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What is SaaS Hammer?
SaaS Hammer serves as a comprehensive Django SaaS template designed to accelerate product development by integrating Django with Hotwire, which enhances developer productivity and allows a focus on product refinement. It boasts a contemporary frontend development configuration that utilizes Webpack and SWC (Speedy Web Compiler), featuring live reload functionality to deliver immediate feedback during the development cycle. With Tailwind CSS incorporated for crafting elegant user interfaces, it also provides built-in support for TypeScript. Moreover, SaaS Hammer is equipped with a component library that includes reusable UI elements such as buttons, modals, tabs, date-time pickers, selection widgets, rich text editors, and various chart types, facilitating rapid UI creation. For content management purposes, it features Wagtail CMS, which allows users to create and update pages efficiently without the need for direct template modifications. Additionally, the template offers extensive user authentication capabilities, including sign-up and email verification, all designed to guarantee a safe user experience. This robust framework ultimately empowers developers to bring their products to market in a more efficient and effective manner, making it an invaluable tool for modern web applications. By combining multiple essential features, SaaS Hammer stands out as a leading choice for developers seeking to streamline their workflow.
What is parsel?
Parsel is a Python library that is distributed under the BSD license, designed to simplify the process of extracting and manipulating data from HTML and XML documents by utilizing XPath and CSS selectors, with the added flexibility of incorporating regular expressions. To get started, one must create a selector object that targets the specific HTML or XML content for analysis. Once this is established, users can leverage either CSS or XPath expressions to pinpoint the desired elements. CSS acts as a styling language for HTML, offering selectors that connect styles to specific HTML elements, while XPath is employed to choose nodes within XML documents and can also be effectively used with HTML. While both CSS and XPath are viable options, CSS generally offers improved readability, whereas XPath possesses functionalities that may not be attainable through CSS alone. Built upon the lxml library, parsel selectors include certain EXSLT extensions and come equipped with pre-registered namespaces for use in XPath queries. Additionally, parsel selectors facilitate the chaining of selectors, allowing users to primarily select elements by class with CSS and seamlessly switch to XPath when necessary, thereby providing enhanced flexibility in data extraction tasks. This combination of features renders parsel an invaluable resource for developers engaged in web data manipulation. Moreover, the ability to toggle between two powerful selection methods ensures that users can optimize their data extraction strategies according to the complexity of their tasks.
Integrations Supported
Python
Django
HTML
JavaScript
Stripe
Tailwind CSS
Travis CI
TypeScript
Wagtail
Integrations Supported
Python
Django
HTML
JavaScript
Stripe
Tailwind CSS
Travis CI
TypeScript
Wagtail
API Availability
Has API
API Availability
Has API
Pricing Information
$299 one-time payment
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SaaS Hammer
Company Website
saashammer.com
Company Facts
Organization Name
Python Software Foundation
Company Location
United States
Company Website
pypi.org/project/parsel/