produce responses that resemble authentic server behavior. Examples of these specialized Listeners are HTTP, FTP, and DNS.

Extending NBI Analysis Using FakeNet-NG

It was necessary to enhance essential components in order to record, store, and associate network data with the source activities in order to enable FakeNet-NG to provide thorough and informative reports.

FakeNet-NG Comprised:

Improving data storage: The Diverter keeps track of extra data, such as process IDs, names, and linkages between source ports that were started by the proxy and those that were started by the original.

Presenting NBI mapping: The Diverter allows for the unambiguous attribution of network activity by mapping network data to source processes.

Encouraging information exchange: To ensure precise data monitoring, the Proxy Listener sends pertinent packet metadata to the Diverter.

The interactive HTML-based output is created by combining the data that is captured by each component using FakeNet-NG

NetworkMode: Choose the network mode that FakeNet-NG should operate in.

NetworkMode: Choose which network mode to use while launching FakeNet-NG.

Acceptable configurations.

Suitable configurations.

SingleHost: control traffic coming from nearby processes.

Manipulate traffic from other systems with MultiHost.

Auto: Select the NetworkMode that works best for the platform right now.

Presently, not every platform supports every NetworkMode configuration.

This is how support is currently standing:

Only Windows supports OneHost

With the exception of process, port, and host blacklisting and whitelisting, Linux supports both MultiHost and, in an experimental state, SingleHost mode.

To access Linux’s MultiHost mode and Windows’ SingleHost mode, leave this set to Auto for the time being.

DNS-related setting and Windows implementation:

ModifyLocalDNS – direct the local machine’s DNS service to the DNS listener of FakeNet-NG.

Cease DNS Service: This command ends the DNS client service (Dnscache) on Windows. In contrast to the standard’svchost.exe’ process, this enables FakeNet-NG to observe the real processes that resolve domains.

Linux version

The following settings are supported by the Linux version of Diverter:

LinuxRedirectNonlocal – This tells you which externally facing network interfaces to reroute to FakeNet-NG when you use it to mimic Internet connectivity for a separate host.

Before adding rules for FakeNet-NG, use LinuxFlushIptables to flush all iptables rules.

As long as the Linux Diverter’s termination sequence remains unbroken, the previous rules will be reinstated.

LinuxFlushDnsCommand: If necessary, enter the appropriate command here to clear the DNS resolver cache for your Linux distribution.

Select which detailed debug events to show with the DebugLevel option.

Upcoming projects

However think there is still room to improve the HTML-based output from FakeNet-NG so that analysts can benefit even more. A communication graph, network behavior graphically would be a crucial contribution. With edges connecting process nodes to other nodes like IP addresses or domain names, this widely used approach maps processes to the corresponding network requests. You might quickly and easily grasp a program’s communication patterns by using FakeNet-NG with this kind of visualization.

Get rid of unnecessary network traffic: Reduce noise produced by safe Windows services and apps so that the most important network information is highlighted.

Make sure the HTML report includes ICMP traffic: Present a more thorough overview of network activity by showcasing network data based on ICMP.

Add pre-set filters and filtering options: Provide pre-set filters and easy-to-use filtering tools to omit typical Microsoft network traffic.

Enhance the usability of exported network data by giving the user the option to select the information that should be included in the exported Markdown data. This will improve the formatting of the Markdown data.

In conclusion

As the go-to tool for dynamic network analysis in malware research, FakeNet-NG keeps getting better. It intend to improve its usefulness by providing interactive HTML-based output, which will enable you to traverse and analyses even the largest and most intricate network data grabs in a clear, simple, and aesthetically pleasing manner.

To make your analysis of dynamic network data more efficient, they invite you to investigate the new HTML-based output and take advantage of its filtering, selection, and copying features. For the most recent version of FakeNet-NG, download it from our Github repository, make contributions to the project, or leave comments.

Read more on govindhtech.com

[utopicwork]

Ive been trying to figure out the best way to handle html generation so it's simple for your average user to understand/utilize. This morning I think I've got it. Pages will be made up of components, the components will be pickable to compose a page through a dynamic form and there will be an intermediate format for pages so that the editor can easily handle editing.

For the more technically inclined: the intermediate format will be parsed into a jinja2 template and all the components will be jinja2 templates making it simple to form even complex pages. You'll also be able to write your own components.

[associative07]

Exploring The Power Of Pyramid Development: A Guide By Associative

In the realm of web application development, choosing the right framework can significantly impact the success and scalability of your projects. Pyramid, a Python web framework, has emerged as a versatile and powerful tool for building robust, maintainable, and scalable web applications. As a leading software development and consulting company based in Pune, India, Associative specializes in harnessing the capabilities of Pyramid development to deliver innovative solutions for businesses worldwide. In this article, we delve into the intricacies of Pyramid development and explore how Associative leverages this technology to drive digital transformation and empower businesses.

Introducing Pyramid Development

Pyramid, known for its minimalist design and flexibility, is a Python web framework that prioritizes simplicity, ease of use, and developer productivity. Built on the principles of modularity and extensibility, Pyramid offers developers a high level of control and customization, allowing them to build applications tailored to their specific requirements. With its intuitive routing system, comprehensive templating engine, and powerful extension mechanisms, Pyramid provides a solid foundation for building web applications of any size or complexity.

Empowering Businesses With Pyramid Development

At Associative, we recognize the transformative potential of Pyramid development and specialize in helping businesses leverage this technology to achieve their goals and stay ahead of the competition. Whether you’re looking to build a dynamic e-commerce platform, develop a content management system, or create a custom web application, our team of experienced developers leverages the power of Pyramid to deliver solutions that are scalable, secure, and user-friendly. From concept to deployment, we work closely with our clients to understand their unique requirements and deliver tailored solutions that drive business growth and success.

Key Features Of Our Pyramid Development Services

Customized Solutions: We offer end-to-end Pyramid development services, from initial concept ideation to application deployment and maintenance. Our team of experienced developers specializes in building custom solutions that align with our clients’ vision, goals, and budgetary constraints.

Modular Architecture: Pyramid’s modular architecture allows developers to build applications as a collection of loosely coupled components, making it easier to manage complexity, reuse code, and scale applications as needed. Leveraging Pyramid’s extensibility and flexibility, we develop modular applications that are easy to maintain, upgrade, and extend over time.

Flexible Templating: Pyramid comes with a powerful templating engine that supports a variety of templating languages, including Jinja2, Chameleon, and Mako. Whether you prefer concise and expressive syntax or rich and feature-rich templates, we leverage Pyramid’s flexible templating system to create dynamic, responsive, and visually appealing user interfaces.

RESTful APIs: Pyramid provides native support for building RESTful APIs, making it easy to expose application functionality and data to external clients. Whether you’re building a backend service for a single-page application (SPA) or developing a microservices-based architecture, we leverage Pyramid’s RESTful capabilities to create scalable, interoperable, and secure APIs that meet your business needs.

Scalability and Performance: Pyramid is designed to be fast, lightweight, and efficient, making it well-suited for building high-performance web applications. Whether you’re serving thousands of concurrent users or processing large volumes of data, we optimize our Pyramid applications for scalability, reliability, and performance, ensuring that your applications perform optimally under load.

Conclusion

In conclusion, Pyramid development offers a versatile and powerful platform for building modern web applications that are scalable, maintainable, and user-friendly. At Associative, we leverage our expertise in Pyramid development to empower businesses to achieve their goals, streamline operations, and drive digital transformation. Whether you’re looking to build a new web application or modernize your existing stack, Associative is your trusted partner for Pyramid development excellence.

If you’re ready to embark on your web development journey or looking to enhance your existing web applications with Pyramid, contact Associative today, and let us help you turn your vision into reality.

[richardkilleen]

Lab 6: OSPF Configuration with Ansible and Jinja2 Templates | Automate C...

[kodehashtechnology]

Flask vs Django: Delving into Features, Ecosystem, and Community Support

Flask and Django are two popular Python web frameworks that offer developers powerful tools for building web applications. While both frameworks are widely used in the development community, they have distinct features, ecosystems, and levels of community support. In this article, we will delve into the features, ecosystem, and community support of Flask and Django to help you understand their differences and choose the right framework for your project.

Features:

Flask:

Flask is a lightweight and minimalist web framework known for its simplicity and flexibility. Some key features of Flask include:

Minimalistic Design: Flask follows a micro-framework approach, providing developers with only the essential tools for web development.

Extensibility: Flask allows developers to extend its functionality with various extensions and third-party libraries, enabling them to add features as needed.

URL Routing: Flask provides a simple and intuitive mechanism for defining URL routes and mapping them to view functions.

Jinja2 Templating: Flask comes with built-in support for the Jinja2 templating engine, allowing developers to create dynamic HTML templates easily.

Built-in Development Server: Flask includes a built-in development server for testing and debugging applications locally.

Django:

Django is a full-stack web framework that follows the "batteries included" philosophy, providing developers with a comprehensive set of built-in features and tools. Some key features of Django include:

Admin Interface: Django includes a powerful admin interface that allows developers to manage site content, users, and permissions out of the box.

ORM (Object-Relational Mapping): Django's ORM simplifies database interactions by abstracting away SQL queries and providing a high-level API for working with database models.

Authentication and Authorization: Django provides built-in support for user authentication, session management, and role-based access control.

Form Handling: Django's form handling capabilities make it easy to validate and process user input, reducing the complexity of form handling in web applications.

Built-in Security Features: Django includes built-in security features such as protection against common web vulnerabilities like CSRF (Cross-Site Request Forgery) and XSS (Cross-Site Scripting) attacks.

Ecosystem:

Flask:

Flask has a vibrant ecosystem with a wide range of extensions and third-party libraries that extend its functionality. Some popular Flask extensions include Flask-SQLAlchemy for database integration, Flask-RESTful for building RESTful APIs, Flask-WTF for form handling, and Flask-Login for user authentication.

Django:

Django's ecosystem is highly mature and extensive, with a vast array of reusable components, packages, and plugins available. The Django Packages website lists thousands of third-party packages categorized by functionality, including authentication, content management, e-commerce, and more. Some popular Django packages include Django REST Framework for building APIs, Django CMS for content management, and Django-allauth for authentication and social login integration.

Community Support:

Flask:

The Flask community is active and supportive, with a large number of developers contributing to the framework's development and maintenance. Flask has a dedicated website (https://flask.palletsprojects.com/) with comprehensive documentation, tutorials, and community forums where developers can seek help and share their knowledge.

Django:

Django boasts a thriving community with a wealth of resources and support available to developers. The official Django website (https://www.djangoproject.com/) provides extensive documentation, tutorials, and a community forum where developers can ask questions, share their experiences, and collaborate on projects. Additionally, DjangoCon, the annual conference for Django developers, brings together enthusiasts from around the world to learn, network, and contribute to the framework's growth.

Conclusion:

Flask and Django are both powerful web frameworks with unique features, ecosystems, and levels of community support. Flask's minimalist design and flexibility make it ideal for small to medium-sized projects or projects that require a high degree of customization. On the other hand, Django's comprehensive set of built-in features and mature ecosystem make it well-suited for rapid development and large-scale applications. By understanding the features, ecosystem, and community support of Flask and Django, developers can make an informed decision and choose the framework that best fits their project requirements and development preferences.

[sophiasmithg]

9 Top Python Frameworks for App Development (+Use Cases)

Explore here a list of Top 10 Python App Frameworks to Use in 2025:

1-Django

Django is a leading Python framework designed for building dynamic mobile and web applications with ease. It leverages a robust Object-Relational Mapping (ORM) system and follows the Model-View-Controller (MVC) pattern, ensuring clean, reusable, and easily maintainable code.

Whether you’re creating simple apps or scaling complex projects, Django’s powerful features make development faster and more efficient.

It has built-in tools like URL routing/parsing, authentication system, form validation, template engine, and caching to ensure a swift development process.

Django follows the DRY (Don’t Repeat Yourself) concept and focuses on rapid app development with a neat design.

This framework is the first choice of developers for any Python project due to its versatility, customization, scalability, deployment speed, simplicity, and compatibility with the latest Python versions.

According to a Stack Overflow survey, Django and Flask are the most popular Python software development frameworks.

Some examples popular examples of apps built with the Django framework are Instagram and Spotify.

Key Features of Django Framework:

Enables execution of automated migrations

Robust security

Enhanced web server support

Comprehensive documentation

Vast add-ins with SEO optimization

2-Flask

Flask stands out as a top-rated, open-source Python microframework known for its simplicity and efficiency. The Flask framework comes packed with features like a built-in development server, an intuitive debugger, seamless HTTP request handling, file storage capabilities, and robust client-side session support.

It has a modular and adaptable design and added compatibility with Google App Engine.

Besides Django, Flask is another popular Python framework with the Werkzeug WSGI toolkit and Jinja2 template.

Flask operates under the BSD license, ensuring simplicity and freedom for developers.

Inspired by the popular Sinatra Ruby framework, Flask combines minimalism with powerful capabilities, making it a go-to choice for building scalable and efficient web applications.

Key Features of Flask Framework:

Jinja2 templating and WSGI compliance

Unicode-based with secure cookie support

HTTP request handling capability

RESTful request dispatch handling

Built-in server development and integrated unit-testing support

Plugs into any ORM framework

3-Web2Py

Web2Py is an open-source, full-stack, and scalable Python application framework compatible with most operating systems, both mobile-based and web-based.

It is a platform-independent framework that simplifies development through an IDE that has a code editor, debugger, and single-click deployment.

Web2Py deals with data efficiently and enables swift development with MVC design but lacks configuration files on the project level.

It has a critical feature, a ticketing system that auto-generates tickets in the event of issues and enables tracking of issues and status.

Key Features of Web2py Framework:

No configuration and installation needed

Enables use of NoSQL and relational databases

Follows MVC design with consistent API for streamlining web development

Supports internationalization and role-based access control

Enable backward compatibility

Addresses security vulnerabilities and critical dangers

4-TurboGears

TurboGears is an open-source, full-stack, data-driven popular Python web app framework based on the ObjectDispatch paradigm.

It is meant to make it possible to write both small and concise applications in Minimal mode or complex applications in Full Stack mode.

TurboGears is useful for building both simple and complex apps with its features implemented as function decorators with multi-database support.

It offers high scalability and modularity with MochiKit JavaScript library integration and ToscaWidgets for seamless coordination of server deployment and front end.

Key aspects of TurboGears Framework:

MVC-style architecture

Provides command-line tools 

Extensive documentation

Validation support with Form Encode

It uses pylons as a web server

Provides PasteScript templates

5-Falcon

Falcon is a reliable and secure back-end micro Python application framework used for developing highly-performing microservices, APIs, and large-scale application backends.

It is extensible and optimized with an effective code base that promotes building cleaner designs with HTTP and REST architecture.

Falcon provides effective and accurate responses for HTTP threats, vulnerabilities, and errors, unlike other Python back-end frameworks. Large firms like RackSpace, OpenStack, and LinkedIn use Falcon.

Falcon can handle most requests with similar hardware to its contemporaries and has total code coverage.

Key Features of Falcon Framework:

Intuitive routing with URL templates

Unit testing with WSGI mocks and helpers

Native HTTP error responses

Optimized and extensible code base

Upfront exception handling support

DRY request processing

Cython support for enhanced speed

6-CherryPy

CherryPy is an object-oriented, open-source, Python micro framework for rapid development with a robust configuration system. It doesn’t require an Apache server and enables the use of technologies for Cetera templating and accessing data.

CherryPy is one of the oldest Python app development frameworks mainly for web development. Applications designed with CherryPy are self-contained and operate on multi-threaded web servers. It has built-in tools for sessions, coding, and caching.

Popular examples of CherryPy apps include Hulu and Juju.

Key features of CherryPy Framework:

Runs on Android

Flexible built-in plugin system

Support for testing, profiling, and coverage

WSGI compliant

Runs on multiple HTTP servers simultaneously

Powerful configuration system

7-Tornado

It is an open-source asynchronous networking Python framework that provides URL handling, HTML support, python database application framework support, and other crucial features of every application.

Tornado is as popular as Django and Flask because of its high-performing tools and features except that it is a threaded framework instead of being WSGI-based.

It simplifies web server coding, handles thousands of open connections with concurrent users, and strongly emphasizes non-blocking I/O activities for solving C10k difficulties. 

Key features of Tornado Framework:

Web templating techniques

Extensive localization and translation support

Real-time, in-the-moment services

Allows third-party authorization, authorization methods, and user authentication

Template engine built-in

HTTP client that is not blocking

8-AIOHTTP

AIOHTTP is a popular asynchronous client-side Python web development framework based on the Asyncio library. It depends on Python 3.5+ features like Async and Awaits. 

AIOHTTP offers support for client and server WebSockets without the need for Callback Hell and includes request objects and routers for redirecting queries to functions.

Key Highlights of AIOHTTP Python Framework:

Provides pluggable routing

Supports HTTP servers

Supports both client and WebSockets without the callback hell.

Middleware support for web servers

Effective view building

Also, there are two main cross-platform Python mobile app frameworks

9- Kivy

Kivy is a popular open-source Python framework for mobile app development that offers rapid application development of cross-platform GUI apps.

With a graphics engine designed over OpenGL, Kivy can manage GPU-bound workloads when needed.

Kivy comes with a project toolkit that allows developers to port apps to Android and has a similar one for iOS. However, porting Python apps to iOS currently is possible with Python 2.7.

Features of Kivy Framework:

Enables custom style in rendering widgets to give a native-like feel

Enhanced consistency across different platforms with a swift and straightforward approach

Well-documented, comprehensive APIs and offers multi-touch functionalities

Source of Content

[tpreetitravling]

Building Web Applications with Python: Flask and Django Explained

At the core of Flask is Werkzeug, a WSGI utility library, and Jinja2, a template engine. This combination provides developers with the tools to handle routing, HTTP requests, and dynamic content rendering efficiently.UncodeMy: Mastering Flask's Core with Werkzeug and Jinja2 for Efficient Web Development Flask follows the "micro" philosophy, meaning it includes only the essential components needed for web development, while allowing developers the freedom to choose and integrate additional libraries as per their project requirements.

Here, learners gain the freedom to not only grasp these fundamentals but also explore and integrate additional libraries seamlessly Best Python Training Course in Faridabad aligning with the diverse needs of their specific projects.